Charles Chow

About Charles Chow

As a Software and Embedded Engineer, I build end-to-end intelligent systems that connect embedded devices, robotics middleware, and scalable backend infrastructure. My work focuses on distributed systems, real-time data pipelines, and cloud-native architecture with strong emphasis on performance, reliability, and observability across the full stack.Recent highlights include: Embedded & Real-Time Systems: Architected embedded C firmware on Nordic nRF52840 for multi-channel BLE streaming at 20 Hz, reducing packet loss by over 80 percent and enabling uninterrupted multi-hour validation sessions with production-grade diagnostics. Backend & Data Infrastructure: Designed high-throughput Node.js APIs and WebSocket-based telemetry pipelines, scaling ingestion to 1.2M+ records per hour. Optimized PostgreSQL schema design, indexing strategies, and connection pooling to improve tail latency and sustain high-ingest workloads under continuous load. Robotics & Simulation: Built ROS2-based mobile robot stacks integrating Nav2, Gazebo, URDF/xacro, tf2, and structured diagnostics to support stable simulation, waypoint navigation, and reproducible debugging workflows. AI & Vision Systems: Developed real-time OpenCV and PyTorch pipelines, reducing inference latency by 75 percent through mixed precision and deploying lightweight CNN architectures optimized for scalable inference.I design systems holistically, from device firmware to cloud ingestion to monitoring dashboards. My stack includes AWS (EC2, Lambda, S3, CloudWatch), Docker, Kubernetes, Redis, CI/CD, and Linux, with focus on scalable, fault-tolerant architectures and system-level observability.I hold dual Master’s degrees in Computer Science and Electrical & Computer Engineering, grounded in Mechanical Engineering, which allows me to reason across hardware constraints, distributed systems design, and intelligent software architecture.Core Expertise:Robotics Engineering | ROS2 | Embedded Systems | C/C++| Python | Distributed Systems | Cloud Computing | AWS | Kubernetes | Docker | Backend Development | Microservices | Real-Time Systems | Computer Vision | PyTorch | OpenCV | Telemetry Systems | PostgreSQL | WebSockets | DevOps | Performance Optimization | Observability | System Design | Firmware Development | AI Applications | Scalable Infrastructure

Experience

1. Embedded & Software Engineer

   NeuroLeap Corp

   May 2025 — Present · Costa Mesa, CA, US

   As a Backend and Embedded Engineer, I design and optimize real-time data infrastructure that powers intelligent, sensor-driven platforms. I work across telemetry ingestion, database architecture, and distributed backend services with a strong focus on scalability, performance, and operational reliability- Architect high-throughput telemetry ingestion pipelines using Node.js, WebSockets, and PostgreSQL to process multi-channel sensor streams in real time- Design and tune database schemas, indexing strategies, and connection pooling to support sustained high-ingest workloads- Build production-grade APIs and backend services that interface with embedded devices and cloud-connected systems- Implement system-wide observability using structured logging and AWS CloudWatch metrics to monitor performance and diagnose issues across layersImpact- Reduced BLE-driven data loss by over 80 percent through backend-side protocol and ingestion optimizations, enabling uninterrupted 8-hour validation sessions- Scaled ingestion architecture to reliably support 1.2M+ records per hour across concurrent sensor streams

Education

• Northeastern University

  Master of Science - MS, Computer Science

• Purdue University

  Master of Science - MS, Electrical and Computer Engineering

• The Ohio State University

  Bachelor of Science - BS, Mechanical Engineering