LatencySlayerX
_
Quant Researcher @ IIT Kharagpur — low-latency C++ market-making & multi-alpha portfolio research. 9th globally, Wunder Fund HFT Challenge.
Profile Synopsis
I am an AI Engineer based in Kharagpur, West Bengal, India, currently pursuing a B.Tech at IIT Kharagpur. My expertise lies in designing and deploying Large Language Models, Quantitative Systems, and high-performance infrastructure.
I specialize in building autonomous multi-agent systems and scalable machine learning pipelines that solve complex, real-world problems.
Language Matrix
HFT Challenge
Market State Forecasting Challenge
- Secured 9th global rank, achieving 0.3920 R² on private leaderboard via uncertainty-weighted regression.
- Designed 4-layer Transformer with MAE pretraining and statistical context fusion for market state forecasting.
- Accelerated inference via torch.compile and Numba, optimizing execution latency for high-frequency trading environments.
SCHOLASTIC ACHIEVEMENTS
JEE Main 2024
Rank among 1.4M+ candidates
JEE Advanced 2024
Rank among 250K+ candidates
WBJEE 2024
Rank among 113K+ candidates
FULL PROFILE
For a complete breakdown of my work experience, publications, and deep-dive technical projects, you can access my full curriculum vitae.
5-Day AI Agents Intensive Course
Kaggle | Google
Supervised Machine Learning: Regression and Classification
DeepLearning.AI | Stanford Online
Autonomous-AI-Co-Scientist
Autonomous AI research platform implementing and extending Google's AI Co-Scientist with modular multi-agent orchestration, retrieval-augmented reasoning, long-term memory, automated evaluation, benchmarking, Docker deployment, and interactive research workflows.
IMC-Prosperity-4-Backtester
⚡ Pure-Python Backtester for IMC Prosperity 4 — Python engine with built-in PnL charts, drawdown analysis, Sharpe/Calmar metrics, and Google Colab support. Clone → overwrite trader → run.
VoRTeX
VorRTeX is an advanced, self-hostable AI Execution Engine built in Python 3.12 with FastAPI, PostgreSQL 16, Redis 7, and OpenTelemetry. Designed as a comprehensive portfolio project, Vortex explores the architecture required to build a production-ready, multi-tenant SaaS platform for orchestrating LLM workflows
ApexFlow
Low-Latency Crypto ETP Market-Making & Cross-Exchange Execution Research Platform
Multi-Alpha-Engineering-Convex-Optimization-Engine
AlphaStack is a professional-grade quantitative research framework designed to discover, combine, and optimize multi-alpha signals into market-resilient portfolios
VenueWatch
VenueWatch normalizes, measures, and statistically validates real-time order book liquidity, execution slippage, and infrastructure reliability across Binance, Coinbase, Kraken, and OKX.
Quant Research & Alpha Generation
Portfolio Construction & Risk
Market Microstructure & Market Making
Low-Latency C++ Systems
Machine Learning & Deep Learning
Software & Data Infrastructure
Training Frequency
Consistency metric // 365 Days
LET'S BUILD SOMETHING.
Open to quant research internships, ML engineering roles, and interesting research collaborations.
SEND A MESSAGE