Resumes

I keep a single source of truth (this site) and several role-targeted resume views so you can land on whichever framing matches the role you’re hiring for. Same person, same projects — different emphasis.

Pick a view

🚀 Forward Deployed Engineer PDF

Real-world AI and robotics delivery, customer discovery, field troubleshooting, and 0-to-1 product deployment. Best for: forward deployed engineering, robotics deployment, field solutions, customer engineering, and applied AI delivery roles. Evidence includes roadside LiDAR-camera deployment, robotic bridge inspection, and ScholarMind AI.

🤖 Robotics Software Engineer  ·  PDF

LiDAR + multi-camera systems, sensor synchronization & calibration, ROS, real-time pipelines. Best for: robotics software roles, perception / data-systems roles, autonomy stacks, sensor platform teams, AV / mobility companies. Keywords: ROS 2, LiDAR, DepthAI, MCAP, Protobuf, multi-camera calibration, NVIDIA Jetson, sensor fusion, C++ / Python.

🧠 Machine Learning Engineer  ·  PDF

Applied CV / 3D detection / multimodal fusion, training + cloud and edge deployment. Best for: ML engineer roles with a CV / perception flavor, applied research roles, infrastructure-AI startups. Keywords: PyTorch, AWS, CNN, 3D object detection, contrastive learning, computer vision, NVIDIA Jetson edge inference.

📚 Full Academic CV  ·  PDF

Complete record — every publication, patent, course taught, grant, and reviewer assignment. Best for academic search committees or grant reviewers.

Direct PDF downloads

Why multiple views?

A single “do-everything” resume tends to under-sell every role it’s targeting. The work I’ve shipped genuinely sits across robotics, perception engineering, and applied ML — so each role-targeted page leads with the experience most relevant to that hiring bar.

If you want a custom framing for a specific role, email me.


This site is maintained with AI-assisted tooling (Claude Code) — same engineer-meets-AI pattern I apply to research and dev workflows.