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AI Engineer with 6+ years in Machine Learning, NLP & Generative AI
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AI/ML Engineer with extensive experience in Python development, Generative AI, RAG, and NLP. Proven track record in DRDO research, designing and implementing advanced AI/ML algorithms, optimizing performance, and developing innovative solutions for complex problems. Skilled in guiding junior fellows, preparing technical reports, and managing projects from conception to documentation.
Kerala Technological University, SCT Engineering College
M TECH · COMPUTER SCIENCE ENGINEERING
January 1, 2019 – January 1, 2021
Kerala Technological University, LBS Institute of Technology Trivadrum
B TECH · COMPUTER ENGINEERING
January 1, 2016 – January 1, 2019
Kerala Technical Education, Government Polytechnic College, Neyattinkara
DIPLOMA · COMPUTER SCIENCE
January 1, 2013 – January 1, 2016
Defence Electronic Research Laboratory (DLRL) DRDO Hyderabad
Senior Research Fellow (SRF)-AI/ML Division
March 1, 2025 – Present
Hyderābād, Telangana, India
Defence Electronic Research Laboratory (DLRL) DRDO Hyderabad
Junior Research Fellow (JRF) -Artificial Intelligence Division
March 1, 2023 – February 28, 2025
Hyderābād, Telangana, India
Model Finishing School (IHRD) Trivandrum
Guest Lecture in Computer Science
November 24, 2021 – November 30, 2022
Thiruvananthapuram, Kerala, India
Intriad Innovation Pvt Ltd, Technopark, Trivandrum
Technical Operational Executive
March 1, 2020 – October 31, 2021
Thiruvananthapuram, Kerala, India
Face Detection and Recognition System
June 1, 2026 – Present
Developed a face detection and recognition system using Python and OpenCV for automated facial identification. Implemented image preprocessing, feature extraction, and model training techniques for accurate face recognition. Designed a workflow for detecting multiple faces from image inputs and identifying individuals in real time.
Retrieval-Augmented Generation (RAG) Based AI System for Defence Document Analysis
June 1, 2026 – Present
Developed a RAG-based AI system for intelligent retrieval and analysis of defence-related documents using large language models and semantic search techniques. Implemented document preprocessing, embedding generation, and vector database integration for efficient retrieval of relevant information from large datasets. Utilized LangChain, FAISS, ChromaDB, and Hugging Face to build the retrieval and response generation pipeline. Improved contextual response accuracy and information accessibility for defence document analysis applications.
Cultural Fit Analysis
The candidate's background in defense research (DRDO) and academic lecturing demonstrates adaptability across different professional environments. The projects showcase a focus on practical, impactful AI applications, which aligns with a results-driven culture. The breadth of skills and technologies used in projects (computer vision, NLP, generative AI) indicates a willingness to learn and apply diverse approaches, suggesting a good cultural fit for an innovative AI engineering team.
Soft Skills & Operational Fit
The candidate's experience as a Senior Research Fellow and Junior Research Fellow at DRDO suggests strong analytical, problem-solving, and research skills. The role also implies an ability to work in structured, goal-oriented environments and potentially guide junior team members. Previous experience as a Guest Lecturer indicates communication and mentorship abilities. Project management and coordination skills from a Technical Operational Executive role suggest organizational capabilities.