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Atharva Lanke

@atharvalanke

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I build low-latency trading, backend, and AI/ML systems for real-time financial analytics.

India

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What I'm looking for

I'm seeking internships in backend engineering, systems development, quantitative research, ML infrastructure, or high-frequency trading, where I can build low-latency systems, real-time data pipelines, and AI/ML-driven trading applications.

I've built institutional-style quantitative systems including a stress testing engine, systematic fund simulator, and low-latency order router for real-time market execution.

My stress testing engine integrates QuantLib C++ for sub-millisecond portfolio computation and evaluates Basel III and CCAR-style risk scenarios using VaR, Expected Shortfall, Monte Carlo simulation, and multi-factor stress tests. My order router uses a C hot path targeting under 100 microseconds and achieved 0.55 bps VWAP savings per trade across 14,985 real market windows.

I also built TradeVault, a full-stack application with an Express/Node.js backend, Python ML engine, WebSocket event pipelines, JWT/bcrypt authentication, backtesting, and analytics for 20+ KPIs.

I'm a CSE undergraduate pursuing backend engineering, systems development, ML infrastructure, quantitative research, and performance-critical trading applications.

Experience

Work history, roles, and key accomplishments

Backend Systems Engineer

Self Employed

Developed high-performance backend systems and quantitative trading tools, including a low-latency order router and a multi-agent fund simulator, with expertise in real-time data pipelines and reinforcement learning integration.