• Architected and implemented a USB communication stack for real-time neural device interaction, including command/control protocols and high-throughput data streaming

• 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

• Developed internal platforms supporting global data center planning and infrastructure management

• 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

• Led development of policy enforcement tools and services within Twitter’s Health organization

• 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

• Contracted as a senior engineer supporting Twitter’s policy enforcement platform

• 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

• Led engineering teams across Pro (B2B) and Consumer (B2C) platforms, delivering user-facing features and backend services

• Managed execution, delivery timelines, and cross-functional collaboration