Mohammad Shahnawaz

Mohammad Shahnawaz

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Building asynchronous architectures & agentic AI tools.

Backend-focused developer specializing in AI pipelines. Experienced in building async FastAPI services, PostgreSQL vector schemas, and Model Context Protocol (MCP) toolkits. Seeking junior backend or AI engineering roles.

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About

I bridge the gap between deterministic backend systems and agentic AI models. My engineering focuses on developing robust API backends, modeling schemas, and designing Model Context Protocol (MCP) integrations that empower LLMs with real-world tool execution.

I am dedicated to writing clean, maintainable, and type-safe code that scales. Most of my work runs on FastAPI, PostgreSQL/SQLAlchemy, and Dockerized environments.

Experience

Open Source Contributor

MetaBrainz Foundation (ListenBrainz) 02.2025 — 05.2025
  • Implemented persistent volume storage using local storage across the React codebase, retaining user choices and filters for 1M+ active monthly users.
  • Contributed 4+ pull requests reviewed and merged by core maintainers, adhering to production review protocols.

Software Developer (Contract)

Raza Studioz 12.2025 — 02.2026
  • Built a responsive full-stack web application powered by serverless REST APIs and a Supabase (PostgreSQL) database.
  • Engineered a notification subsystem via Resend, scheduling alerts with a delivery latency of under 2 seconds.

Projects

MedAI

LangGraph • FastAPI • PostgreSQL • MCP

Agentic healthcare booking chatbot implementing Model Context Protocol (MCP) to dynamically invoke 8+ tools for patient schedules.

  • Designed SQL schemas via SQLAlchemy enforcing multi-turn agent context.
  • FastAPI backend slashed booking workflows by 60%.

SmartLearn

FastAPI • ChromaDB • Gemini • Docker

A containerized document retrieval pipeline providing low-latency semantic query search over text documents.

  • ChromaDB and Gemini Embeddings improved retrieval matching accuracy by 80%.
  • FastAPI backend on HF Spaces, sub-500ms latency.

Irrigo Smart Irrigation

Flask • Python • IoT • ESP8266

Full-stack IoT dashboard for monitoring soil telemetry metrics and triggering water pump controllers remotely.

  • REST APIs on Flask for communication with ESP8266.
  • Reduced water wastage by 80% through automated pump scheduling.

Skills

Languages

Python (primary), Javascript, SQL

AI / ML & GenAI

LangChain, LangGraph, Model Context Protocol (MCP), LLMs, RAG Chatbots

Web & APIs

FastAPI, REST APIs, Flask, Pydantic

Developer Tools

Git, Docker, Supabase, PostgreSQL, Jupyter Notebook

Education & Certs

B.Tech in Electronics & Communication

Guru Ghasidas Vishwavidyalaya (Central University) — Graduating May 2026

CGPA: 8.10 / 10.0

  • Top 1% Rank (among 33,131 students) in NPTEL IoT certification, IIT Kharagpur.
  • CS50's AI with Python Certificate — Harvard University / edX.
  • CS50x Introduction to Computer Science Certificate — Harvard University.