Designed and built systems to decode and process neural data streams, including handling data corruption, gap recovery, and validation with robust test coverage

Primary owner of the IOM R&D application used in EONM patient cases, supporting real-time visualization and interaction with neural data

Developed high-performance desktop applications using C++ and Qt/QML, integrating UI layers with low-level hardware communication and OS services

Led UI architecture and served as the resident UI expert, building a reusable component library that improved development velocity and ensured design consistency

Collaborated cross-functionally with ML, firmware, product, and design teams to integrate hardware data into visualization tools and ML data pipelines

Supported live patient cases, troubleshooting real-time issues, maintaining system reliability, and ensuring accurate data flow through clinical workflows

Built a BCI-driven interactive application (Pong) using Godot to demonstrate and test brain-controlled inputs in clinical environments

Mentored engineers and influenced engineering practices, including improved documentation standards and adoption of structured development workflows

Built a web-based application to visualize and manage global data center assets, including existing, planned, and leased infrastructure across regions

Designed UI systems to surface complex data such as capacity planning, infrastructure expansion, and retrofitting efforts

Developed a new web application to model and solve optimization problems, replacing manual Excel-based workflows with scalable, programmatic solutions

Collaborated with cross-functional teams (product, engineering, operations) to deliver tools used in strategic infrastructure decision-making

Contributed to multiple internal applications supporting data center planning and operational efficiency

Designed and operated distributed systems handling 5–10k requests per minute, with sustained spikes up to 50k RPM

Built scalable, event-driven services on top of a platform processing thousands of events per second

Ensured system reliability under high-load scenarios such as global events (elections, World Cup, etc.)

Architected services to scale horizontally and handle burst traffic without degradation

Drove technical design and implementation across multiple services in a high-availability environment

Led and contributed to backend services using Scala and Kafka in a high-scale, distributed environment

Played a key role in systems later transitioned into full-time ownership

Managed execution, delivery timelines, and cross-functional collaboration