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. When I’m not coding, I’m an amateur drummer.
Featured Work
DeepAgent Lab
AI-powered JupyterLab with deep agents for autonomous coding and data analysis.
Highlighted
Fast Dash
Open-source Python library to transform functions into interactive web apps. 500+ GitHub stars.
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 |
|---|---|
| Lighthouse AI v2 | Generative AI and LLM-powered tools to make SWAN’s knowledge base accessible and conversational. |
| DeepAgent Lab | AI-powered JupyterLab with deep agents for autonomous coding |
| Fast Dash | Open-source Python library for building web apps |
What I’m Reading
| Date | Title |
|---|---|
| Jan 3, 2026 | Agent Engineering: A New Discipline |
| Dec 30, 2025 | 2025 LLM Year in Review |
| Jul 19, 2025 | Context Engineering for AI Agents: Lessons from Building Manus |
| Jul 19, 2025 | LFM-1B-Math: Can Small Models Be Concise Reasoners? |
| Jul 1, 2025 | The New Skill in AI is Not Prompting, It’s Context Engineering |
Let’s Connect
I’m always interested in discussing AI/ML projects, speaking opportunities, or collaboration ideas.
