Shape the data first
Clean contracts, clear lineage, and resilient processing create the foundation for everything that follows.
Turning raw data into intelligent systems people actually trust.
I'm Lokesh Jasti — a data engineer with an M.S. in Computer Science and 3+ years delivering scalable ETL programs for regulated pharmaceutical and utility environments, with a parallel focus on applied AI and dependable data platforms.
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0Years experience
0Projects shipped
0IEEE papers
How I work
Engineering with a point of view.
I work across data pipelines, analytics, cloud infrastructure, and AI interfaces. The goal isn't more technology — it's a system people can understand, trust, and use. (Yes, even at 2 AM when the DAG fails.)
Make AI accountable
Useful AI should show its evidence, respect privacy, and make uncertainty visible rather than hiding it.
Design for decisions
Dashboards and workflows should reduce cognitive load and help people move from insight to action.
Selected work
Ideas becoming real systems.
Click any node to inspect the architecture. Personal builds and academic capstones — all wired for production thinking.
Technical range
From raw data to useful product.
Engineering depth meets product thinking — ingestion through interface.
Experience
Work shaped by real systems.
Enterprise pipelines, cloud migration, and production workflows — tap a role to expand.
Published research
Applied AI, documented.
Education
Computer science, deeply practiced.
Contact
have a question?
Whether you're exploring a data platform build, an applied AI product, or a collaboration — send a message through the form and I'll get back to you.
I typically respond within 48 hours on weekdays. For project-specific ideas, you can also leave suggestions directly on any personal project page.