About
I connect business outcomes to model behavior and build the system in between.
Right now I'm a Senior Machine Learning Engineer at TRC Inc, working remotely from India. I build agentic AI systems, evaluation frameworks, document-intelligence pipelines, and 3D intelligence systems — work where plausible output isn't enough and the system has to be measurable, diagnosable, and reliable inside a real workflow.
My core interests are robotics, computer vision, and 3D perception: SfM at scale, Gaussian Splatting for real-time rendering, and LiDAR segmentation for utility infrastructure. That work taught me that reproducing a paper is only the beginning. Data quality, runtime, evaluation design, and deployment constraints often contain the harder research questions.
Today I apply the same mindset to LLM systems, and the loop runs in both directions: production failures decide which research questions are worth my time, and the experiments decide what ships next.
Education
M.E. Robotics
University of Maryland, College Park
B.E. Mechanical Engineering
Nirma University, India
The non-CV version
"We are a way for the cosmos to know itself."
- Perspective
- I look at stars for perspective and model traces for root causes.
- Open tabs
- History, markets, geopolitics, and theology — an efficient way to never run out of them.
- Reset protocol
- Running, hiking, lifting, football, cricket, or tennis. Most existential questions improve after moving.
- Cooldown
- Sitcoms, preferably with no debugging required.
Get in touch
- Write to me
- /in/param-dave ↗
- GitHub
- @ParamDave5 ↗
- Résumé
- View résumé ↗