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