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

Software Developer (Contract)

Raza Studioz Dec 2025 — Feb 2026
  • Built a full-stack web app with React, serverless REST API, and Supabase (PostgreSQL) serving 100+ active users.
  • Engineered an email dispatch system with Resend for real-time admin notifications (sub-2s delivery), while collaborating with the founder to clarify evolving requirements and prioritize features under shifting deadlines.

Open Source Contributor

MetaBrainz Foundation (ListenBrainz) Feb 2025 — May 2025
  • Implemented persistent volume storage via LocalStorage across the React codebase, enabling user preference retention across sessions for 1M+ active users on the platform.
  • Contributed 4+ pull requests reviewed and merged by core maintainers, iterating on implementation across multiple review cycles while adapting to an unfamiliar large-scale codebase.

Projects

ResumeXAnalyzer

FastAPI • LangChain • Railway • React

Multi-agent AI platform analyzing 50+ resumes with sub-3000ms response time to identify gaps and improve job-fit alignment.

  • Wrote pytest unit and integration tests covering the analysis pipeline.
  • Deployed on Vercel and Railway with automated CI/CD.

MedAI

FastAPI • LangChain • MCP • PostgreSQL

Agentic healthcare chatbot implementing Model Context Protocol (MCP) with 8+ dynamically invoked tools.

  • Reduced manual booking time by 60% with async FastAPI backend.
  • PostgreSQL schemas (SQLAlchemy) with sub-3s latency.

SmartLearn

FastAPI • ChromaDB • Gemini • Docker

RAG document retrieval pipeline with Gemini embeddings enhancing matching accuracy by 80%.

  • Dockerized FastAPI backend deployed on HF Spaces.
  • Serves agent requests with 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.