CV

Contact Information

Name Wai Yan Nyein Naing
Professional Title Senior AI Engineer / Senior Research Scientist
Email waiyan.nn18@gmail.com
Location Mount Prospect, Illinois

Professional Summary

Senior AI Engineer / Senior Research Scientist (Ph.D.) with 8+ years of experience building and deploying production-grade agentic AI systems in safety- and compliance-critical environments. Led large-scale AI platforms including Bosch Super Technician, Ask Bosch, and enterprise risk intelligence systems.

Experience

  • 2022 - Present

    Chicago, USA

    Senior Artificial Intelligence Architect
    Robert Bosch LLC
    Led multi-agent AI architecture, resulting in large-scale deployments like “Super Technician” and “Ask Bosch”.
    • Project 1 (Super Technician): Built an agentic GenAI system with multimodal understanding (text, voice, on-screen actions) to automate complex vehicle camera calibration workflows end-to-end. Launched pilot for Toyota (2024), demonstrated at CES 2025 (~50% task automation). Lead inventor on two US patents (projected $30M cost savings).
    • Project 2 (Ask Bosch): Led architecture of an enterprise LLM-powered RAG solution for search across legal, manufacturing, SAP, and HR systems, used by 400k+ employees. Integrated state-of-the-art LLMs with private cloud and AI safety guardrails.
    • Project 3 (TTL - Enterprise Risk Intelligence): Led a multi-agent, knowledge-graph-driven AI platform to assess product-launch readiness and risk from enterprise data. Piloted in NA with projected ~$2M/year savings. US patent filed.
  • 2018 - 2022

    Singapore

    Senior Research Scientist
    Robert Bosch Pte Ltd
    Specialized in AI and sensor fusion for robotics, automation, and computer vision.
    • Project 4 (Waste Sorting): Designed a sensor-fusion deep learning system (RGB + terahertz) to classify recyclable waste, enabling a 20% accuracy improvement. Inventor on six patents.
    • Project 5 (Aqua Easy): Developed an early disease detection system for shrimp aquaculture and mobile computer vision solution. Technology commercialized as a Bosch-invested startup. Co-inventor on EP patent.
    • Project 6 (Airport FOD Detection): Developed an AI-based long-range vision system to detect ~5cm foreign objects at 250-300m, achieving ~10x cost savings over radar. Lead inventor on patent.

Education

  • - 2020

    Malaysia

    Ph.D. in Engineering
    International Islamic University Malaysia (IIUM)
    Artificial Intelligence
    • Thesis: Federated deep learning for intelligent glass-break detection systems.
  • - 2014

    Malaysia

    M.Sc. in Mechatronic Engineering
    International Islamic University Malaysia (IIUM)
    Artificial Intelligence
    • Thesis: Pulmonary Nodule Detection from Chest-Xray using Histogram of Gradient Descriptor with Auto-encoder

Publications

  • 2019
    Real-Time End-to-End Intelligent Glass-Break Detection Using Deep Learning
    International Journal of Advanced and Applied Sciences
  • 2019
    Glass-Break Detection Using Deep Neural Networks and Acoustic Features

Patents

Skills

AI Architecture (Expert): LLMs, Multi-Agent Systems, GenAI powered Knowledge Graph, Agentic RAG, MCP (Model Context Protocol), A2A (Agent to Agent Protocol)
Machine Learning & Computer Vision (Expert): Deep CNN, Object Recognition, Tracking, Segmentation, Representation Learning, Signal Processing, 2D/3D Image Segmentation, Depth Estimation, GANs, Super Resolution
Frameworks & Engineering (Advanced): React (Reasoning Action Agent), Azure AI Search, Vertex AI