Building scalable data platforms by day · shipping AI systems & developer tools by night
About · Featured Work · Tech Stack · Activity · Connect
name: Kaustubh Mani Tripathi
experience: 7+ years
role: Data Engineer
stack_core: [Python, Spark, AWS, Airflow, SQL]
building_now:
- Native AI IDE (Chidori) + Android companion
- Distributed / on-device LLM workflows
- Automation tooling for creators & platforms
looking_for: Product-minded engineering roles at the data × AI edgeI work at the intersection of data platforms, cloud systems, and applied AI.
Most of my professional work is pipelines, performance, reliability, and automation — and my public repos explore LLMs, local agents, and tools people can actually run.
|
Cross-platform native AI IDE — releases & docs for a local-first coding agent.
|
Android companion — on-device LLM chat paired with a desktop coordinator.
|
|
Trending-audio clip finder + LinkedIn carousel war room (CLI + GUI).
|
9×9 chess variant with C UCI engine, web UI, and optional ML policy training.
|
|
Pool devices over LAN to share LLM inference and collaborative decisions.
|
TypeScript tooling to observe, inspect, and debug AI agent behavior live.
|
- Scalable batch + incremental data pipelines
- Schema-aware backup, lineage, and reliability systems
- Performance-tuned Glue / Spark workloads
- Developer tools & internal platforms
- LLM-driven utilities, local agents, and automation workflows
- LLM internals & system design
- Vector workflows for data engineering
- Go for backend & infra tooling
- Advanced Spark / query optimization
- Product-company interview prep
“Good systems are boring. That’s how you know they work.”