AWS Certified Cloud Practitioner
Open to Remote Roles

MuhammadΒ Shahiryar

Senior Software Engineer Β· MERN + AI Systems

I build AI-powered SaaS systems that scale.

6 years engineering SaaS platforms, high-throughput APIs, and cloud-native systems. At Amrood Labs, I am building PowerMatch with RAG assistants, real-time messaging, and Twilio cloud telephony, after shipping email and integration systems processing 100K+ daily messages with 95%+ deliverability.

100K+
Daily Messages Processed
50+
Enterprise Clients
15+
Countries Served

Technologies I work with

πŸ¦…
NestJS
🐘
PostgreSQL
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React
🟒
Node.js
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TypeScript
Why Work With Me

What I Bring to Your Team

Not just code β€” production-grade systems with measurable business impact

Production Scale

Email systems handling 100K+ daily messages with 99.9% uptime and 95%+ deliverability

Real-Time & Integrations

WebSocket messaging, Twilio cloud dialers, and marketplace apps (Slack, n8n) serving 50+ enterprise clients

Cloud Architecture

Serverless systems on AWS that reduced infrastructure costs by 40%

AI/LLM Engineering

RAG conversational assistants with OpenAI, LangChain & LangSmith β€” plus AI features that lifted response rates by 25%

Quality Engineering

85% test coverage, CI/CD pipelines, and code review standards reducing bugs by 35%

Technical Leadership

Driving architecture decisions and establishing development standards for teams

TypeScript
Node.js
NestJS
React
Next.js
AWS
MongoDB
PostgreSQL
Redis
Docker
GraphQL
OpenAI
LangChain
RAG
WebSockets
Twilio
About Me

Senior Engineer. AI Products. Production Scale.

Senior Software Engineer with 6 years of experience building production SaaS platforms across the MERN stack, cloud infrastructure, and AI/LLM systems. I specialize in owning product features end to end, from architecture and APIs to real-time workflows, integrations, and delivery quality.

6 Years in Production

7 SaaS products shipped to production, serving real users

7 products

AWS Certified

Cloud Practitioner with 40% infrastructure cost reduction

40% savings

High-Throughput Systems

Email systems processing 100K+ daily with 95%+ deliverability

100K+/day

Technical Leadership

Architecture decisions and development standards for teams

4-person team

Enterprise Scale

Published Slack & n8n apps serving 50+ enterprise clients

50+ clients

AI/LLM Engineering

RAG assistants with OpenAI & LangChain, plus AI features improving response rates by 25%

RAG in production

What I Bring to the Table

I build systems that survive real usage, not just clean demos. My work spans AI-powered recruitment and email platforms, high-throughput backend services, marketplace integrations, real-time communication, and cloud-native infrastructure.

Today at Amrood Labs, I am building PowerMatch: RAG conversational assistants with OpenAI, LangChain, and LangSmith, real-time messaging over WebSockets, and Twilio cloud telephony on top of scalable NestJS APIs, MongoDB, Redis, Docker, and AWS.

Across previous work, I have delivered email systems processing 100K+ daily messages with 95%+ deliverability, serverless APIs with 99.9% uptime, Slack and n8n marketplace integrations for 50+ enterprise clients, and engineering practices that reduced production bugs by 35%.

Key Accomplishments

  • β€’RAG Assistant in Production β€” Conversational AI over knowledge bases and live application data with OpenAI, LangChain & LangSmith
  • β€’100K+ Daily Email Processing β€” Built AI-powered email systems with 95%+ deliverability and 99.9% uptime
  • β€’Slack Marketplace App β€” Designed and published production app meeting enterprise security requirements
  • β€’40% Infrastructure Cost Reduction β€” Serverless architecture on AWS Lambda vs traditional EC2 deployment
  • β€’75% Query Performance Improvement β€” MongoDB optimization from 800ms to 200ms average response
  • β€’15+ Countries Served β€” Timezone-agnostic notification system with zero timezone-related failures
Muhammad Shahiryar - Senior Software Engineer