Mann Limbachiya

Heyyo👋, I'm

Mann Limbachiya

A curiosity-driven backend engineer crafting scalable cloud systems
and exploring the edges of AI ☁️🤖


Building systems that scale - and dreams that don’t crash. ⚙️✨

Mann's photo

A BIT 'BOUT MY JOURNEY

I'm a backend and cloud engineer based in Ahmedabad, India, with over four years of experience turning ideas into robust, scalable cloud-native solutions. My journey began at an MNC, where I first got my hands dirty with real-world backend systems- figuring out how everything fits together amid the chaos of production environments. That’s where I discovered my love for building systems that not only work but thrive under load, and for those late-night deep dives into challenging technical puzzles.

Since then, I've taken on roles with end-to-end ownership-sketching out ideas, coding them up, and pushing them live with confidence. I've built event-driven data pipelines, serverless applications, and AI-powered automation flows using tools like Python, FastAPI, Django, Django REST Framework, AWS services, LangChain, A2A Protocol and MCP.

Lately, my curiosity has led me into the world of AI-driven backends-experimenting with RAG setups, agentic AI, and MCP frameworks to design smarter, adaptive automation systems. I'm also an AWS Certified Solutions Architect - Associate, which has sharpened my skills in architecting secure, efficient, and scalable cloud environments.

What truly drives me is an insatiable curiosity-constantly exploring new technologies and finding creative ways to blend them into meaningful, real-world solutions that push boundaries and make engineering just a little more exciting.

Here's some tech and frameworks I love and work with:
Python

Python

AWS

AWS

Lambda

Lambda

ECS

ECS

Roboflow

Roboflow

YOLOv8 (Ultralytics)

YOLOv8 (Ultralytics)

Pytorch

Pytorch

Fargate

Fargate

Textract

Textract

Rekognition

Rekognition

FastAPI

FastAPI

Django

Django

Django REST Framework

Django REST Framework

Langchain

Langchain

Streamlit

Streamlit

MCP

MCP

RAG

RAG

A2A Protocol

A2A Protocol

MySQL/RDS

MySQL/RDS

Redis

Redis

Kafka

Kafka

Chromadb

Chromadb

Docker

Docker

IaC

IaC

CI/CD

CI/CD

Celery

Celery

OpenSearch/Elasticsearch

OpenSearch/Elasticsearch

SQS

SQS

asyncio

asyncio

Work

Check out some of my recent work - cool products I've been part of, built using the latest tech and libraries to create something awesome!

Vet Consult Platform

Built a system where veterinarians can quickly search for animal diseases.Administrators upload disease books (EPUB files), and the system reads them and makes the content searchable so vets can easily find the information they need.

See what I did

Aviva

Built and supported the internal IT Self-Service Portal used by Aviva employees to log support requests, access shared tools and resources, and request services. Worked primarily on support, bug fixes, database-related tasks, and small feature improvements to enhance portal reliability and performance.

See what I did

Transport for London (TfL)

Developed data processing workflows to extract information from emails and documents, enabling downstream teams to use the data effectively.

See what I did

Visa Inc.

Built an agentic AI workflow that classifies transactions as fraud/non-fraud and automatically triggers downstream business actions like dispute creation and card blocking using tool-calling agents and a custom orchestrator.

See what I did


Personal Projects

Check out some of my recent work - cool products I've been part of, built using the latest tech and libraries to create something awesome!

MCP HUB

MCP-Hub is an open-source gateway that connects multiple Model Context Protocol (MCP) servers and exposes a single, easy-to-use MCP interface, so clients don’t need to manage multiple connections.

See what I did

Rice Quality Detector - Edge AI

A lightweight computer vision system that detects and classifies rice grains into quality categories using YOLOv8 object detection, optimized for edge deployment with a TensorFlow Lite INT8 quantized model for fast on-device inference.

See what I did

Client's love

Client love icon

“We worked with Mann at Aviva on several backend and automation initiatives. He consistently delivered high-quality solutions, approached problems thoughtfully, and helped improve our team’s engineering practices. Mann was always willing to collaborate and support others, bringing both skill and positivity to the team. We highly recommend him to any engineering team.”

IT Automation & Engineering Team, Aviva

Aviva

Client love icon

“I had the pleasure of working closely with Mann on the TfL project. He played a key role in designing and building scalable serverless document and email-processing workflows on AWS that significantly improved our operational efficiency. Mann has a calm, analytical approach to problem-solving — whether it was architecting reliable OCR pipelines, smoothing complex automation flows, or troubleshooting production issues, he consistently delivered high-quality solutions.”

Mahuya Mondal

Transport for London (TfL)

Lets build beautiful,
meaningful things together!