Machine Learning Engineering team.

• Distributed compute for time-series ML on large-scale financial data.

• Memory-Efficient Multi-Node LLM Fine-Tuning Infrastructure.

Modeling Languages team.

• High performance data analytic tools for Python modeling.

Worked with Prof. Andrew Ng and Prof. Pranav Rajpurkar on AI for Healthcare.

Published to ACM Conference on Health, Inference, and Learning: https://arxiv.org/abs/2103.09957

Portfolio Management Engineering team.

Improved analytic research framework with evaluation modules that quantify impact of new alpha model on financial portfolios (PySpark, Pandas).

Core Development team.

Restructured trading infrastructure to replay large volumes of market data and maintain the integrity of data structures required for algorithmic strategy formulation (C++).

Servo team.

Upgraded Linux desktop application to simulate the distributed computing environment of future da Vinci Surgical Systems (C++).