Engineering Leader · Safety-Critical ML Systems · Autonomous Vehicles · AI Safety

📍 California  |  🌐 wael.bot  |  📧 stfranciscowael@gmail.com

I'm an engineering leader with 15+ years building safety-critical ML systems at scale. My work spans autonomous vehicle perception, risk-aware model deployment, and eval-driven ML infrastructure — from L4 robotaxi fleets to ML platforms serving 50M+ users.

Currently at Zoox / Amazon leading Perception ML Systems for a full L4 autonomous vehicle deployment. Previously at Google and founder/CTO of KI Design LLC, a consultancy delivering ML and data infrastructure for Fortune 1000 companies across safety-regulated industries.

I hold a Ph.D. in Automated Systems Validation from the University of Ottawa and am deeply invested in the intersection of rigorous evaluation methodology, safety engineering, and real-world AI deployment.

Safety & Risk Safety-Critical ML Risk-Gated Model Deployment In-Field Safety Regression Detection Failure Mode Analysis Edge Case Risk Coverage

Eval & Hill Climbing Eval Framework Design Hill Climbing Methodology Sim-to-Real Gap Analysis Launch Readiness Assessment Model Regression Benchmarking

ML & Perception Model Deployment Pipelines Automated Data Selection Triage Clustering Anomaly Detection PyTorch

Engineering Python C++ TypeScript JavaScript Real-Time Systems Scalable ML Infrastructure

Quantifiable metrics for evaluating traffic facility safety by analyzing observable conflict events. Directly relevant to AV safety evaluation methodology.

Comprehensive risk analysis of RideCo's safety features using the FAIR methodology — demonstrates structured risk quantification for mobility-as-a-service platforms. Python

React-based educational tool for NVIDIA NeMo's data management workflows. Bridges ML data tooling with accessible UI. Jupyter Notebook

Legal document analysis and compliance validation tool — applying ML to safety-regulated document review. JavaScript

Automated Secrecy Model Transformation with Validation — privacy and security model automation. Python

Generic ML model for detecting ads fraud — complements my Google-era work on risk signal detection and eval-driven safety systems.

• Ph.D., Automated Systems Validation — University of Ottawa, 2009
• M.C.S., Automated Analysis — Concordia University, 2000
• B.C.S., Computer Science — Lebanese American University, 1996

If you're working on safety-critical AI, autonomous systems, or ML evaluation infrastructure, I'd love to connect.

🌐 wael.bot  ·  📧 stfranciscowael@gmail.com