Extended a Python compute-graph framework with C++ bindings (nanobind), adding cycle detection, benchmarking, GDB debugging, and improved Python typing; achieved 2–20x speedup on graph operations
Built a fault-tolerant intraday fill ingestion pipeline over TCP websocket with SOD-replay-based restart recovery, ensuring consistent live position state across disconnects
Extended a real-time pricing and execution-parameter engine to support China markets, integrating market data, trader signals, position/locate feeds, and static reference data; also supported feature requests from crypto and long-short rebalancing desks
Built a Hyperliquid liquidation monitor (Dash + Redis) tracking ~20k wallets with distance-to-liquidation metrics + liquidation heatmaps
Built an internal Slack support bot using the Claude agent SDK with semantic search over 8 codebases, auto-generated Bloomberg field knowledge, and MCP-gated access to live logs and data streams
Reduced CI build times by ~20% via build-environment caching and compression tuning
Aug 2024 – Sep 2025
Cyber Security Engineer
DSO National Laboratories
Full-time
Low-level modifications of QEMU/KVM source code to support Intel Processor Trace and other functionalities
Developed a Ghidra plugin to perform Struct and Enum recovery from disassembled code
May 2024 – Aug 2024
Quantitative Developer Intern
DRW
Internship
Parallelized and refactored several parts of a Python code base used to support Quantitative Researchers, increasing scalability and reducing latency by 30%
Found and fixed a high-latency-impact, low-reproducibility bug that occurred in production
Developed a framework for regression testing and reproducing production bugs in a semi-realistic setting
Supported other team's C++ operations, and wrote small scripts to automate processes
Jan 2024 – May 2024
Teaching Assistant
Carnegie Mellon University
Teaching
Hosted weekly Office Hours for a cohort of 80 students
Created exam and homework questions for the course
Graded homework assignments and gave personalized feedback on mistakes made
Jan 2023 – Jun 2023
Software Engineer Intern (C++)
Defence Science and Technology Agency
Internship
Improve in-house computer vision algorithms for robust detection and locating of drones in various environments
Modify open-source code to fit client use cases, integrating it with various drone hardware and the existing code base
Work on improving UI/UX for current user-facing software
Develop drone algorithms for drone-vs-drone purposes (taking down another drone using a drone)
Conduct on-the-ground experiments to determine the efficacy of different approaches
Jun 2022 – Aug 2022
Machine Learning Intern
Samsung
Internship
Developed a containerized desktop and web based visualization software
Integrated various image and voice Deepfake detection models into the software, visualizing their gradient-weighted class activation mapping, enhancing the explainability of the team's artificial intelligence products
Provided technical input on which direction the team should head in and how to improve their current solutions, which helped shape the team's decisions
Jun 2021 – Aug 2021
Machine Learning Intern
Defence Science and Technology Agency
Internship
Thoroughly tested several state-of-the-art Automatic Speech Recognition (ASR) models to verify their suitability for deployment
Implemented a containerized end-to-end ASR pipeline with detailed documentation, allowing users to easily utilize the pipeline for their needs
Deployed the completed pipeline to distributed systems using ClearML, enabling fast distributed training on large internal datasets