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Generative AI Engineer with less than a year in LLM-powered applications & RAG.
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Gen AI Developer with hands-on experience in building LLM-powered applications using RAG (Retrieval-Augmented Generation). I am skilled in LangChain, FastAPI, vector databases (FAISS), and Hugging Face embeddings. Developed multiple end-to-end AI solutions including document Q&A systems and analytics assistants. Strong understanding of prompt engineering, semantic search, and API-based AI deployment. I am currently working as an Associate Software Engineer with a focus on upskilling in Generative AI.
Bhilai Institute of Technology
B.Tech · Electronics and Telecommunication
August 1, 2021 – June 30, 2025
Vrize
Associate Software Engineer
September 1, 2025 – Present
Raipur, Chhattisgarh, India
Research Paper Assistant
September 1, 2025 – Present
Built an end-to-end RAG pipeline enabling multi-PDF questions answering with citation-based responses (paper name, page number). Implemented document ingestion, chunking, and embedding generation with FAISS vector database for fast semantic retrieval. Developed REST APIs using FastAPI (/upload, /chat, /health) to expose the pipeline as a production-ready service. Optimized retrieval accuracy through top-k search tuning and chunk size optimization.
Employee Analytics Assistant
September 1, 2025 – Present
Built AI-powered system for natural language querying over employee CSV data, replacing manual data lookups. Implemented RAG chatbot with MMR retrieval for improved relevance across department, manager, and location-based queries. Exposed full analytics functionality via FastAPI with structured, production-ready response formatting.
Generative AI & RAG
Udemy
June 1, 2026 – Present
Python Certification
Simplilearn
June 1, 2026 – Present
Machine Learning Certification
Simplilearn
June 1, 2026 – Present
MySQL Certification
Simplilearn
June 1, 2026 – Present
Data Structures & Algorithms in C++
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a strong interest in Generative AI, aligning well with a target role in this domain. The educational background in Electronics and Telecommunication, combined with self-driven AI projects and certifications, shows a proactive learning attitude. The current role as an Associate Software Engineer at Vrize, focusing on AI, further strengthens the cultural fit for an AI-centric organization. The diversity of projects (research assistant, HR analytics) indicates a breadth of application interest.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions and optimize for performance (e.g., retrieval accuracy). Collaboration with an engineering team is mentioned, suggesting a team-oriented approach. However, specific soft skills like problem-solving methodology, adaptability, or leadership are not explicitly detailed.