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AI Engineer | Generative AI Developer | LLMs · RAG · AI Agents · LangChain · NLP · Python · Pinecone · MLflow · Prompt Engineering · n8n | MCA Fresher | Immediate Joiner
MCA fresher passionate about building practical AI solutions that solve real-world problems. My focus areas include Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and AI Automation. I enjoy designing intelligent systems that combine reasoning, retrieval, and workflow orchestration to deliver meaningful outcomes. Some of the projects I've built include: • Multi-Agent AI Research System using LangChain and Groq LLMs to automate end-to-end research workflows. • RAG-based Q&A Assistant using n8n, Google Gemini, and Pinecone for context-aware document retrieval and question answering. • AI-powered automation workflows integrating LLMs, vector databases, and no-code orchestration tools. I have also completed Anthropic's certification covering Claude API, MCP (Model Context Protocol), Agentic AI Systems, and Amazon Bedrock. Technical Skills: Python • LangChain • LangGraph • CrewAI • OpenAI • Gemini • Claude API • Pinecone • FAISS • FastAPI • n8n • Docker • Prompt Engineering • Vector Databases • AI Agents I am actively seeking opportunities as an AI Engineer, Generative AI Developer, or LLM Engineer where I can apply my skills, contribute to impactful projects, and continue growing in the field of Artificial Intelligence.
Pimpri Chinchwad University, Pune
Master of Computer Applications - MCA, Computer Science
August 1, 2023 – May 1, 2025
Savitribai Phule Pune University
Bca, Computer Applications
January 1, 2020 – May 1, 2023
Internship Studio
Data Science Intern | Internship Studio (Jun 2025 - Dec 2025)
June 1, 2025 – December 1, 2025
Pune District, Maharashtra, India · Remote
ProfoundEdutech
Java Backend Developer Intern
February 1, 2025 – September 1, 2025
Pune District, Maharashtra, India · On-site
ResumeForgeAI-Multi-Agent-ATS-Resume-Builder
April 1, 2026 – June 1, 2026
ResumeForge AI – Multi-Agent ATS Resume Builder is an intelligent AI-powered platform that generates ATS-optimized resumes tailored to specific job descriptions using multiple AI agents and LLMs. The system analyzes job descriptions, GitHub profiles, portfolio websites, and existing resumes to extract relevant skills, projects, and achievements, and converts them into professional, recruiter-friendly resumes. It is powered by Groq and Google Generative AI (Gemini) for intelligent resume writing, ATS score analysis, keyword matching, and improvement suggestions. The platform also supports PDF resume generation using ReportLab, along with document processing using PyPDF2, python-docx, and PyLaTeX. The backend is built with Python, and enhanced using LangChain and LangGraph for multi-agent orchestration. It includes data processing with Pandas and NumPy, web scraping using BeautifulSoup and Requests, and an interactive frontend built with Streamlit. For analytics and visualization, it uses Plotly. This multi-agent pipeline ensures a structured workflow from data extraction to final resume generation, helping users improve ATS scores and increase interview chances.
Multi-AI Chatbot Agent Platform
March 1, 2026 – April 1, 2026
A production-ready multi-LLM chatbot web application that integrates Gemini, Groq, and OpenRouter using n8n workflow orchestration and webhook-based communication. The system intelligently routes prompts across multiple AI providers and returns structured responses to a modern glassmorphism chat interface.
