Principal Engineer with 20+ years in Electronics Design, Embedded Firmware (C++), and Power Systems, now transitioning into High-Frequency Trading (HFT), Data Science, and Machine Learning. Strong expertise in Python, C++, SQL, and quantitative back-end development, demonstrated through an HFT internship at Go Quant. Combines deep hardware/firmware knowledge (ESP32, Arduino, EMC, Safety Compliance) with modern software engineering to build high-performance, low-latency systems.Key Strengths:Hardware & Firmware: Power Electronics, Analog/Mixed-Signal Design, High-Speed Digital, Embedded C++ (ESP32, RTOS)Software & Data: Python (ML/Data Science), C++ (HFT Back-End), SQL, Algorithm OptimizationCross-Domain Expertise: Bridging hardware (FPGA, DSP) with software (HFT, Robotics, AI/ML) for end-to-end solutionsEmerging Focus: Quantitative Finance, High-Performance Computing, and Machine Learning ApplicationsUnique Value:From Circuits to Code: Deep understanding of both hardware constraints and software efficiency, enabling optimized, real-time systems.Proven Adaptability: Leveraging decades of mission-critical electronics experience to solve complex problems in finance (HFT) and AI/ML.
