Real Systems. Real Scale. Real Outcomes.
A selection of systems I've built, fixed, and scaled — across backend architecture, cloud infrastructure, and AI systems.
Each project focuses on solving real business problems, not just writing code.
What You'll See Here
These are not demo projects.
Global Fintech Infrastructure
Monolithic system unable to handle growing transaction load.
Re-architected into microservices with optimized database and infra setup.
Handled 10k+ transactions/sec with zero downtime and improved system reliability.
AI-Powered CRM Ecosystem
Manual sales workflows limiting conversion rates.
Built custom LLM agents integrated into CRM workflows.
40% increase in lead conversion efficiency.
Enterprise E-Commerce Scaling
High latency during peak traffic affecting sales.
Optimized backend, caching, and infrastructure.
Reduced latency by 200ms and improved peak performance stability.
Scalable SaaS Multi-Tenant Platform
High infra costs and complexity in scaling individual tenant environments.
Hybrid data isolation model with automated serverless provisioning.
35% infra cost reduction and seamless scaling to 500+ enterprise tenants.
Real-Time Analytics & Event Pipeline
Hours of delay in reporting, preventing real-time business decisions.
Kafka-based streaming pipeline with ClickHouse for real-time OLAP.
Sub-second reporting latency and 50% reduction in data storage costs.
DevOps & Deployment Pipeline Overhaul
Fragile, manual deployments causing frequent production outages.
GitOps transformation with automated CI/CD and container orchestration.
70% reduction in deployment time and zero-downtime releases.
Legacy Monolith to Modular Architecture
High technical debt in monolith slowing down all development.
Incremental modernization using the Strangler Fig pattern.
40% reduction in bugs and doubled feature development speed.
AI-Based Document Processing System
Incredibly slow and error-prone manual document review at scale.
Multi-stage pipeline combining OCR, NLP classification, and LLM extraction.
90% faster processing and 80% reduction in manual review workload.
Scalable Real-Time Chat Infrastructure
WebSocket connection drops and high latency during spikes.
Distributed Elixir/Phoenix cluster with Redis Pub/Sub orchestration.
Handled 100k concurrent users with sub-100ms global latency.
Cloud Cost Optimization & Infra Cleanup
Uncontrolled, invisible cloud spend with significant waste.
Systematic FinOps audit with automated monitoring and rightsizing.
40% monthly cost savings with improved system performance.
How I Approach Systems
I don't approach projects as isolated tasks.
Designed for Scale
Systems that handle growth from day one.
Failure-First Thinking
Considering failure scenarios and building resilience.
Cost & Performance
Finding the sweet spot between cloud spend and speed.
Future Maintainability
Clean code and documentation for long-term ownership.
Experience Across Domains
Have a similar system challenge?
If you're dealing with scaling issues, technical debt, or building from scratch — I can help.
Best suited for founders and teams building serious products.
Backend Systems & Scalable Architecture Case Studies
These case studies reflect real-world experience in designing and scaling backend systems, cloud infrastructure, and AI-powered platforms.
From early-stage startups to growing systems handling real traffic — the focus is always on performance, reliability, and long-term scalable systems and system design.