● Berkeley, CA
About
I'm Parham — an engineer and researcher at UC Berkeley working across autonomy, controls, and machine learning. My work lives between robots that move safely through the world and the learned systems deciding what they should do next.
BS in EECS (Dec 2024), finishing an MEng in Control & Robotics in May 2026. Currently a computer vision ML engineer at IntuigenceAI; previously worked on an autonomous race car at Berkeley and spent two years at the Berkeley AI Research (BAIR) lab.
Experience
- Jan 2025 — Mar 2026
ML Engineer (Computer Vision)
IntuigenceAI San Francisco, CA- · Converted P&ID schematics into knowledge graphs representing industrial process topology.
- · Developed graph algorithms to detect faulty components and infer valid configurations under changing valve states.
- · Built GPU training + inference pipelines on Azure for scalable vision model development.
- Jun 2023 — Dec 2024
Research Assistant — Autonomous Race Car
UC Berkeley Berkeley, CA- · Progress-based Model Predictive Controller using CasADi and ACADOS.
- · Trained a transformer policy via DAgger to imitate MPC trajectories for faster inference.
- Jan 2023 — Dec 2024
Research Assistant — BAIR Lab
UC Berkeley Berkeley, CA- · JAX autonomous driving simulator with vehicle dynamics and multi-agent traffic.
- · Trained PPO policies for lane-keeping and trajectory stabilization.
Education
- 2025 — May 2026
MEng Mechanical Engineering — Control & Robotics
UC Berkeley
GPA: 3.77
- 2021 — Dec 2024
BS Electrical Engineering & Computer Science
UC Berkeley
GPA: 3.73 · HKN EECS Honor Society
Toolbox
Currently
Working on decentralized fleet coordination for airport ground operations (MAPPO + Buffered Voronoi Cells), finishing an MEng thesis in controls, and pushing on LLM reasoning research with the Algoverse group. See the now page for the current-week details.