Computer Science graduate (Amrita Vishwa Vidyapeetham) specializing in Machine Learning, Deep Learning, and applied GenAI. Built CC-LoRA, a parameter-efficient method that adapts cardiac MRI foundation models using clinical context, in collaboration with Hospital Sant Pau during an exchange program at the Universitat de Barcelona — reaching 91.0% AUC on a 4-class cardiac diagnosis task, a 17-point lift over an image-only baseline. Also builds retrieval-augmented LLM systems and data tooling, including an enterprise RAG assistant and VizGenie, an automated EDA app. Open to AI/ML and Data Science roles across India and Europe.
Languages & Querying
Machine Learning
Deep Learning & GenAI
Data Engineering
Data Analysis & Visualization
Tools & Platforms
| Title | Venue |
|---|---|
| Bridging the Emotional Gap in AI: Speech Emotion Recognition for Adaptive HCI | IEEE Xplore |
| Object Intelligence Model: Context-Aware Robotic Interaction via Object + Material Recognition | IEEE Xplore |
| A Robust Hybrid Movie Recommendation System (Clustering + KNN + Cosine Similarity) | Sigma Journal of Engineering & Natural Sciences |
| Federated Learning for Pregnancy Care: Smartwatch-Based Fetal Monitoring | Springer |
🏆 Best Paper Award — IEEE AIDE 2025 · 🏆 Best Oral Paper — ICLED-2024, Singapore
I write on Medium, explaining ML/GenAI concepts in plain language:
- Hugging Face Access Tokens, APIs, and Local vs Ollama Usage — Explained
- Understanding VGG16: A Beginner-Friendly Guide to Convolutional Neural Networks
I also write DJ's WealthLab, a publication on personal investing and financial literacy.