Distributed Systems, MLOps principles and practices, Performance profiling and optimization techniques for Deep Neural Networks

wafer thinning, JMP data analysis, DOE matrix design, Spc, Grinding, Process Optimization, wafer dicing, laser stealth dicing

Pytorch, RISC-V ISA, MLIR, TVM, neural network architectures, ML compilers, TensorFlow Lite, ONNX Runtime, on-device inference toolchain development, AI ML algorithms, quantization, model optimization

Linux Development, Rust, C, Openvpn, Performance Tuning, Network Topologies, Lightway, performance optimization, WireGuard

Scripting, Statistics and data analysis tools, Verilog simulations, Circuit debug, CAD Tools, Manufacturing test flow development, Electrical and Electronics Engineering, Test coverage optimization

Data Analysis, Axcelis AMAT implant tools, four-point probe, beam and implant parameter optimization, Fmea, contamination control, process integration, Spc, sheet resistance measurement, particle monitoring, FDC Fault Detection Control, process tuning, metrology and analytical tools, ellipsometry, troubleshooting and process correction, machine matching qualification, Doe, yield improvement, defect analysis, sims, root cause investigation, ion implantation tools and processes

Embedded Linux, Git, Embedded C, Verilog, Scripting, Python, Version Control, Jira, Perl, Arm, Tcl, Statistical Analysis, FPGA flows, RISC-V, outlier detection, VHDL, EDA Tools, AMD, Doe, Assembly, Synthesis, Test, Emulation, SoC IP validation, systemverilog, Regression, Vivado, Timing Closure, issue tracking, confidence intervals, characterization, Xilinx

Systems Programming, Rust, Consensus validator interaction, Integration with oracles, Performance optimization, Blockchain client logic, State transition logic, Transaction processing pipelines, P2P networking, Order book matching engine