Vatsal Sharma
/ˈvʌt.səl/ • he/him
Quantitative Researcher | AI Engineer | Data Scientist | Developer
I transform market noise into actionable signals, build machine learning models that adapt and outperform, and engineer automated systems designed to run flawlessly under pressure.
Currently a Quantitative Researcher at a technology-focused hedge fund, where I develop proprietary trading strategies and AI-powered analytics. Outside the fund, I explore autonomous agents and next-generation quantitative systems.
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Skills & Technologies
Production-grade tools, systems, and mathematical frameworks powering quantitative research, market microstructure, and algorithmic trading systems.
Financial Markets
View All Markets →Real-time market data and interactive charts
S&P 500 Heatmap
Day's change by market capitalization
Recent Posts
Services I Provide
Production-grade engineering across quantitative finance, AI systems, machine learning pipelines, and distributed architecture.
Quant Work & Algorithmic Trading
End-to-end development of proprietary trading algorithms, high-speed execution engines, tick-level backtesting frameworks, smart order routing (SOR), and automated risk control switches.
AI Integrations & Agentic Workflows
Replacing manual operational workflows with production-grade AI agents. Building RAG retrieval pipelines, Model Context Protocol (MCP) integrations, and autonomous market research tools.
Data Science & Machine Learning
Designing predictive financial models, microstructure feature engineering, volatility clustering, NLP sentiment extraction from earnings calls, and custom CUDA-accelerated ML pipelines.
System Design & Architecture
Architecting fault-tolerant microservice backbones, low-latency WebSocket market telemetry, high-throughput database schemas, and microsecond-optimized cloud/hybrid infrastructure.
Industries We Work With
Specialized engineering for high-stakes domains where low latency, financial security, and model accuracy matter most.
Quantitative & Hedge Funds
Building custom trading engines, tick-level backtesters, automated execution algorithms, and gateway kill switches for quantitative desks.
Enterprise AI & SaaS
Replacing legacy manual processes with production AI agents, structured database retrieval (RAG), and Model Context Protocol (MCP) tooling.
FinTech & Trading Platforms
Scaling streaming WebSocket feeds, FIX protocol exchange gateways, and high-throughput order management systems for active trading platforms.
Why Work With Me
Three core principles guaranteed across every system build and technical advisory engagement.
Direct Senior Technical Contact
No account managers, sales reps, or junior proxies. The senior engineer who scopes your architecture is the same person building and deploying your production codebase.
Production Software Shipped in Weeks
We move at modern AI-tooling speed. Working software is deployed directly to your environment within weeks through structured sprints and weekly live demos.
100% Code & IP Ownership
Everything we build lives directly in your repository from day one. Fixed scope, complete documentation, zero vendor lock-in, and zero recurring license fees.
Ongoing Maintenance & System Support
Post-launch software monitoring, SLA-backed maintenance, bug fixes, and continuous model/pipeline upgrades so your infrastructure stays operational 24/7 under live market conditions.
Journey
From engineering foundations to quantitative finance & AI research.
2026
2026
Quantitative Researcher & AI Engineer — Hedge Fund
Designing and building proprietary quantitative trading systems at a tech-focused hedge fund. Automating trading strategies, analyzing market data across equities, options, and crypto, and driving portfolio performance through cutting-edge AI/ML models.
2025
2025
MS in Data Science (AI Specialization) — Northeastern University
Graduated with a specialization in Artificial Intelligence. Coursework spanning statistical machine learning, deep learning, NLP, reinforcement learning, and large-scale data engineering. Built and published a custom Portfolio Management System streamlining operations across hundreds of accounts.
2023
2023
Blockchain Systems & Published Research
Built scalable blockchain systems including an e-wallet project that led to a published technical paper on concurrency control. Explored distributed consensus mechanisms, cryptographic protocols, and high-throughput transaction processing architectures.
2021
2021
BEng in Information Technology — Manipal University
Completed undergraduate studies in Information Technology with a strong foundation in algorithms, data structures, database systems, and software engineering. Early explorations into quantitative methods and financial markets that would shape the career trajectory ahead.
Laboratory
Personal explorations, tools, and digital artifacts.
Let's talk infrastructure
Into quantitative trading, AI agents, machine learning at scale, or rock-solid systems?
I design, secure, and automate infrastructure and models that deliver alpha — reliably and at speed.
24/7 Global Market Flow
Real-time market session telemetry across major financial hubs