• Constructed Python, C++, and Go strategy containers and trading bots supporting crypto, futures, equities, and options trading; implemented pre-trade risk controls, handling of multiple symbologies, fee and financing attribution, risk/PnL/position React dashboards backed by PostgreSQL, and hourly fill/position reconciliation against Point72 back-office systems.

• Developed stream-based DMA and order netting algorithms that minimized trading costs for futures and options carry strategies and allowed signals with disparate holding periods and aggressiveness to execute within the same trading area.

• Engineered C++ L2 live and historical data pipelines, providing liquidity insights that accelerated creation of 5+ new alphas and powered smart order routers that increased trading returns by 5%.

• Replaced unstable AWS MWAA with self-hosted Apache Airflow using deferrable operators to reduce worker demand; halved infrastructure costs and improved scheduler and DAG processing latency, webserver responsiveness, and system availability.

• Created shared runtime environments distributed via NFS/AWS EFS and formalized after-hours application rollback procedures to maintain 24/5 system uptime. Environments were created via Github Actions and Jenkins SDLC pipelines.

• Eliminated inconsistent research workflows by defining and implementing backtest methodologies that standardized individual researchers’ preferences; wrote unified React UIs for signal evaluation and portfolio manager weight allocation.

• Served as primary liaison between CCAG and Point72 infrastructure/back-office; coordinated trading limits with Risk and Compliance and led crisis response during data, broker, and internal system and service outages.

• Pioneered a performant KDB in-memory HDB pre-caching API that accelerated slow on-disk retrievals 60x, enabling real-time integration of ad-hoc historical queries into trading, alerting, and metrics systems without cold reads; API was benchmarked against production datasets and demoed to the Head of Execution Services Technology.

• Built KDB complex enrichment processors and C++ data feedhandlers that enhanced exchange/order visibility and migrated legacy C++ data transformers to a high-performance KDB architecture.

• Composed a first-authored publication accepted for HICSS-56 proceedings discussing applications of Bayesian networks (BNs) in cybersecurity-attack detection, improving statistical robustness metrics by over 15% on imbalanced red-team cybersecurity datasets through methods in BN feature selection, random forest MDI discretization, and structural learning.

• Designed a scikit-learn-compatible extension library that cut manual BN workflows by 90% and enabled BN integrations into existing ML pipelines, with adoption across multiple Sandia labs and projects.

• Established project scopes with Atlassian product managers; set up developer sprints, onboarding projects, CI/CD pipelines, and code review workflows; and led implementation of a novel feedback-tracking application within Atlassian Compass.

• Expanded the issue-tracking service to include an NLP-based text similarity microservice, hosted on AWS EC2 and RDS.

• Reformed semester recruitment processes of over 100 applicants via detailed recruitment timelines and member accountability measures, and decreased deliberation man-hours by over 50% through the creation of objective score-based assessment tools.

• Organized UC Berkeley “Cal Intro to Tech,” a joint recruitment drive for nine student tech organizations with over 200 attendees.

• Led planning of inter-organization networking and publicity events, including speaker events by LinkedIn managers.