Multi-Agent AI Research System
March 1, 2026 – June 1, 2026
Multi-Agent AI Research System is an advanced agentic AI platform built using LangChain, Groq LLMs, and Streamlit that demonstrates how multiple intelligent agents can collaborate to automate end-to-end research workflows. The system performs web search, content extraction, report generation, and quality evaluation through a structured multi-agent pipeline. It includes a Search Agent for retrieving relevant information, a Reader Agent for extracting web content, a Writer Chain for generating detailed research reports, and a Critic Agent for evaluating and improving output quality. The entire workflow is orchestrated using LangChain-based agent pipelines with shared context between agents. Built with Python and enhanced using Groq LLM, BeautifulSoup, Requests, and environment management via Python-dotenv, the system provides a clean Streamlit interface for interactive research generation. This project showcases real-world applications of agentic AI in market research, academic analysis, and automated knowledge discovery systems. Tech Stack: Python, LangChain, Groq LLM, Streamlit, BeautifulSoup, Requests, Python-dotenv, Agentic AI, LLMs
Q-A-AI-Agent-with-RAG-using-n8n-
March 1, 2026 – April 1, 2026
Q&A AI Agent with RAG using n8n is a no-code AI chatbot system that implements Retrieval-Augmented Generation (RAG) to answer questions from custom documents. Built using n8n workflow automation, Google Gemini, Pinecone vector database, and Google Drive, the system enables intelligent document-based question answering without traditional coding. It works by ingesting documents from Google Drive, splitting them into chunks, generating embeddings using Gemini, and storing them in Pinecone for semantic search. When a user asks a question, the system retrieves the most relevant context from the vector database and uses Gemini to generate accurate, context-aware responses. The workflow is fully automated using n8n, making it highly scalable and customizable. This project demonstrates a complete end-to-end RAG pipeline for building AI-powered knowledge assistants, enterprise chatbots, and document-based Q&A systems. Tech Stack: n8n, Google Gemini (LLM + Embeddings), Pinecone, Google Drive, RAG Architecture, Vector Embeddings, Workflow Automation
AI-Customer-Support-Command-Center
February 1, 2026 – June 1, 2026
AI Customer Support Agent Platform (RAG + Agentic AI + MLOps) Developed an enterprise-grade AI-powered customer support platform using a multi-agent architecture to automate customer query resolution. Built a LangGraph-based agent orchestration system with specialized agents for support, billing, knowledge retrieval, quality assurance, and escalation workflows. Implemented Retrieval-Augmented Generation (RAG) using Pinecone Vector Database and Sentence Transformers embeddings to provide context-aware and accurate responses powered by Groq Llama 3 models. Designed REST APIs using FastAPI with JWT authentication, ticket management, conversation history tracking, and real-time chat capabilities. Integrated PostgreSQL for data persistence, MLflow for experiment tracking and model evaluation, and GitHub Actions CI/CD pipelines for automated deployment. Containerized the application using Docker and deployed it on Kubernetes with monitoring, scalability, and production-ready infrastructure. Key Technologies: Python, FastAPI, LangGraph, LangChain, RAG, Groq Llama 3, Pinecone, PostgreSQL, SQLAlchemy, JWT, MLflow, Docker, Kubernetes, GitHub Actions, CI/CD, Vector Databases, Agentic AI, NLP, MLOps.
AI Recruitment Email Automation Agent (n8n + Groq LLM + Gmail API)
February 1, 2026 – March 1, 2026
Built an AI-powered email automation agent that intelligently detects Interview, Selection, Offer, and Rejection emails from company inbox messages and organizes them into structured tracking dashboards with real-time alerts. Developed using n8n workflow automation, Groq LLM APIs, Gmail API integration, and Google Sheets logging, the system eliminates manual recruitment email tracking and acts as a smart job-application communication assistant. Key Features :- ✅ Automatically fetches recruitment emails from Gmail ✅ Uses Groq LLM to classify Interview / Selection / Offer / Rejection responses ✅ Extracts structured job-communication insights ✅ Logs results into Google Sheets dashboard ✅ Sends real-time alert notifications ✅ Eliminates manual inbox tracking effort ✅ Fully automated Agentic AI workflow using n8 Workflow Architecture:-Gmail Trigger → Date Filter → Groq LLM Email Classification → Job Email Parser → Selection / Offer Detection → Google Sheets Logger → Alert Notification Tech Stack:- n8n Workflow Automation Groq LLM API Gmail API Integration Google Sheets API AI Email Classification Pipeline Agentic Workflow Automation
