Software Engineer building distributed systems & AI-native infrastructure
I design systems that scale under load and stay correct under concurrency.
I design and ship production-grade backend systems focused on:
I care deeply about correctness, scalability, and business impact.
NodeJS
Django
Python
JavaScript
Docker
Redis
PostgreSQL
MongoDB
AWS
Architecture: S3 → Lambda → SQS → Lambda → PostgreSQL
Scale: 10,000+ async jobs/day
Designed and implemented a fault-tolerant, event-driven ingestion pipeline to process large CSV datasets into PostgreSQL.
Engineering Highlights
Focus Areas: Reliability • Concurrency Control • Horizontal Scalability
An AI-powered system that extracts structured quantitative metrics from complex PDF reports (tables + vector charts).
Stack: FastAPI • Celery • PostgreSQL • Layout Parsing Engine • LLM Orchestration
Core Capabilities
Designed for extensibility and large-scale document ingestion workflows.
A monitoring platform that tracks website changes and generates AI summaries for competitive intelligence.
Stack: React • FastAPI • PostgreSQL • Snapshot Engine
System Design Highlights
Focused on automated intelligence extraction from dynamic web content.
A developer productivity CLI tool for schema-driven dataset generation using LLM workflows.
Stack: Python • LLM APIs • CLI Automation
Capabilities
Distributed payment architecture with strong transactional guarantees.
Stack: Java • Spring Boot • PostgreSQL
Engineering Highlights
Designed to simulate production-grade financial backend behavior.
High-read performance backend optimized for feed delivery at scale.
Stack: Node.js • PostgreSQL • Redis
System Highlights
Built with scalability and cache efficiency in mind.
Backend Engineering • Distributed Systems • AI Infrastructure
Remote-first teams • UAE product companies