Curriculum Vitae
Education
M.A.M School of Engineering
Aug 2023 – May 2027Relevant coursework: Data Structures & Algorithms, Linear Algebra, Calculus, Probability & Statistics, Artificial Intelligence, DBMS.
Experience
HeyCloudy — AI / Machine Learning Intern
Jun 2025 – Jul 2025- Designed an LLM adaptive learning loop using RAG and a vector-based recommendation engine to dynamically generate topic-tailored questions.
- Built a multimodal question-solving pipeline using the Gemini API to turn image and text queries into step-by-step solutions.
- Engineered a student performance analytics system on Firebase — automated diagnostic reports and weak-topic identification.
Selected Projects
Super-Resolution on Real Telescope Data
EDSR network on HSC/HST imagery; PSNR 23.58 → 35.65 dB, SSIM 0.37 → 0.89, trained under a 300-image constraint with tailored augmentations.
SVD Engine from Scratch
Custom eigen decomposition and matrix deflation; applied to image compression, LSA, and collaborative filtering.
Desktop Automation Agent
Voice-controlled agent with LLM task planning, IMAP email automation, and robust error handling. 1st prize, SRM SenthanAI Hackathon 2025.
Achievements
- Kaggle Notebooks Expert — reproducible, competition-ready ML notebooks.
- Winner (1st prize) — SRM SenthanAI Hackathon 2025.
- Finalist — GDG Chennai Hackfest ’26 (Carbon Footprint Optimization Engine).
Technical Skills
- Languages
- Python, SQL, C
- ML frameworks
- PyTorch, Hugging Face, Scikit-learn, Optuna, Pandas, NumPy, Matplotlib, Seaborn
- Domains
- LLMs, RAG, Transformers, Diffusion Models,Vision-Language Models (VLMs), Reinforcement Learning, Self-Supervised Learning (JEPA)
- Infrastructure & MLOps
- Git, Docker, Linux, Google Cloud, Weights & Biases