SYSTEM INIT · PROFILE RETRIEVAL · v2.47
✓inference engine online
✓vector store connected · 50,000 chunks
▸retrieving profile: TR-001 · taradepan.r
✓relevance score: 0.97 · threshold passed
✓evidence: 9 communities · 3 companies · 1 prod fix at 2am
▸generating briefing...
scroll to open
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// query
// retrieving relevant context
0.97
[Entelligence AI · 2025–present] "Founding engineer. Owns frontend, backend, and AI — whatever the product needs. Builds across the full stack in a fast-moving early-stage environment."
0.94
[Oppdoor · 2024] "The only AI engineer on the team. Built the RAG pipeline end-to-end — GPT-4o, LangChain, LlamaIndex."
0.91
[fiXit · 2024] "Contributed to a live GenAI backend. Worked across GPT-3.5 + ChromaDB + FastAPI — hands-on with the AI layer."
DEPLOY LOG · Entelligence AI · 2025
Feature
AI Agent
entelligence · production
Shipped In
0
monday → wednesday
Team
0
solo engineer
Status
Production
no handoff · live
13.0827° N 80.2707° E · Chennai
Profile · TR-001 · Confidence: 97.4%
TARADEPAN R.
Applied AI & Full-Stack Engineer
0
Communities
0
Talks given
0
Companies
Evidence · Public Record
He doesn't just build it.
He explains it — to rooms.
Capability Assessment
What the model knows
about this engineer.
RAG Systems & AI Agent Architecture0.97
FastAPI · ChromaDB · GPT-4o · Claude Sonnet 4.6
Full-Stack Product Delivery0.91
Next.js · Django · Flask · ships end-to-end
Communication & Explanation0.95
9 communities · GDSC · Azure UG
Ships Under Pressure0.99
see: incident report · 02:47 IST
Experience · Commit Log
a3f9d1e · Apr 2025 → Present
feat(all): founding engineer at Entelligence AI
+ SDE · frontend + backend + AI · whatever it takes
+ Next.js + Django · early-stage, fast-moving product
b7c2e4a · Apr 2024 → Jul 2024
feat(rag): build RAG pipeline as sole AI engineer
+ Developer Intern · Oppdoor · only AI engineer on team
+ GPT-4o · LangChain · LlamaIndex
d1e8f3b · Jan 2024 → Mar 2024
feat(genai): contribute to live GenAI backend
+ Backend GenAI Intern · fiXit · OpenAI GPT-3.5 + ChromaDB + FastAPI
Briefing complete
You've seen enough
to know.
Start the conversation.
Not exploring AI. Shipping it. If you need someone who builds the system, ships the product, and can explain it to the room — let's talk.
Engineers who ship tend to stay busy. Don't wait on this one.