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AI Engineer with less than a year in Agentic AI and LLM Orchestration
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Assessing your cultural and operational fit
Agentic AI Engineer specializing in autonomous multi-agent systems, Retrieval-Augmented Generation (RAG) pipelines, and LLM orchestration. Delivered three production-grade AI applications using LangGraph, LangChain, FastAPI, React, and Groq LLMs — automating complex hiring, coding, and document intelligence workflows. Currently building Coder Buddy, a live Micro-SaaS AI coding platform with Supabase auth and Razorpay billing.
DRBCCC Hindu College
B.Com · Information Systems Management (ISM)
August 1, 2023 – June 30, 2026
Coder Buddy — Autonomous AI Coding Platform
October 1, 2025 – Present
Architected a full-stack autonomous AI software engineering agent using Python, FastAPI, LangGraph, and Groq LLaMA-3.3-70B that analyzes repositories, generates fix plans, applies code changes, runs tests with retry logic, and proposes commit/PR outputs — eliminating manual debugging cycles. Engineered a SaaS-ready product with Supabase authentication, Razorpay subscription billing, usage rate limiting, and Resend email notifications, enabling direct monetization from launch. Integrated GitHub PR creation and Slack/Discord webhook notifications, automating end-to-end code review workflows and reducing developer context-switching.
View ProjectRecruitAI — AI-Powered Resume Screening Agent
February 1, 2025 – September 30, 2025
Built a production-grade full-stack AI hiring automation system using FastAPI (backend) and React/Vite (frontend), orchestrating a multi-agent LangGraph workflow with Groq LLaMA-3.3-70B to parse resumes, extract skills, analyze experience/education, and score candidates against dynamic job profiles. Integrated ChromaDB vector storage and semantic search to enable low-latency, structured evaluation of PDF/DOCX candidate profiles — replacing manual resume screening with automated, ranked shortlisting. Designed a multi-agent DAG pipeline with specialized nodes for skill extraction, experience scoring, and profile matching, reducing recruiter screening time through intelligent workflow automation.
View ProjectRAG PDF Chatbot — Document Intelligence Application
January 1, 2025 – February 28, 2025
Developed an end-to-end Retrieval-Augmented Generation (RAG) application using Python, FAISS, sentence-transformers, and Google Gemini 1.5 Flash — enabling natural-language querying of multi-PDF documents with source-page citations. Built a custom ingestion pipeline using PyMuPDF and LangChain text splitters to chunk, embed, and index PDFs into FAISS, achieving sub-second semantic retrieval with a streaming Streamlit chat UI.
View ProjectPython Programming for Artificial Intelligence
NASSCOM FutureSkills Prime (MeitY, Govt. of India)
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio of personal projects, particularly the 'Coder Buddy' Micro-SaaS, indicates a strong entrepreneurial spirit and a drive for innovation, which can be a good cultural fit for dynamic, fast-paced environments. The diversity of AI applications (coding, hiring, document intelligence) shows a broad interest in applying AI solutions to real-world problems. The focus on end-to-end product development suggests a results-oriented approach. However, the lack of professional experience means team collaboration and corporate cultural adaptability are unproven.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a product-oriented mindset through the development of multiple full-stack AI applications, including a live Micro-SaaS. The project descriptions suggest an ability to work independently and drive projects from conception to deployment. However, without direct interview data or psychometric test results, specific soft skills like teamwork, communication under pressure, or problem-solving approaches cannot be fully assessed.