- As a core engineer on Facebook's Apache Spark team, I worked on scaling and optimizing Spark for advanced data analytics and machine learning workloads, enhancing its performance and reliability for efficient large-scale data processing.- Designed, developed and deployed a high-performance library (Spark Fast Transforms) for batch inference with PyTorch on Apache Spark. (Powering 15% of Infra CPU compute resources)- Collaborated with data scientists to design, implement, and optimize data pipelines.- Received highest performance rating (redefined expectations) for impactful contributions.

Reach Labs (https://reachlabs.co): industrial-scale wireless power delivery solution, Y Combinator summer 2015 batch.- Led the design and development of novel long-range phased-arrays wireless charging solutions.- Developed and implemented energy receivers with real-time power tracking.

Microsoft Dynamics team:- Responsible for the release of Microsoft Dynamics NAV.- Streamlined development processes, enhancing productivity and project visibility for the Microsoft Dynamics NAV team (90 developers).- Developed comprehensive reporting and visualization tools, enhancing transparency and efficiency in agile development tracking.

- Analyzed the implementation of a biological computational model for performance optimization.- Developed interactive interfaces for scientists to create, simulate and visualize patients' models.- Implemented applications on SAP HANA (in-memory database)

- Developed sherlock, a policy-aware tool for network packets capturing on Windows servers.- Deployed sherlock on the internal Akamai network targeting over 15,000 servers.- Conducted analysis on the reliability of network interface controllers on Akamai's Windows servers.