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Generative AI Engineer with 1+ years in LLM-powered applications & backend development.
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GenAI Associate at PwC with hands-on experience in building LLM-powered applications using LangChain, LangGraph, and FastAPI. Skilled in developing backend APIs, orchestrating graph-based chatbot workflows, and enabling intelligent document understanding across PDFs and PPTs. Adept at integrating knowledge bases with LLMs to deliver accurate, context-aware responses. Strong problem-solving skills backed by DSA.
INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY, SHIBPUR
B.Tech · Electronics and Telecommunication
August 1, 2021 – June 30, 2025
RSM INTERNATIONAL SCHOOL, JODHPUR
12th
N/A – Present
ST. PAUL'S SR. SEC. SCHOOL, JODHPUR
10th
N/A – Present
PricewaterhouseCoopers (PwC)
Associate
July 1, 2025 – Present
India
NoQs Digital
SDE Intern
June 1, 2023 – August 1, 2023
India
Chatbot
June 1, 2026 – Present
Built an AI-powered chatbot backend using FastAPI, integrating LangChain and LangGraph to enable modular, scalable conversational workflows. Implemented Retrieval-Augmented Generation (RAG) with document ingestion (PDF/DOCX), chunking, embeddings, and vector storage in PostgreSQL for context-aware responses. Integrated external capabilities like web search and Email to allow real-time information retrieval and email-based query handling. Designed optimized backend architecture with async processing, semantic search, and intelligent routing between tools (RAG, web, email) for accurate and efficient responses.
View ProjectSchool Management
June 1, 2026 – Present
Created a full stack project using Python, Django and MySQL. Includes feature regarding adding student, teacher. Evaluating marks, attendance. Sending automated notice. Also includes otp generation and verification on mail. Used RazorPay payment gateway.
View ProjectLibrary Management System
June 1, 2026 – Present
Created a project of CRUD operations for library management. OOPs concepts used. Languages used C++, MySQL.
View ProjectNPTEL Course on Programming Data Structures and Algorithm using Python
NPTEL
June 1, 2026 – Present
Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from traditional web development (Django, Netflix Clone) to advanced AI chatbots, indicates adaptability and a broad interest in technology. The experience at PwC as an Associate in GenAI, coupled with personal projects in the same domain, shows a clear alignment with the target role of Generative AI Engineer. Participation in NPTEL courses and Microsoft certifications (Azure AI Fundamentals) demonstrates a commitment to continuous learning and professional development, which are positive indicators for cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions and professional experience indicate a proactive approach to learning and problem-solving, as evidenced by the 'Best Intern Award' and consistent problem-solving on platforms like CodeChef. The ability to integrate various tools and design modular workflows suggests good operational fit for complex AI projects. However, without specific psychometric or English test results, a deeper assessment of communication clarity, logical reasoning, and team collaboration is not possible.