class Deepansh:
def __init__(self):
self.name = "Deepansh Saxena"
self.university = "Purdue University · CS + Data Science · '27"
self.current = "Incoming AI Engineer Intern @ T-Mobile (IntentCX)"
self.prev = "AI Operations Lead @ Jeeves (YC S20)"
self.club = "prev. Technical Lead, Claude Builder Club @ Purdue (85+ members)"
self.obsession = ["multi-agent systems", "durable workflows", "distributed systems"]
def currently_building(self):
return {
"DuraLang": "Make LangChain agents durable with one decorator — @dura",
"Jiri": "Self-improving AI agent · TartanHacks 2026 🏆 1st Place",
"MediCall": "Autonomous voice agent that books your doctor's appointments",
}| Project | What it does | Stack |
|---|---|---|
| DuraLang | Make stochastic AI systems durable with @dura |
Python Temporal LangChain PyPI |
| Jiri | Self-improving agent — zero preset tools, discovers MCP servers at runtime | Python MCP Semantic Search |
| MediCall | Autonomous voice agent that finds & books in-network providers | Python LiveKit Twilio LLaMA 4 |
| Synapse | Real-time interview co-pilot with confidence & clarity metrics | TypeScript |
Languages
AI / Agents
Infra & Tools