Tech Release Email Agent – Java & React (Groq AI + n8n)
February 1, 2026 – March 1, 2026
Built an AI-powered automation workflow that monitors the latest Java and React releases, generates structured summaries using Groq LLM, and sends automated developer-friendly email alerts through n8n orchestration. The system demonstrates a real-world LLM-driven API integration pipeline designed to improve developer productivity by eliminating manual release tracking Key Highlights ✅ Tracks latest Java & React release updates automatically ✅ Uses Groq LLM for intelligent release summarization ✅ Sends structured email notifications via Gmail API ✅ Fully scheduled workflow using n8n Cron automation ✅ Demonstrates AI workflow orchestration + API pipelines ✅ Implements structured JSON parsing and transformation logic Tech Stack n8n · Groq LLM API · GitHub Releases API · Gmail API · JavaScript · JSON Processing · Automation Pipelines
Spring AI Generative Chatbot Application
January 1, 2026 – March 1, 2026
Built a full-stack Generative AI chatbot using Spring AI, Spring Boot, React.js, Groq LLM APIs, and Ollama local models, enabling real-time conversational interaction with support for both cloud-based and locally hosted open-source LLMs such as LLaMA, Mistral, and Gemma. Implemented tool-based agents, conversational memory, and vector database integrations to support intelligent responses and scalable retrieval-augmented AI workflows. Key Features (Add this section) ✅ Developed chatbot backend using Spring AI (Spring Boot) ✅ Integrated Groq LLM APIs for high-speed inference ✅ Enabled local LLM execution using Ollama ✅ Built React.js real-time chatbot interface ✅ Implemented tool-based agents and memory support ✅ Explored vector database integration for RAG pipelines ✅ Supports both local and API-based LLM architectures Tech Stack (Correct Section to Add) Use this exactly: Java · Spring Boot · Spring AI · React.js · Groq LLM API · Ollama .REST APIs
Job-Finder-AI-Agent
December 1, 2025 – February 1, 2026
Job Finder AI Agent is an end-to-end AI-powered job automation system that intelligently searches LinkedIn jobs, evaluates them against a candidate’s resume using LLMs, generates personalized cover letters, and sends real-time Telegram alerts — eliminating manual job searching and repetitive applications. Built using n8n workflow automation, Groq LLM APIs, Google Sheets, and Telegram Bot integration, this system acts as a fully automated AI job discovery engine. n8n Groq LLM AI Agent Google Sheets Telegram Bot Node.js Automation
AI-Built Resume Website
November 1, 2025 – November 1, 2025
My professional resume transformed into an interactive website using AI Showcasing my projects, experience, and technical expertise in Java • Spring Boot • React.js • MySQL
JARVIS – Real-Time AI Personal Assistant
November 1, 2025 – February 1, 2026
A real-time AI personal assistant built with Python capable of executing system commands, answering queries, automating keyboard and mouse actions, managing files, and storing persistent memory. Designed with a modular architecture for extensibility and real-world automation use cases. Python AsyncIO OpenAI API Gemini API Windows Automation Keyboard Automation Mouse Automation JSON Storage
jpmorgan-forage-simulation
August 1, 2025 – August 1, 2025
Spring Boot-based simulation handling financial transactions with Kafka, H2 Database, and REST APIs. Features real-time transaction processing, validation, and incentives integration. 🛠 Tech Stack: Java · Spring Boot · Kafka · H2 · REST API · JPA 🚀 Key Learnings: Implemented transaction validation, microservices, incentives API, and strengthened unit/integration testing skills.
AI-Powered-Fitness-App-With-Spring-Boot-Microservices
July 1, 2025 – September 1, 2025
Developed a full-stack AI fitness platform using Spring Boot microservices, React, MongoDB, MySQL, and Docker, delivering personalized workout and nutrition recommendations. Integrated Google Gemini API for AI-driven activity suggestions with 92% prediction accuracy. Architected a scalable, secure microservices ecosystem with Kafka, Keycloak & OAuth2, API Gateway, and Docker, ensuring real-time reliability. Tech Stack: Spring Boot, Kafka, Keycloak, OAuth2, API Gateway, Eureka, React, MongoDB, MySQL, Docker, Postman, IntelliJ IDEA
Covid-19 Data Analysis Project using Python
June 1, 2025 – Present
Covid-19 Data Analysis Project – IStudio Internship Analyzed global Covid-19 data using Python, Pandas, NumPy, Seaborn, and Matplotlib to extract insights and visualize trends. Performed data cleaning, feature engineering, aggregation, and visualization, including histograms, scatter plots, and bar plots. Developed a new feature (total_deaths_to_total_cases) and gained hands-on experience in data analysis, manipulation, and visualization for informed decision-making.
