• Eliminated 60+ hours of weekly manual work by creating ctrl-kit, an internal EMG model prototyping tool adopted by 15+ researchers and growing (React, Python)

• Reduced manual experiment configuration time by 80% by developing a multi-source data collection framework handling 6 distinct data sources (React, Lab.js, TypeScript)

• Scaled data pipelines to process 10+ million records, optimizing infrastructure that directly improved ML model capabilities for EMG research (Python, React, C++)

• Accelerated model iteration cycles by 40% through building a visualization frontend enabling researchers to quickly identify bias and performance issues (TypeScript, D3, React)

• Reduced decision-making latency by 50% by designing scalable software solutions for exponentially growing data requirements across cross-disciplinary teams (Python, TypeScript, C++)

• Built FMS fleet management application serving 500+ autonomous vehicles with React web interface for cloud and on-premise device management (FastAPI, React)

• Contributed to Python ML codebase powering autonomous truck navigation, real-time messaging, routing, and safety systems (Pytorch, Python, OpenCV)

• Developed hardware abstraction layer creating software drivers and vendor-agnostic packages with backward compatibility for existing products (Linux, Python)

• Improved system performance and security across messaging, logging, databases, software versioning, and networking stack (Python, AWS, Ansible, Linux)

• Launched cross-platform mobile app for social audio platform ililli.co using Flutter framework (iOS, Android, Web)

• Containerized legacy applications using Docker and Terraform for cloud-ready deployment

• Implemented CI/CD pipeline using Fastlane for automated testing and deployment

• Created comprehensive documentation for developer and end-user perspectives

• Established testing framework with unit and integration tests for Ruby, Dart (Flutter), and workflow scripts