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@Sathvik-1007
Sathvik-1007
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Sathvik Gilakamsetty Sathvik-1007

AI Engineer. Builds agentic systems, production RAG pipelines, and developer tools

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Sathvik-1007 /README.md


"When you have eliminated the impossible, whatever remains, however improbable, must be the truth."
— Sir Arthur Conan Doyle

> whoami

class SathvikGilakamsetty:
 education = "B.Tech CSE, NIT Andhra Pradesh '25"
 location = "India"
 focus = "Agentic AI Systems & Advanced RAG Pipelines"
 languages = ["Python", "TypeScript", "Rust", "C++"]
 frameworks = ["FastAPI", "LangChain", "PyTorch", "HuggingFace"]
 databases = ["PostgreSQL", "Qdrant", "SQLite", "Redis"]
 platforms = ["Azure", "OVH Cloud", "AWS", "Docker"]
 approach = "Observe. Hypothesize. Build. Verify. Ship."

> investigations

Jantar

Sovereign AI for 137K Indian government APIs. 5-stage hybrid RAG: BGE-M3 dense+sparse on CUDA, cross-encoder reranking, plan-and-execute agent orchestration, 22 languages.

Python FastAPI Qdrant CUDA

GraphMem-MCP

Persistent memory layer for AI agents. Published on PyPI, 28 MCP tools, sqlite-vec + FTS5, ONNX embeddings, hybrid RRF search, multi-hop graph traversal.

Python SQLite ONNX MCP

CRPB

Idea-to-repository code generation. Multi-phase LLM pipeline, DAG task planning, deterministic synthesis, holistic validation with repair convergence.

Python Pydantic LLM Typer


> toolkit


> evidence


The game is always afoot.

Pinned Loading

  1. jantar jantar Public

    Agentic Layer for Indian Government Services — Advanced RAG indexing 137,362 APIs with BGE-M3 + cross-encoder reranking + multi-step planning + 22 Indian languages

    Python 1

  2. GraphMem-MCP GraphMem-MCP Public

    Production-grade Graph-RAG MCP server with local embeddings — persistent knowledge graphs for any LLM-powered CLI agent

    Python 1

  3. CRPB CRPB Public

    Python

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