Research, shipped as working systems.

A production-level agricultural advisory system combining FastAPI, ChromaDB, and Gemini Flash in an end-to-end RAG pipeline, grounding crop-specific advice in curated agronomic sources — plus a ResNet-based multimodal disease classifier. Accepted at IEEE ICoICET-2026.

Implementation of causal counterfactual explainability methods for tabular ML models, benchmarked across multiple baselines.

Apology sincerity detection using a hybrid BERT model, supporting multilingual text (English, Hindi, Hinglish) — accepted at ICETICS 2026.

Full-stack healthcare AI agent for postpartum depression (PPD) risk prediction, combining RAG-based clinical Q&A with a predictive risk model.

Cooperative multi-agent reinforcement learning system for cloud resource scheduling, outperforming standard baseline schedulers.

A modular, swappable-backend RAG pipeline — loading, chunking, embedding, storage, and retrieval as independent pluggable stages, so switching FAISS for Chroma is a one-line change.

A single, consistent API that wraps SHAP, LIME, and Captum behind one interface — explaining or comparing all three takes one line of code instead of three code paths.

A CLI tool that quantifies how well SHAP and LIME agree on the same trained model, using rank correlation and overlap diagnostics.

A lightweight local tool for tracking academic paper submissions across conferences and journals, with one-command export to Markdown or CSV.

Keeps a personal site's publications page and BibTeX file in sync with an ORCID record automatically, runnable on a schedule via GitHub Actions.