Engineering experience in software, systems, and semiconductors.

Graduate Research and Teaching Assistant, Brandeis University

My work centers on artificial intelligence, PyTorch, and leadership. I support Generative AI Foundations for Business, contribute to applied research, and help students translate technical concepts into practical work.

• Artificial intelligence research and applied evaluation
• PyTorch workflows for experimentation and model development
• Teaching, mentoring, and technical leadership

Software Engineer at NeuroBlade

At NeuroBlade in Tel Aviv, I integrated distributed data systems and hardware accelerators. I developed diagnostics across PCIe, NVMe, network switches, and FPGAs, and built benchmarking and observability workflows.

• Python diagnostics for FPGA blocks
• Linux kernel driver and C user application
• Spark and Presto accelerator benchmarks improving from 0.8x to 4x versus baseline CPU execution
• Cross-team integration across distributed data systems, cutting integration time by over 50% and increasing automated test coverage by over 1,000%
• Grafana, Prometheus, MySQL, and InfluxDB observability
• Jenkins and Debian release pipelines, Kubernetes clusters, and AWS EC2 and S3

Freelance Software Developer in Beijing

I built production Flask, Python, and SQL services for SoC products. For image and motion detection, I applied TensorFlow Lite models using OpenCV.

System Engineer and Resident Engineer at KLA

At Orbotech, now part of KLA, I worked on Micro-LED system integration, sensor fusion, optics, motion algorithms, software, and mechanical components. I collaborated with teams and customers in Cupertino, Shanghai, Beijing, and Israel.

• Optical imaging research using Python and MATLAB
• System integration across hardware and software
• Defect detection accuracy below 0.5 micron
• Cross-border coordination between R&D and field teams

Teaching and instruction

Earlier roles included sailing instruction, officer training, and teaching mathematics and English.