Samresh Panigrahi

I clean up messy data so machines — and the people who rely on them — can make better decisions.

That's the short version of what I do as a AI-Trainer, and it's the thread running through everything I've built so far: a BCA in Computer Science, hands-on work with SQL and Python, and a growing obsession with how data pipelines actually work under the hood.

Right now, I'm at Harvested Robotics, where I annotate and structure data that feeds directly into ML models — the unglamorous work that determines whether a model actually performs in the real world or falls apart in production. Before that, I did similar work at Innodata Inc., annotating ~1,000+ data points across projects with a strong focus on accuracy and consistency.

What I'm building toward: a career in data engineering and analytics. I'm not interested in just moving data from point A to point B — I want to understand why pipelines break, how to make them resilient, and how raw data becomes a business decision someone actually trusts. A few things that are true about how I work: → I care more about getting it right than getting it done fast → I ask "why" before I touch the data, not after → I'm still early, and I'm not pretending otherwise — I'm learning in public and leveling up fast

Currently sharpening: CI/CD pipelines, cloud fundamentals (certified), and applied data science.