Ai Chatbot Project
June 1, 2025 – August 1, 2025
Developed a responsive web-based chatbot using JavaScript, CSS, and HTML that leverages LLM-based conversational AI to answer user queries in real time. Optimized for accessibility and performance, delivering a seamless and interactive user experience. Tech Stack: Frontend: HTML, CSS, JavaScript API: Groq
Multi-Vendor eCommerce Platform
March 1, 2025 – August 1, 2025
Developed a full-stack multi-vendor platform with role-based access (Admin, Seller, Customer), secure backend (Spring Boot, Spring Security, MySQL), and responsive frontend (React, TypeScript, Redux Toolkit, MUI, Tailwind), improving page load speed by 20%. ▪ IntegratedanAIchatbotwithconversationalAI,reducingcustomer response time by 35% and enhancing user engagement.
Personal Portfolio Website
February 1, 2025 – March 1, 2025
Developed a responsive personal portfolio website using Next.js and React.js, deployed on Netlify. Showcased skills, projects, and contact section with smooth navigation and modern UI/UX.
Employee Management System
April 1, 2024 – June 1, 2024
Built a full-stack application using React (Hooks) and Spring Boot, implementing CRUD operations, integrating MySQL, and testing REST endpoints with Postman. ▪ Implemented an AI Agent powered by the Google Gemini API, enabling intelligent automation and real-time system assistance.
MazeBank Desktop Application
January 1, 2024 – March 1, 2024
A secure desktop banking system built with JavaFX and MVC architecture. Features include account management, fund transfers, transaction history, income/expense summaries, and user authentication. Designed with a modern, responsive UI using Scene Builder, CSS, and FXML to provide an intuitive user experience.
Cloud Virtual Internship
EduSkills Foundation®
June 23, 2026 – Present
Career Essentials in Generative AI by Microsoft and LinkedIn
June 23, 2026 – Present
AI and Career Empowerment
University of Maryland - Robert H. Smith School of Business
June 23, 2026 – Present
Business Email
HP LIFE
June 23, 2026 – Present
Genrative ai
Simplilearn
June 23, 2026 – Present
AI for Business Professionals
HP LIFE
June 23, 2026 – Present
Java Unit Testing with JUnit & Mockito
Simplilearn
June 23, 2026 – Present
Software Engineering Job Simulation
Forage
June 23, 2026 – Present
Software Engineer Intern Certificate
HackerRank
June 23, 2026 – Present
Java (Basic) – HackerRank Skill Certification
HackerRank
June 23, 2026 – Present
SQL (Advanced) Skill Certification – HackerRank
HackerRank
June 23, 2026 – Present
Agile Project Management Certifications
HP LIFE
June 23, 2026 – Present
CI/CD for Beginners
Simplilearn
June 23, 2026 – Present
Frontend Developer (React)
HackerRank
June 23, 2026 – Present
Chatgpt for Everyone
HCL GUVI
June 23, 2026 – Present
Advanced Prompt Engineering with ChatGPT
upGrad
June 23, 2026 – Present
AI Agents for Beginners
Simplilearn
June 23, 2026 – Present
Claude Code in Action
Anthropic
June 23, 2026 – Present
Introduction to Model Context Protocol
Anthropic
June 23, 2026 – Present
Effective Leadership
HP LIFE
June 23, 2026 – Present
Professional Networking forCareer Growth
HP LIFE
June 23, 2026 – Present
Software Architecture & System Design Foundations
ScholarHat
June 23, 2026 – Present
Building with the Claude API
Anthropic
June 23, 2026 – Present
Critical Thinking in the AI Era
HP LIFE
June 23, 2026 – Present
AI Productivity Hacks to Reimagine Your Workday and Career
LinkedIn Learning Community
June 23, 2026 – Present
Understanding Agentic AI
Digital Workforce Services Plc
June 23, 2026 – Present
Claude 101
Anthropic
June 23, 2026 – Present
Resume Writing and Job Interviewing
HP LIFE
June 23, 2026 – Present
Full Stack Java Developer
ProfoundEdutech
June 23, 2026 – Present
IBM Data Science
Coursera
June 23, 2026 – Present
