Research-led systems
for business impact.
I build quantitative research frameworks, ML pipelines, and data automation systems that work in production — not just in notebooks.
IIT Bombay · NK Securities · Mastertrust · GoGlocal · Blue Yonder · ANZ Bank · NUS · DTU Copenhagen
What I Do
Five focused areas — each built on real production experience.
Quantitative Research & Strategy Development
Systematic strategies that hold up out-of-sample.
I research and build systematic strategies for options, futures, and crypto markets.
Learn more →ML & Forecasting Systems
Models that run in production, not just in notebooks.
I build prediction systems that close the gap between research and production.
Learn more →Data Automation & Analytics
Eliminate the manual work that's slowing your team down.
I automate the workflows that free your team from manual data processing.
Learn more →Research-to-Production Consulting
Your research is done. Now make it run.
I take your research proof-of-concept and convert it into a production-grade system.
Learn more →Technical Advisory & Problem Framing
Solve the right problem before you build the wrong system.
I help you frame the right problem, design the right system, and avoid the expensive mistakes.
Learn more →Selected Work
Deep-dive case studies with real numbers.
Building a Systematic Options Backtesting Framework
Investment Firm
Sharpe ratio of 4 in live index options strategies managing ₹100+ crore AUM, with full walk-forward validation and execution cost modeling.
Demand and Inventory Forecasting at Scale
Logistics & Supply Chain (SaaS)
7 production forecasting models deployed for a 15-member team processing 5TB+ supply-chain data across enterprise retail clients.
Cross-Border E-Commerce Intelligence for 1,000+ SKUs
E-Commerce Technology
50% manual effort reduction and 30% revenue estimation efficiency gain through ML-driven automation across 1,000+ SKUs on 4 marketplaces.
Career Arc
From IIT Bombay to HFT research — each step compounded the last.
Crypto HFT / MFT systematic strategy research. Execution-aware modeling, microstructure analysis, high-frequency order flow.
Sharpe 4 in systematic index options. Managed ₹100+ crore portfolio. Built backtesting frameworks, volatility surfaces, and regime detection systems.
1,000+ SKUs, cross-border e-commerce automation across Amazon, eBay, Walmart, Lazada. 50% manual effort reduction, 30% revenue efficiency gain.
15-member team, 5TB+ supply-chain data, 7 forecasting models across fulfillment, inventory, markdown, and delivery estimation.
ETL pipelines across 70+ source systems. Reduced dev and testing time by 50%. APRA regulatory compliance.
Temporal attention model for link prediction on dynamic graphs with Prof. Bryan Hooi. AUC 86% on College Messages dataset.
Writing
Technical depth — quantitative research, machine learning systems, data engineering.
The Quantitative Trading Playbook
A practitioner's guide to building systematic trading strategies that hold up out-of-sample — from signal research and backtesting discipline to execution modeling and live deployment.
Read →Feature Engineering: The Skill That Separates Good Models from Bad Ones
A practitioner's guide to feature engineering — the craft of transforming raw data into model-ready representations that capture what actually matters for the prediction task.
Read →Stack
Tools built on, not just listed.
Languages
ML & AI
Quant
Data Engineering
Cloud & Infra
Services & Tools
Get in Touch
Whether you want to collaborate, book a session, or invite me to speak
Send a Message
Have a question or want to collaborate? Drop me a message and I'll respond within a few days.
Write a MessageBook a Session
Want mentorship, career guidance, or a deep-dive on quant / ML systems? Book a 1:1 directly.
Book a SessionInvite to Speak
Hosting an event on quant finance, ML systems, or data engineering? I'd love to be part of it.