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saiabhi26/README.md

Hi, I'm Sai Abhisekh

Software Engineer

I design and build backend systems.

🌱 I'm currently exploring agentic AI development; RAG Pipelines, MCP servers, integration of LLMs with APIs, databases and real user Workflows.

Languages: Python, TypeScript, JavaScript, SQL, Java

Frameworks and Libraries: Node.js, Express.js, Spring Boot, FastAPI, Flask, React

Data: MySQL, PostgreSQL, Redis, MongoDB, Elasticsearch, SQLAlchemy

Tools & DevOps: Kafka, Git, Docker, Kubernetes, Jenkins, Github Actions, Postman, Confluence

AI Engineering: RAG, MCPs, Agent orchestration, Evaluations, Guardrails, memory management.

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  1. ub-library-search ub-library-search Public

    A local MCP server that lets an agent search UB Libraries (through OneSearch) for books, articles, journals, other public resources and return their library location as well as availability (physic…

    Python 4

  2. ai-incident-response-agent ai-incident-response-agent Public

    AI-powered incident response assistant built with FastAPI and LangGraph — helps engineers triage errors, form root-cause hypotheses, and draft postmortems through a conversational agent with memory…

    Python

  3. arxiv-rag-chatbot arxiv-rag-chatbot Public

    Arxiv-grounded RAG chatbot. Retrieves real and popular papers from arxiv before answering, and knows when it doesn't know.

    Python

  4. agent-chat-for-sales agent-chat-for-sales Public

    NL-to-SQL chat agent over a live transactional dataset, with a real-time dashboard frontend.

    TypeScript

  5. skytalk-agent skytalk-agent Public

    A real-time voice agent for flight booking.

    Python

  6. handwritten-digits-classification handwritten-digits-classification Public

    Implementation of a Multilayer Perceptron neural network (feedforward, backpropagation, L2 regularization) from scratch in Python to classify MNIST digits and CelebA face images. Which is then comp…

    Jupyter Notebook