Summary
Neha Doiphode is a Senior Software Engineer with nine years of experience building low-latency, hardware-integrated software for complex multi-processor and distributed control systems. Trained at the University of Pune and San Diego State (with a formative stint at IIT Bombay and current ties to UPenn), she has deep C/C++ expertise complemented by Java, Python, and systems-level tooling across Linux and virtualization platforms. At ASML and previously Cymer she developed real-time control and communication software over protocols like TCP/IP, EtherCAT and Profinet, and has hands-on experience with device drivers and timing-sensitive algorithms. Her background spans both product R&D and test automation, including automation tooling work at Accenture and a clock-synchronization research internship at Symantec that pushed timing precision toward nanoseconds. Based in Philadelphia, she’s increasingly focused on computer vision, deep learning and biomedical IP—bringing a hardware-aware systems perspective to ML-enabled problems. Notably, she pairs practical embedded systems skills with an interest in translating advanced research into robust, production-ready software.
9 years of coding experience
4 years of employment as a software developer
Savitribai Phule Pune University
San Diego State University