Kalash Chandak

Python, SQL, XGBoost, PyTorch/scikit-learn, LangChain, React, Three.js, Supabase. Comfortable across the ML pipeline — from model training to shipping the actual product around it.

Deepening LLM/agent architectures & quant finance modeling. Currently building portfolio risk engine (Monte Carlo methods) and exploring fine-tuning vs. prompting tradeoffs for domain-specific tasks.

Meridian — an India-focused AI financial research platform (portfolio optimization, risk engine, backtesting). Also maintaining Vantage, an open-source AI usage/cost tracker.

Data Science / ML Engineering / Gen AI roles, hackathon teammates, and chats about fintech, LLM tooling, or Indian markets. Say hey if you're building something similar.