Image Processing, C, Python, computer vision algorithms

Perl, Linux Operating System, Ruby, Python, Silicon power integrity, Analyzers, Oscilloscopes, System level power management

Typescript, Python, LLMs, self-hosting using vLLM SGLang, harness engineering, on-device deployment, Claude Code, Toolmaxxing, agentic patterns, applied machine learning

Java, C, Perl, Python, Teradyne test platforms, Cadence, MBIST, Mentor, Dft, ATPG, EDA Tools, Advantest 93k, Scan, Synopsys

object detection , Cuda, Deep Learning, Python, Computer Vision, Parameter-efficient Fine-tuning, Supervised Fine-tuning, simd, Siamese Networks, reinforcement learning, CNN-based Classification, Keypoint Detection, anomaly detection, Instance Segmentation, Meta-learning, Transformers, Semantic Segmentation, Graph Neural Networks, Foundation-model Feature Adaptation, VLM Principles