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AI Research Engineer with 1+ years in AI/ML & Cryptography
Dedicated and motivated postgraduate student with experience in AI/ML, Deep Learning, NLP, cryptography, and software development. Skilled in Python, Java, JavaScript, HTML, CSS, MySQL, and data analysis tools including Tableau and Power BI. Experienced in developing privacy-preserving protocols using Secure Multi-Party Computation (MPC) and building healthcare NLP applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Named Entity Recognition (NER). Possess strong problem-solving and analytical skills with a keen interest in machine learning research, data-driven solutions, and innovative technologies.
Central University of Tamil Nadu
Masters of Science (M.Sc) · Computer Science
August 1, 2024 – June 30, 2026
Kannur University – EKNM Govt. Collage Elerithattu Kasargod
Bachelor of Science (B.Sc) · Physics
August 1, 2019 – June 30, 2022
Rajahs Higher Secondary School Nileshwar
Higher Secondary Education · Biology Science
June 1, 2017 – May 31, 2019
Indian Institute of Technology Madras
Cryptography Intern
January 1, 2026 – Present
India
National Institute of Technology Karnataka (NITK), Surathkal
NLP Intern
June 1, 2025 – July 1, 2025
India
Luminar Technolab
BIG DATA - Data Science Intern
August 1, 2022 – August 1, 2023
India
Privacy-Preserving Random Element Selection using MPC
June 24, 2026 – Present
Developed secure protocols using PSI, OT, and secret sharing techniques with Python-based implementation.
Credit Card Default Prediction
June 24, 2026 – Present
Applied machine learning models and data analysis techniques to predict customer credit card default payments.
Deep Learning Projects
June 24, 2026 – Present
Developed basic Face Detection, Eye Detection, and Helmet Detection systems using Python and OpenCV.
Web Development Projects
June 24, 2026 – Present
Created responsive webpages using HTML, CSS, and JavaScript.
COVID-19 Dashboard Development
June 24, 2026 – Present
Created interactive dashboards for COVID-19 data visualization and analysis.
Layman Summarization of Radiology Reports using LLMs
June 24, 2026 – Present
Built an NLP framework using RAG, NER, LLaMA-3, Zephyr, and ChromaDB for patient-friendly report generation.
Travelling Salesman Problem using Cuttlefish Algorithm (CFA)
June 24, 2026 – Present
Implemented optimization techniques for shortest path computation.
AI Health Risk Prediction System
June 24, 2026 – Present
Built Python-based web app with custom ML model for health risk prediction using Streamlit, SQLite, and full CRUD operations.
Cultural Fit Analysis
The candidate's academic background and diverse range of projects (privacy-preserving AI, healthcare NLP, general ML, web development) demonstrate a broad interest in technology and a willingness to explore different domains. This aligns well with a research-oriented role that often requires adaptability and curiosity. The focus on cutting-edge areas like LLMs and MPC also suggests an innovative and forward-thinking approach, which is a good cultural fit for an AI research position. However, the experience is predominantly academic, and exposure to industry-specific challenges or fast-paced commercial environments is limited.
Soft Skills & Operational Fit
The candidate's project descriptions and internship roles suggest strong problem-solving and analytical skills. The academic nature of most projects and the current enrollment in a Master's program indicate a continuous learning mindset. Collaboration is implied through project work and internship descriptions, but direct evidence of team collaboration or stress handling is not explicitly detailed.