Hey, I'm Sudhamsh Guptha — an AI/ML engineer who's obsessed with building things that actually work. Not just notebooks that impress professors, but real systems that handle real users.
I recently shipped ArigatoAI, a production RAG chatbot that answers tax queries for a CA firm. We're talking 2,400+ vectors, sub-2 second responses, and actual clients using it daily. That's the kind of stuff that gets me excited.
My sweet spot? Taking messy real-world problems and turning them into clean, deployed AI solutions. If you're building something with LLMs, RAG, or applied ML — I'd love to chat.
async def query(question: str):
# Embed & retrieve
embedding = await openai.embed(question)
docs = pinecone.query(embedding, top_k=5)
# Generate response
context = "\n".join(docs)
response = await llm.complete(
prompt=f"{context}\n\n{question}"
)
return response
Production RAG Chatbot — Tax & Compliance
Research Paper — RAG Architecture
Cybersecurity Tooling
ML Classification System