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Sahith59/README.md
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AI/ML engineer with 2+ years shipping production systems across the full intelligence stack — transformer fine-tuning, LLM agent pipelines, RAG systems, and the backend and full-stack infrastructure that gets them in front of real users. Recognized with the FedEx Innovation Award for an NLP classifier that hit 94% accuracy, cut case resolution by 30%, and eliminated 40% of manual triage across a two-team production pilot. My work spans every layer from model architecture and evaluation to microservice APIs and real-time dashboards — because the hardest problems in production AI aren't the models, they're the systems around them. Currently running as Data Scientist II, AI Platform at FedEx Express, with an M.S. in Computer Science from Georgia State University.


INTELLIGENCE SYSTEMS


LANGUAGES


AGENT & GenAI

LangChain LangGraph ChromaDB Ollama HuggingFace MLflow RAG


BACKEND & FULL-STACK


INFRASTRUCTURE

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  1. AgentMem-OS AgentMem-OS Public

    A local-first, persistent memory operating system for long-horizon LLM agents.

    Python 1

  2. IDE_Agent IDE_Agent Public

    A fully local, privacy-first AI agent that functions as an all-knowing senior team member for your application. The agent will be capable of answering any question — whether technical, business-ori…

    Python 1

  3. mlx-examples mlx-examples Public

    Forked from ml-explore/mlx-examples

    Examples in the MLX framework

    Python 1

  4. OverLeaf_MCP OverLeaf_MCP Public

    An MCP (Model Context Protocol) server that connects Claude directly to Overleaf and your local LaTeX toolchain. Instead of copying code out of Claude, pasting it into Overleaf, waiting for compila…

    TypeScript 1

  5. ShadowAI ShadowAI Public

    Shadow AI is a macOS desktop overlay that listens to your system audio in real time, transcribes it using Groq Whisper, and generates AI-powered responses.

    JavaScript 1

  6. WordEX-MCP WordEX-MCP Public

    MCP server that lets AI assistants read and write Word, Excel, PDF, and PowerPoint files — fully local, no cloud

    TypeScript 1