AI Research Engineer with less than a year in RAG, LLMs & chatbot development
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B.Tech CSE student specializing in AI/ML and Generative AI, with hands-on experience in RAG, LLMs, vector databases, and chatbot development. Co-authored a paper accepted at IEEE RO-MAN 2026 on proactive conversational AI, and has fine-tuned small language models (Llama 3.2, Gemma 3, Phi) using LORA/QLORA during an AI Research internship at TCS Research. Built production-grade chatbots at Harman International with measurable accuracy gains.
Vellore Institute of Technology
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Padmawati Academy
Class 12th
June 1, 2021 – May 31, 2022
TCS Research
AI Research Intern
January 1, 2026 – May 1, 2026
New Delhi, Delhi, India
Harman International
AI/ML Intern
May 1, 2025 – October 1, 2025
India
PDF Explorer Chatbot
September 1, 2025 – Present
Architected using Python, Retrieval Augmented Generation (RAG), ChromaDB, and Tesseract OCR. The chatbot enables users to perform natural language queries over PDF documents, automatically extracting and interpreting complex information. This solution enhances the accessibility of unstructured data, reduces manual search effort, and increases information retrieval accuracy by 95%.
AI Powered SQL Chatbot with Multilingual and Graph Support
June 1, 2025 – Present
Designed and implemented using Python, MySQL/PostgreSQL, and Vector Databases. The chatbot allows users to query structured databases in multiple natural languages, automatically generating SQL queries and returning results in tabular and graphical formats. This system improves usability for non-technical users, supports multilingual workplaces, and enhances efficiency in data-driven decision-making.
Claude 101
Anthropic
June 1, 2026 – Present
AI Fluency: Framework & Foundations
Anthropic
June 1, 2026 – Present
The Complete Agentic AI Engineering Course
Udemy
September 1, 2025 – Present
Python for Data Science and Machine Learning Bootcamp
Udemy
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internships are highly aligned with the 'AI Research Engineer' target role, demonstrating a clear passion and focus on AI/ML and Generative AI. The diversity of projects (SQL chatbot, PDF explorer, proactive conversational AI) shows a broad interest within the AI domain. The certifications further reinforce a commitment to continuous learning and staying updated with industry trends. The research publication indicates a strong fit for a research-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest a proactive approach to problem-solving and a focus on delivering measurable results. The research paper co-authorship indicates collaboration skills. The volunteer experience as a Marketing Head suggests leadership, team management, and communication skills, which are valuable for operational fit in a research engineering role.