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sitanshukr08/README.md

Sitanshu

AI Engineer • Machine Learning Systems • Python Developer

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About Me

I am an AI Engineer specializing in autonomous agent architectures, dual-LLM systems, and high-throughput semantic routing. My focus is on building deterministic, production-ready AI infrastructure that bridges the gap between raw LLM capabilities and reliable enterprise execution.

My expertise lies in bypassing traditional LLM limitations—whether through engineering secure LangGraph multi-agent systems, deploying Retrieval-Augmented Generation (RAG) loops with vector databases, or building zero-shot INT8 ONNX embeddings to eliminate token costs and latency. I don't just prompt models; I build the robust backend engines that orchestrate them.

  • Agentic Architecture: Dual-LLM Drafter-Critic loops, LangGraph, Human-in-the-Loop (HITL) constraints, RCE/SSRF security.
  • AI Infrastructure: Asyncio, FastAPI, Dynamic Batching, ONNX Runtime.
  • NLP & Vector Search: ChromaDB, Custom Embeddings, Dense Retrieval, Semantic Routing.
  • Machine Learning: Supervised/Unsupervised Pipelines, Scikit-learn, Deterministic Evaluators.

Tech Stack

Languages & Frameworks

AI & Machine Learning

Data & Analytics


GitHub Stats

GitHub Stats GitHub Streak

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  1. CVOS CVOS Public

    TypeScript 1

  2. DMRC-Live-Tracker DMRC-Live-Tracker Public

    Python 1

  3. Tract Tract Public

    Tract is a lightning-fast media intelligence suite. Download high-fidelity video/audio and instantly generate multilingual transcripts, semantic chapters, and LLM summaries using Groq.

    Python 1

  4. Aegisdesk Aegisdesk Public

    Enterprise Autonomous IT Intelligence — A deterministic, multi-agent LangGraph swarm with ACID-compliant graph memory for the modern Service Desk.

    Python