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AI Engineer with skills of developing LLM-powered systems, RAG, and multi-agent workflows.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GenAI Engineer with experience building LLM-powered systems and exploring reasoning behavior and structured AI applications. Experienced in developing RAG pipelines, multi-agent systems, and prompt-driven applications using LangChain and FastAPI. Strong interest in reasoning infrastructure and analyzing failure modes in LLM systems. Focused on building reliable AI systems through prompt design and system-level thinking.
Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering & Technology
B.E. · Artificial Intelligence and Data Science
August 1, 2020 – June 30, 2024
Tata Consultancy Services (TCS)
GenAI Engineer (BestBuy Project)
September 1, 2025 – Present
Pune, Maharashtra, India
Tata Consultancy Services (TCS)
Associate System Engineer
October 1, 2024 – September 1, 2025
Pune, Maharashtra, India
Inflection Zone Lab Pvt. Ltd.
SDE Intern
August 1, 2024 – July 1, 2025
India
Sensesemi Technologies Pvt. Ltd.
Machine Learning Intern
November 1, 2023 – April 1, 2024
India
LLM-Based Document Q&A Assistant
January 1, 2024 – April 1, 2024
Built a retrieval-augmented generation system for document-based question answering Designed embedding-based retrieval pipeline for contextual grounding Analyzed failure cases including hallucinations and irrelevant retrieval Improved response quality using prompt structuring Developed REST APIs using FastAPI
TransitVision: Passenger Counting System
January 1, 2024 – April 1, 2024
Developed real-time object detection system using YOLO and PyTorch Built backend inference APIs for scalable deployment Containerized application using Docker
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with professional experience as a GenAI Engineer and various internships, aligns well with an AI-focused role. The diversity of projects (RAG systems, object detection) and exposure to different companies (TCS, Inflection Zone Lab, Sensesemi Technologies) suggest adaptability and a broad interest in AI applications. The listed skills cover a good range of modern AI development, indicating a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify and analyze problems (e.g., LLM failure cases) and implement solutions (e.g., prompt structuring, multi-agent workflows). The collaboration on debugging and testing during internships suggests a team-oriented approach. The experience with production system support and Linux-based debugging indicates an operational mindset.