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AI Engineer with 2+ years in Backend Development, Machine Learning & Generative AI
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Python Developer with 1.5 years of experience in backend development and AI-driven applications. Skilled in building scalable REST APIs using FastAPI and developing intelligent systems using Machine Learning, NLP, and Generative AI (RAG, LangChain, LangGraph, Gemini). Strong experience in designing end-to-end solutions, automating workflows, and solving real-world business problems.
Dr. Babasaheb Ambedkar Technological University
B.Tech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Tata Consultancy Services
Python Developer (AI/ML)
April 1, 2025 – Present
India
Freelance
Python Developer
October 1, 2024 – March 1, 2025
India
Rokkun Systems Private Limited
Python Developer
May 1, 2024 – August 1, 2024
India
Root Cause Analysis Chatbot - LLM-Powered Database Diagnostics
June 1, 2026 – Present
Built an AI-driven RCA chatbot using LangChain and LLMs to automatically diagnose Oracle database errors, analyze system logs, and suggest root cause fixes. Integrated RAG pipeline with FAISS vector store to retrieve relevant diagnostic procedures and past incident resolutions from a curated knowledge base. Developed FastAPI backend with natural language query interface, enabling engineers to investigate database issues without manual log parsing.
Intelligent PDF Data Extraction & Excel Reporting System
June 1, 2026 – Present
Built an end-to-end pipeline using LangChain and Gemini 2.5 to ingest daily PDF documents and extract client-defined terms and data fields using LLM-based parsing. Designed a multi-document aggregation engine processing an entire month's PDFs, consolidating extracted data into auto-generated Excel reports. Implemented smart chunking and semantic search to handle unstructured PDFs, achieving high extraction accuracy across diverse document layouts.
Machine Learning
NPTEL
June 1, 2026 – Present
DSA using Python (Elite)
NPTEL
June 1, 2026 – Present
Database Management Systems
NPTEL
June 1, 2026 – Present
Programming in Java (Silver)
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including a chatbot for database diagnostics and a PDF data extraction system, shows a breadth of application in AI. The experience with both full-time and freelance roles, coupled with certifications, indicates a drive for continuous learning and adaptability. The target role of 'AI Engineer' aligns well with the candidate's recent experience and project focus on LLMs, RAG, and AI application development. The candidate's skills are highly relevant to the target role, suggesting a good cultural fit for an AI-centric team.
Soft Skills & Operational Fit
The candidate's resume indicates experience in collaborating with cross-functional teams and designing end-to-end solutions, suggesting a proactive and team-oriented approach. The project descriptions highlight problem-solving skills in diagnosing database errors and automating data extraction, which are valuable for operational roles. However, without specific psychometric test results, a deeper assessment of stress handling, work attitude, and team collaboration is not possible.