Developer profile

Kedar Dabhadkar

@dkedar7 on GitHub ↗

Lam Research · Portland, OR

Likely Available

About

Data scientist, Carnegie Mellon grad. I build full-stack data-driven solutions.

Repositories

fast_dash

Turn your Python functions into interactive apps! Fast Dash is an innovative way to deploy your Python code as interactive web apps with minimal changes.

Python★ 129⑂ 20

embedchain-fastdash

Chat with your knowledge base — a conversational RAG agent (LangGraph + OpenRouter) built on Fast Dash's native chat mode. A modern rebuild of the original Embedchain demo.

Python★ 66⑂ 21

ProductionScheduling

Optimal production schedule of a multi-site manufacturing facility. Open 'Optimal Production Schedule.ipynb' for a complete walk-through.

Jupyter Notebook★ 8⑂ 0

langstage

The web stage for your LangGraph agent — self-hosted chat UI, file browser, canvas, and task board (MIT)

Python★ 5⑂ 2

streamlit-mcp

Serve any Streamlit app as an MCP server — agents drive it natively, no browser automation.

Python★ 2⑂ 2

langstage-cli

The terminal stage for your LangGraph agent — a Claude Code-style CLI for any CompiledGraph

Python★ 1⑂ 2

langstage-docs

Documentation for the LangStage family — every stage (web, terminal, Jupyter, VS Code) for your LangGraph agent

★ 1⑂ 0

map-mcp

Drive and perceive an existing live MapLibre GL map from an AI agent (MCP) or a human CLI — no test code, no browser automation.

Python★ 1⑂ 0

dstory

Build interactive scrollytelling and slide-deck data stories from Python — bundle, vet, theme, and ship a single self-contained HTML file.

Python★ 1⑂ 0

cowork-dash-v1

AI-power your workspace with deep agents

Python★ 1⑂ 0

show_your_work

Tutorial documents for Scipy 2025

Jupyter Notebook★ 1⑂ 1