Meta Back-End Developer
Coursera
June 23, 2026 – Present
Meta Front-End Developer
Coursera
June 23, 2026 – Present
Ai Agent Devloper
Coursera
June 23, 2026 – Present
Deploy and Maintain Power BI Assets and Capstone project
Coursera
June 23, 2026 – Present
MEAN Stack Developer: MongoDB, ExpressJS, AngularJS & NodeJS
Coursera
June 23, 2026 – Present
Apache Kafka
Coursera
June 23, 2026 – Present
MERN Stack Front To Back: Full Stack React, Redux & Node.js
Coursera
June 23, 2026 – Present
AWS Fundamentals
Coursera
June 23, 2026 – Present
Kubernetes Integration and Advanced Orchestration Techniques
Coursera
June 23, 2026 – Present
Securing, Monitoring, and Scaling Kubernetes Clusters
Coursera
June 23, 2026 – Present
Advanced Kubernetes Deployment Strategies & Networking
Coursera
June 23, 2026 – Present
Cloud Native, Microservices, Containers, DevOps and Agile
Coursera
June 23, 2026 – Present
AI Fluency: Framework & Foundations
Anthropic
June 23, 2026 – Present
Gemini for Google Workplace
Simplilearn
June 23, 2026 – Present
Introduction to Prompt Engineering
Simplilearn
June 23, 2026 – Present
Gemini Certified Student
June 23, 2026 – Present
Full Stack Java Developer
ANUDIP FOUNDATION
June 23, 2026 – Present
Advanced Software Engineering Job Simulation
Forage
June 23, 2026 – Present
Introduction to Prompt Engineering with GitHub Copilot
Simplilearn
June 23, 2026 – Present
Software Engineer Role Certification – HackerRank
HackerRank
June 23, 2026 – Present
AI for Beginners
HP LIFE
June 23, 2026 – Present
Getting Started with Full Stack Java Development
Simplilearn
June 23, 2026 – Present
JavaScript (Intermediate)
HackerRank
June 23, 2026 – Present
Effective Presentations
HP LIFE
June 23, 2026 – Present
TCS iON Career Edge - Young Professional
Tata Consultancy Services
June 23, 2026 – Present
AI Agents for Everyday Professionals: Simple Automations to Speed Up Your Work (No Code Required)
LinkedIn Learning Community
June 23, 2026 – Present
Building a Deep Research AI Agent
Analytics Vidhya
June 23, 2026 – Present
Building Agent using AutoGen
Analytics Vidhya
June 23, 2026 – Present
Introduction to CrewAI: Building a Researcher Assistant Agent
Analytics Vidhya
June 23, 2026 – Present
Build with AI: Reasoning Models for AI Agents
LinkedIn Learning Community
June 23, 2026 – Present
Building Data Analyst AI Agent
Analytics Vidhya
June 23, 2026 – Present
Mastering Agentic Conversation Pattern with AG2
Analytics Vidhya
June 23, 2026 – Present
Build a Resume Review Agentic System with CrewAI
Analytics Vidhya
June 23, 2026 – Present
Strategy to Action: Build an AI Execution Copilot with OpenAI AgentKit
LinkedIn Learning Community
June 23, 2026 – Present
Hands-On AI: Build an Autonomous Agent with the Claude Agent SDK
LinkedIn Learning Community
June 23, 2026 – Present
The State of Generative AI: Images, Prompting, and Language Models
LinkedIn Learning Community
June 23, 2026 – Present
Welcome to the Building AI Products: Prototyping Essentials" Professional Certificate
LinkedIn Learning Community
June 23, 2026 – Present
Build with AI: Creating Apps with Cursor 2 Agents
LinkedIn Learning Community
June 23, 2026 – Present
Introduction to Generative AI Studio
Simplilearn
June 23, 2026 – Present
Building Agentic AI system with Bedrock
Analytics Vidhya
June 23, 2026 – Present
Generative Al Mastermind
Outskill
June 23, 2026 – Present
AWS AI Practitioner Challenge
Udacity
June 23, 2026 – Present
AWS AI & ML Scholars - 2026 Challenge Completion
Udacity
June 23, 2026 – Present
AWS Scholars Program Project Badge: Build Your First AI Productivity App
Udacity
June 23, 2026 – Present
Vibe Coding Your First Agent with Google Gemini
June 23, 2026 – Present
AI for Nonprofits Professional Certificate Assessment
June 23, 2026 – Present
Al tools and ChatGPT workshop
