Building backend systems that don’t break under pressure.
From real-time WebSocket streaming to high-throughput payment processing, I design systems that handle scale, reliability, and performance.
Recently worked on:
• Real-time data streaming systems
• Event-driven architectures (Kafka, RabbitMQ)
• Banking integrations & high-volume transaction processing
I focus on low latency, resilience, and systems that scale under load.
If you're building systems that need to perform reliably at scale, let’s connect.
I build scalable web applications, SaaS platforms, mobile apps, custom dashboards, and AI-powered automation systems that turn complex business workflows into reliable digital products.
My core stack includes Next.js, React, Node.js, NestJS, Python, PostgreSQL, MongoDB, and AI APIs.
I specialize in turning ideas into production-ready systems—from architecture and development to deployment, automation, and optimization.
Available for:
AI Automation • SaaS Development • Web Development • Mobile Apps • Custom Dashboards • API Development • Business Automation
Can you answer these 5 system design questions in 30 seconds each? ⏱️
Out loud, while an interviewer is watching 👇
1️⃣ 1,000 requests hit one expired cache key at the same moment. How do you protect the database?
2️⃣ You add 1 node to a 3-node cache using key mod N. Roughly how many keys move?
3️⃣ 3 partitions, 4 consumers in one Kafka group. What does the 4th consumer do?
4️⃣ 3 service layers each retry 3 times. How much traffic hits the failing service?
5️⃣ A client retries a payment with the same idempotency key but a different amount. 200, 409 or 422?
If you hesitated on even one, you're not alone. Most engineers know these topics. The hard part is explaining the trade-off clearly, saying when not to use it, and surviving the follow-up.
That's why I built the System Design Interview Crack Sheet 📘
✅ 49 concepts, one page each
✅ 98 interviewer questions with ready 30-second answers
✅ 49 colour-coded diagrams that show the real mechanism
✅ Use when / avoid when / how it fails, for every concept
✅ 49 follow-up questions interviewers use to dig deeper
✅ Decision matrix, acronym glossary and a clickable revision map
Covers caching, sharding, consistent hashing, replication, Kafka, sagas, outbox & CDC, CAP & PACELC, consensus, idempotency, rate limiting, circuit breakers, multi-region & DR, and more.
🎯 Made for backend, SDE-2, senior and staff interviews
⚡ 64-page PDF · instant download · free updates
Combining ordering, fulfilment and dispatch in one app probably trims a lot of manual steps. Laravel APIs feeding Vue TypeScript dashboards keep the data moving smoothly across customers, merchants and riders.