Md Riyadh

Md Riyadh

Experienced Backend Software Engineer | PhD in Applied AI

Distributed Systems Backend Architecture AI Platforms Data Platforms

Lead Engineer with deep expertise in building and maintaining scalable backend and data systems serving millions of users across domains such as Real Time Fraud Detection, Online Experimentation Platform, and a forerunner in building and enabling Agentic AI platforms from the ground up.

Recent Professional Work

Migrating Counter Service storage: Design choices and learnings Distributed Systems Migration Kafka Aerospike Reducing infrastructure cost by optimizing data retrieval strategy of a high-throughput backend service Performance Optimization Cost Optimization Caching Scylla SpellVault's evolution: Beyond LLM apps, towards the agentic future Agentic AI Tools & Harness Workflow RAG Seamless migration of high-volume real-time streaming system Distributed Systems Optimization Streams Migration Data Integrity

Open Source Contributions

liteflags-rs Lightweight Rust feature flags for explicit rollout control Rust Feature Flags Rollout Control Configuration TinyMCP FastAPI-friendly MCP toolkit for exposing tools to AI clients Python MCP FastAPI AI Tools weighted-random-hit Weighted random sampling utility for balanced stream sampling Go Sampling

AI Research

GAN-BElectra: Enhanced multi-class sentiment analysis with limited labeled data NLP Low-Resource ML Towards automatic evaluation of NLG tasks using conversational large language models Generative AI Evals ECSGen and iZen: A New NLP Task and a Zeroshot Framework to Perform it Generative AI Zero-Shot Learning Prompt Engineering