Be10x
June 23, 2026 – Present
The GenAI Prompt Playbook: ReadyMade Prompts to Boost Productivity
June 23, 2026 – Present
Model Context Protocol: Advanced Topics by Anthropi
June 23, 2026 – Present
AI Skills in Minutes: Quick Wins for Prompting, Research, and Productivity
June 23, 2026 – Present
Introduction to Spring AI
June 23, 2026 – Present
RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance
June 23, 2026 – Present
Automate Everything With n8n
LetsUpgrade
June 23, 2026 – Present
Become an AI-Powered People Manager
LinkedIn Learning Community
June 23, 2026 – Present
AI Fluency for educators
Anthropic
June 23, 2026 – Present
Claude with Amazon Bedrock
Anthropic
June 23, 2026 – Present
AI Fluency for nonprofits
Anthropic
June 23, 2026 – Present
Teaching AI Fluency
Anthropic
June 23, 2026 – Present
AI Agents Fundamentals
Hugging Face
June 23, 2026 – Present
Claude with Google Cloud's Vertex AI
Anthropic
June 23, 2026 – Present
Deep Agents
LangChain Playground
June 23, 2026 – Present
AI for Product Management
Pendo.io
June 23, 2026 – Present
AI Fluency for students
Anthropic
June 23, 2026 – Present
Model Context Protocol: Advanced Topics
Anthropic
June 23, 2026 – Present
Practical GitHub Actions
June 23, 2026 – Present
Practical GitHub Copilot
June 23, 2026 – Present
Career Essentials in GitHub Professional Certificate
LinkedIn Learning Community
June 23, 2026 – Present
Prompt Engineering for Everyone
Cognitive Class
June 23, 2026 – Present
Foundations of Prompt Engineering
Amazon Web Services (AWS)
June 23, 2026 – Present
Introduction to Agentic AI on AWS Completed: March 08, 2026
Amazon Web Services (AWS)
June 23, 2026 – Present
Gen AI 360 Certification – RAG with LangChain & LlamaIndex
Activeloop
June 23, 2026 – Present
Leading Through AI Agent Disruption
LinkedIn Learning Community
June 23, 2026 – Present
Build with AI: Creating AI Agents with GPT‑5
LinkedIn Learning Community
June 23, 2026 – Present
Build with AI: Create Custom Chatbots with n8n
LinkedIn Learning Community
June 23, 2026 – Present
Extend Microsoft 365 Copilot with AI Agents
LinkedIn Learning Community
June 23, 2026 – Present
Model Context Protocol (MCP) for Beginners by Microsoft
LinkedIn Learning Community
June 23, 2026 – Present
Prompt Engineering: How to Talk to the AIs
LinkedIn Learning Community
June 23, 2026 – Present
Knowledge Bases & Memory for Agentic AI
Analytics Vidhya
June 23, 2026 – Present
A B C of Coding to Build AI Agents
Analytics Vidhya
June 23, 2026 – Present
Advanced Prompt Engineering Techniques
LinkedIn Learning Community
June 23, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong passion for AI and ML, aligning well with an ML Engineer role. The diverse range of projects, from data analysis to multi-agent systems and full-stack AI applications, demonstrates a broad interest and willingness to explore different facets of the field. The numerous certifications, especially in AI, prompt engineering, and cloud, indicate a self-driven learner. However, the experience level is quite junior (internships and academic projects), which might require significant mentorship in a senior-level role. The projects are predominantly personal, which is good for demonstrating initiative but lacks the complexity and team dynamics of enterprise-level contributions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and applying new technologies. The focus on building end-to-end solutions, including deployment and monitoring, suggests a strong operational fit for roles requiring practical implementation. Collaboration is mentioned in one internship, indicating some team experience. However, without specific psychometric or communication test results, a deeper assessment of soft skills like stress handling, leadership, or advanced communication is not possible.