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AI Engineer with less than a year in Generative AI & Machine Learning Pipelines
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Computer Engineering graduate (CGPA 8.41) with hands-on experience in Generative AI, LLMs, Prompt Engineering, and ML pipelines. Built and deployed real-world AI systems including NLP chatbots, surveillance systems using YOLOv8, and AI-integrated ticket classification tools. Passionate about developing scalable AI-driven applications and contributing to cutting-edge GenAI solutions.
SNJB's Late Sau K.B.Jain College of Engineering
B.E. · Computer Engineering
August 1, 2021 – June 30, 2025
IBM SkillsBuild Program – Edunet Foundation & AICTE
AI & Cloud Intern
July 1, 2024 – August 31, 2024
India
EduSkills Foundation & AICTE
AI-ML Virtual Intern
July 1, 2024 – September 30, 2024
India
AI-Powered CRM HCP Interaction Module (LangGraph + LLM)
April 1, 2026 – April 30, 2026
Developed an AI-first CRM module for healthcare professionals to log interactions-conversational chat & structured forms. Built a full-stack application using React (Redux) and FastAPI, integrating a LangGraph-based AI agent. Implemented 5 AI tools: interaction logging, editing, summarization, entity extraction, and follow-up recommendation. Enabled real-time form auto-population from chat inputs using structured JSON responses. Integrated Groq LLM API for intelligent parsing and automation of CRM workflows. Designed modular backend architecture and handled API security using environment variables.
View ProjectAI-Integrated Support Ticket Classification System
February 1, 2026 – March 1, 2026
Built a full-stack ticket management system with REST APIs, CRUD operations, and real-time status tracking. Integrated AI-based classification logic for automated ticket prioritization and routing. Dockerized the backend for consistent, scalable deployment across environments.
View ProjectAdaptive Vigilance: Deep Learning-Based Video Analysis
January 1, 2025 – May 31, 2025
Built a real-time smart surveillance system detecting suspicious objects (knife, gun) and unauthorized access. Integrated YOLOv8 for live object detection in video streams with high accuracy. Developed a Flask-based admin dashboard for camera management, real-time alerts, and video logs. Deployed the system in a secure local network environment with video retention logic.
View ProjectShortest Path Finding Chatbot - IBM Watson Studio
July 1, 2024 – August 31, 2024
Designed an interactive NLP chatbot that extracts source/destination from user input and computes optimal routes. Deployed a cloud-based chatbot solution on IBM Cloud for real-time responses.
View ProjectGoogle Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Cloud Computing with AWS
DevTown Bootcamp
June 1, 2026 – Present
AI & Cloud Internship Completion
IBM SkillsBuild / Edunet Foundation / AICTE
June 1, 2026 – Present
Java Training Program
Besant Technologies, Electronic City
June 1, 2026 – Present
AI-ML Virtual Internship
EduSkills Foundation / AICTE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse AI applications (computer vision, NLP, full-stack AI systems), indicating a broad interest in the field. The internships with IBM SkillsBuild and EduSkills Foundation show initiative and a desire for continuous learning, which are positive indicators for cultural fit. The target role of 'AI Engineer' aligns well with the candidate's demonstrated skills and project focus. The breadth of technologies used (Python, Flask, React, Docker, various AI/ML libraries) suggests adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The academic nature of projects and internships implies a learning-oriented and collaborative approach, which aligns with operational fit in a team environment. However, direct evidence of communication, teamwork, or leadership in a professional setting is limited due to the candidate's experience level.