Projects
Vein Visualizer Master's Thesis
Real-time near-infrared vein-segmentation system for a low-cost, portable IV-access assist device — targeting under ₹50,000 versus ₹500,000+ commercial vein finders, with a screen-overlay design that needs no calibration. Built on DeepLabV3+ with a MobileNetV3-Large backbone and an attention-gated decoder, benchmarked against 3 other architectures over 50 epochs. Reached the best validation score at roughly 1/6th the parameters of an Attention U-Net baseline, scored on IOT (Intersection-over-Target) — a task-specific coverage metric I defined because standard IoU over-penalises thin-line vein annotations for small width mismatches — reaching 0.78 IOT.
Supervisor: Prof. Hardik J. Pandya, IISc | Duration: Oct 2024 – Apr 2025
Yeast Connectome — Knowledge Graph Bachelor's Thesis
An LLM pipeline that mined 84,427 publication abstracts to construct a yeast knowledge graph of 3.4M+ entities and several hundred thousand typed interactions across S. cerevisiae and S. pombe. Designed the extraction prompts, entity/relation schema and validation strategy. Published as first author in the Journal of Molecular Biology (2025).
Supervisor: Prof. Marek Mutwil, NTU Singapore | Duration: Aug – Dec 2023
Visual Taxonomy — Product Attribute Prediction
Meesho Data Science Challenge (Kaggle). Predicted product attributes — colour, pattern, sleeve length — from catalog images using an EfficientNet-based model with a custom linear classifier and image augmentation, achieving F1 = 0.735. Reduces manual cataloguing time and improves catalog accuracy at e-commerce scale.
Retrieval-Augmented Generation (RAG) Pipeline
A local-first RAG system over academic PDFs: Qdrant vector database, llama.cpp for local inference, and Sentence-Transformer embeddings — deployed as the chatbot backing this website. Demonstrates privacy-preserving, on-prem LLM deployment, relevant anywhere data can't leave the perimeter.
Computational Genomics — eQTL Discovery
Research internship at the Centre for Brain Research (CBRAIN), IISc, under Prof. Shweta Ramdas. Analysed gene-expression data from smokers and non-smokers to discover novel expression quantitative trait loci (eQTLs), building a variant-calling and association pipeline with QTLtools and BCFtools over large genotype–expression datasets.
Image Classification & Segmentation — ResNet + U-Net
End-to-end TensorFlow pipeline for binary image classification (ResNet feature extraction) and semantic segmentation (U-Net), with a custom-dataset preprocessing pipeline and evaluation via accuracy and Dice score.
Object Detector for the Visually Impaired
Portable assistive device pairing an ESP32-CAM with an ultrasonic sensor for object detection and distance estimation, with voice feedback delivered through a companion Kivy mobile app.
Algorithmic Intraday Options Trading Bot
Automated intraday trading bot on the Upstox API using a 14-day moving-average strategy for trade decisions, with real-time execution and backtested validation.
LSTM-Based Stock Price Prediction
Time-series forecasting with an LSTM network: preprocessing and scaling of historical stock data, followed by a sequential architecture designed to capture temporal dependencies and forecast price movements.