Applied AI and Data Systems
Harish Khollam
I build reliable AI and data systems for real-world use.
No buzzwords. Just practical systems that work in production.
A working studio for production AI: what gets built, what breaks, and what finally scales. The focus is practical execution over hype.
What I build — LLM products, document intelligence pipelines, and robust data workflows.
What I improve — reliability, evaluation quality, and bottlenecks that block production scale.
What I share — playbooks, architecture choices, and operating patterns that keep teams moving.
The kind of systems Harish builds are infrastructure-heavy and operational by nature. This is the visual language behind that work: distributed data, orchestration, and production delivery.
Daily AI stories curated from across the web — TechCrunch, The Verge, MIT Technology Review, and more. Auto-updated every morning so you don’t have to hunt for what matters.
Harish is currently building production software for data-intensive AI systems: coding robust pipelines, engineering data flows, and shipping LLM features that remain dependable at scale. The work spans data engineering, big data processing, and agentic AI patterns where autonomous agents collaborate inside smart systems instead of single isolated prompts.
Thoughts on production AI systems, data engineering, and the engineering challenges nobody talks about. Building in public—exploring what actually works when you move from benchmark to production.
Harish sees technology as a tool for creating opportunity. His focus is on getting intelligent systems out of the lab and into the real world, prioritizing reliability, interpretability, and genuine usefulness. He thrives on open-ended challenges and enjoys collaborating to build systems that matter, regardless of the industry.
Beyond building platforms, his passion is building people. He runs workshops, mentors students, and actively explores how AI can open doors for those who usually don't get access to it. Harish believes the most interesting work happens at the intersection of technical depth and human impact.
If your team is building a production AI system (or wants to) — harishkhollam@gmail.com
Always open to meaningful collaborations.