---
title: "Mohammed Shahabaz - Founding Engineer (Backend & Distributed Systems) in Bengaluru | Tal"
description: "Meet Mohammed Shahabaz, Founding Engineer | Backend & Distributed Systems | LLM/RAG | Python | Scaled to 70K+ Users based in Bengaluru. AI stack includes antigravity, claude, and codex. Explore public work links including github."
image: "https://tal.club/meet/mohammed-shahabaz/share-image"
---

# Mohammed Shahabaz on Tal

## Headline

Founding Engineer \| Backend & Distributed Systems \| LLM/RAG \| Python \| Scaled to 70K\+ Users

## About

I’m a Founding Engineer focused on building scalable backend and distributed systems that operate reliably in production\. At Ryvo, I’ve architected an event\-driven credit processing system from scratch, scaling it to support 70K\+ users\. My work centers around designing asynchronous, fault\-tolerant systems and improving performance, reducing API latency from 300ms to 80ms and lowering database load by 60% through better data access patterns and caching\. I also work on LLM\-powered features, building multi\-stage pipelines with RAG that improved response accuracy from 55% to 85%\. I’m particularly interested in how AI systems integrate with production\-grade backend architectures\. Previously, I’ve built backend platforms from 0 to 1, implemented Kafka\-based event\-driven pipelines, and developed AI\-driven systems like natural language to SQL\. I enjoy solving problems involving distributed systems, system design, and performance optimization—especially where scale and reliability matter\. Open to backend and AI\-focused roles where I can build and scale systems end\-to\-end\.

## Location

Bengaluru

## AI stack

antigravity

claude

codex

langchain

openai

## Work experience

Founding Engineer \(Backend & Distributed Systems\) at RYVO, Oct 2025 \- Present · 11 mos, Bengaluru, Karnataka, India, \- Architected an event\-driven credit processing system from scratch using SQS, scaling to 70K\+ users and 500\+ daily workflows\. \- Designed idempotent, asynchronous workflows ensuring fault\-tolerant and retry\-safe execution across distributed services\. \- Implemented fan\-out queue\-based processing to improve throughput and decouple system components Reduced API latency from 300ms to 80ms and lowered database load by 60% through caching, indexing, and optimized data access patterns\. \- Built a multi\-stage LLM pipeline with RAG, improving response accuracy from 55% to 85%\.

Software Development Engineer at ClickPost, Oct 2024 \- Feb 2025 · 5 mos, Bengaluru, Karnataka, India, \- Designed and deployed an NPS pipeline, increasing feedback coverage by 40%\. \- Built a Kafka\-based event\-driven pipeline for real\-time data ingestion and decoupled processing\. \- Improved observability using ELK stack, reducing log query latency by 55%\. \- Developed and optimized backend APIs for high\-throughput logistics workflows\.

Founding Engineer at yoopIQ, Jun 2023 \- Aug 2024 · 1 yr 3 mos, Bengaluru, Karnataka, India, \- Architected backend platform from 0 to 1 using Django and PostgreSQL, enabling scalable data\-driven workflows\. \- Built a natural language\-to\-SQL system using GPT\-4, achieving 80%\+ query accuracy\. \- Reduced dashboard load time by 40% by offloading large analytical data to S3 and optimizing retrieval logic\. \- Implemented Redis caching for high\-frequency queries, improving response latency by 60%\. \- Designed and developed core APIs for data visualization and analytics workflows\.

Associate Technical Engineer at VMware, Jan 2022 \- Jul 2022 · 7 mos, Bengaluru, Karnataka, India, \- Troubleshot production issues in Linux\-based virtualized environments and enterprise storage systems \(NAS/SAN\)\. \- Diagnosed performance bottlenecks and system failures across compute, storage, and networking layers\. \- Worked with VMware stack \(vSphere, ESXi, vCenter\) and networking technologies including NSX and load balancing\.

## Education

Bachelor of Technology, Computer Science, Geethanjali Institute of Science and technology

sri chaitanya junior college

## Public links

- github: https://github\.com/mdshahabaz

[View the original profile](https://tal.club/meet/mohammed-shahabaz)

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