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TubeMetrics.io
AI-powered YouTube analytics product built from concept to production. Advanced prompt engineering, algorithm pipelines, and measurable outcomes.
Visit Product →
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CatchDiff.com
PDF comparison SaaS with smart page matching (cosine similarity), character-level diffs, side-by-side viewer, OCR support. Solves false-difference problems competitors can't.
Visit CatchDiff →
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DBC Compare Tool
Open-source Python tool for comparing CAN DBC database files. Color-coded Excel/HTML/PDF reports, 37 attributes per side, GUI + CLI. Built for automotive ECU workflows.
View on GitHub →
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Robotaxi Demo Prototype
Led zero-to-launch robotaxi demo in 6 months as Chief Engineer. AI integration into EV SUV with full safety protocols and KPI framework.
75% faster than industry standard
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TLS/DoIP Cybersecurity Architecture
Dual-port DoIP server (TDA4VM, C), mTLS 1.3 implementation guidelines and integration documentation. DID/RID classification across all ADAS ECUs. ISO 21434/UN R155 aligned.
Implementation guidelines & policy
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Global Homologation (8+ Markets)
Drove ADAS homologation across EU, US, VN, CAN, Israel, and Middle East. WVTA Type Approval, Euro NCAP 100%.
Multiple platforms, 8+ global markets
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AI Education (YouTube)
YouTube channel teaching AI concepts, prompt engineering, and model evaluation. Translating complex technical topics into accessible content.
Watch Channel →
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Autonomous Robot Crawler (MVP)
Built MVP with AI navigation in 2 months. Secured startup's first seed funding round, demonstrating technical feasibility to investors.
Seed funding secured
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K-12 Education AI — Research Contribution
Independent research study exploring AI-powered student success concepts: math feedback, mastery mapping, teacher copilot, and predictive risk scoring. NOT affiliated with Edia; research purpose only.
View Research Prototype →
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16-Passenger Autonomous EV Shuttle
Built from scratch in 2 months with 30-member team. Integrated 1st 55" ScreenTelematic HMI. LiDAR, Radar, Camera, Ultrasonic sensor stack validated.
2-month build, full demo
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End-to-End Self-Driving (Columbus AI)
Python, CNN, TensorFlow on NVIDIA Drive PX2 (NVIDIA Inception Partner). Sensor fusion AEB with real-time ML inference. Steering, throttle, brake control.
Watch Demos on YouTube →
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2021 Acura TLX — Dynamic Driving Personalization
Led the first Global Honda/Acura Integrated Dynamics System with Individual Mode (Comfort, Normal, Sport, Sport+). Agile product management with 100+ cross-functional members. Earned Honda's President Award.
President Award winner
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2017 Acura NSX — Supercar Co-Development
Co-developed with Japan Honda. Led spec development for Shift by Wire (SBW) and Integrated Dynamic System (IDS). Mentored junior engineers and technicians on supercar platform.
Japan co-development
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1st HILS at Honda R&D Americas
Pioneered Hardware-in-the-Loop Simulation using dSPACE. 35%+ improvement in development efficiency testing Matlab Model-based CAN, ECU, powertrain, chassis, and ADAS functions.
35% dev efficiency gain
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Open Source: CAN-Autoware (ROS/C++)
Contributed to Autoware self-driving middleware. Developed ROS CAN node in C++ for integration testing with LiDAR, cameras, GNSS, vector maps, and point cloud mapping. Cooperation with Tier IV.
View on GitHub →
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Formula SAE — Traction Control System
Electrical Section Captain at LSU. Designed PCB (Eagle CAD), programmed ARM STM32 via JTAG, built wireless telemetry UI in C#/Visual Studio for real-time race data monitoring.
Full PCB design & firmware