01 ·
Build
agentic systems.
Tool-use, memory, multi-agent orchestration.
- LangChain
- LangGraph
- Deep Agents
- Ollama
- MCP
[ MISSION ]The pipeline below is what I shipped last month.
Documents · web · policies
Parse · structure · version
Hybrid search · rerank · filter
Intent · compare · compliance
Citations · confidence
STAT / 01
3×
AI products shipped, end-to-end
STAT / 02
1×
AI studio · Savira, private alpha
STAT / 03
0.754
Sentence fluency Pearson (HiPPA)
01I build AI systems that survive contact with production. Most of my work is around agentic systems, retrieval, and the boring infrastructure that makes LLMs usable — versioning, permissions, evaluation, observability.
02Stack: Python, FastAPI, the LangChain / LangGraph ecosystem. I have shipped RAG pipelines over FAISS, ChromaDB, and Pinecone, and wired enough APIs to know that the integration is the product.
03I write runbooks before code. If a system cannot be debugged at 2am, it does not ship. If a model change cannot be evaluated, it does not deploy.
01 ·
Build
Tool-use, memory, multi-agent orchestration.
02 ·
Wire
Hybrid search, reranking, contextual chunking.
03 ·
Engineer
Typed APIs, queues, observability, deployable.
04 ·
Evaluate
Eval harness gates every prompt change in CI.
STACK
Python · FastAPI · LangGraph
VECTORS
FAISS · Chroma · Pinecone
DEPLOY
Docker · AWS · PostgreSQL
PRACTICE
Runbook before code
Aug 2026 — Present
Remote
Enterprise AI infrastructure studio. Currently shipping Savira Cortex — a knowledge OS for internal documents.
2024
Independent
End-to-end recruitment platform — job posting through offer — with LLM-driven screening, matching, scheduling, and email.
2023
Independent
Desktop AI learning platform with multi-user auth, RAG over PDFs and web, and persistent memory threads.
2025
Independent
Privacy-first AI assistant. Zero external API dependency. Fully local multi-modal.
Independently built a hierarchical multi-task transformer pipeline for pronunciation assessment on SpeechOcean762, extending the benchmark's coverage beyond its phoneme-only baseline.
ESTABLISHED TRANSFORMER BLOCKS (WavLM, cross-attention, multi-task learning, CTC) APPLIED TO A BENCHMARK WHOSE OFFICIAL BASELINE ONLY COVERS PHONEME-LEVEL SCORING.
Read paper (PDF)→0.000
The trade-off: a small drop on phoneme-level scoring (0.450 → 0.396), in exchange for three new metrics the benchmark did not previously support — word total, sentence prosody, sentence fluency.
B.E. Computer Science and Engineering
Patiala, Punjab
School Leaving Certificate (SLC)
Kathmandu, Nepal
Secondary Education Examination (SEE)
Raniban, Gorkha, Nepal
AWD/01
2023 — Present
Competitively awarded merit scholarship for Nepalese students studying in India. Covers full tuition and hostel at Thapar.