Hi, I’m Kedar Dabhadkar
I help take data-driven decisions and build AI-powered automations for science and manufacturing applications. I’ve worked in semiconductor manufacturing and environmental monitoring.
About
I’m a data scientist with experience in statistical data analysis, engineering, and machine learning. Currently, I work in the Equipment Intelligence group at Lam Research, building AI systems for semiconductor manufacturing. Prior to this, I worked at Ketos to build and scale remote monitoring of water quality for critical applications like getting lead out of drinking water.
I also independently research LLM-based applications and machine learning for environmental monitoring.
I built and maintain Fast Dash, an open-source Python library that transforms Python functions into interactive web applications. I also keep a curated agent toolkit of the MCP servers, skills, and patterns I use with Claude Code. When I’m not coding, I’m an amateur drummer.
Featured Work
LangStage
Every stage for your LangGraph agent: web, terminal, JupyterLab, VS Code, and documents with Codraft. Write the agent once and run it anywhere.
Highlighted
Fast Dash
Open-source Python library that turns any Python function into an interactive web app with minimal boilerplate. Built as a wrapper over Plotly Dash and used by data scientists for rapid ML prototyping.
Open Source
Lighthouse AI
LLM-powered knowledge assistant for SWAN, making research accessible and conversational.
Production
Water Quality Estimation
Integrating satellite imagery with water quality data for environmental monitoring.
Research
Actively Working On
Open to collaborations — reach out if any of these interest you.
| Project | Description |
|---|---|
| LangStage | Every stage for your LangGraph agent — web, terminal, JupyterLab, VS Code, and documents |
| Lighthouse AI v2 | Generative AI and LLM-powered tools to make SWAN’s knowledge base accessible and conversational. |
| Fast Dash | Open-source Python library for building web apps |
What I’m Reading
| Date | Title |
|---|---|
| Feb 18, 2026 | Automatically Learning Skills for Coding Agents |
| Feb 2, 2026 | Myths vs. Reality: Data Centers And Water Usage |
| Jan 31, 2026 | Context Management for Deep Agents |
| Jan 11, 2026 | Cursor: Dynamic Context Discovery for Production Coding Agents |
| Jan 3, 2026 | Agent Engineering: A New Discipline |
Let’s Connect
I’m always interested in discussing AI/ML projects, speaking opportunities, or collaboration ideas.
