Are your APIs struggling under load? Are cloud bills creeping up? Are your deployments too slow and fragile?
If your engineering team is fighting infrastructure fires instead of shipping features, you are losing money and time. I fix that.
I help scaling SaaS companies and technical founders build high-concurrency backend systems, optimize Kubernetes deployments, and drop cloud infrastructure costs—without sacrificing security or performance.
Dhaka, Bangladesh | Open to Remote Consulting & Full-Time Roles
Portfolio & Case Studies | LinkedIn | Book an Architecture Audit
Battle-tested, benchmarked distributed systems engineered for extreme throughput, zero overselling, and cloud cost efficiency:
| System / Repository | Architecture & Core Tech | Verified Benchmark / Outcome | Live Repository |
|---|---|---|---|
🦀 rust-ecommerce-backend |
Axum 0.7, Tokio, SQLx, PostgreSQL row locks (FOR UPDATE), Redis pool |
8,420 RPS @ 3.82ms P95 latency · 0.00% inventory oversell | View Code → |
👟 Sneaker-Drop-System |
High-concurrency Go engine, Redis Lua atomic scripts, 60s TTL sweeps, WebSockets | 0.00% double-booking under 10k users · Zero race conditions (go test -race) |
View Code → |
☁️ K8s-Infra-Hardening |
Helm chart, Argo Rollouts canary GitOps, Kyverno zero-trust policies, Go Pod Hygiene CLI | 35% EC2 cluster node savings · Automated leak remediation | View Code → |
🧩 node-microservices-blueprint |
Decoupled Event-Carried State Transfer, RabbitMQ topic exchanges, isolated MongoDBs | 100% test coverage (48/48 Jest tests) · Zero synchronous coupling | View Code → |
🐇 rabbitmq-event-driven-architecture |
Progressive DLX retry topology (10s → 60s → poison DLQ), publisher confirms |
Guaranteed zero message loss under network partitions | View Code → |
Most scaling teams hit a wall with API latency, fragile CI/CD pipelines, or exploding cloud costs. I step in to build resilient, automated, and secure infrastructure.
I architect and optimize REST/gRPC APIs using Golang and Node.js (Express), specializing in dropping P95 latency and resolving database bottlenecks in PostgreSQL and MongoDB.
I design zero-downtime deployment environments using Kubernetes (K3s), Docker, and Nginx. I focus on high availability, disaster recovery, and infrastructure cost optimization.
I build secure, automated deployment pipelines using GitHub Actions, cutting down release times from hours to minutes while integrating strict container security (Trivy) and automated secrets management.
I integrate LLM capabilities and tool-enabled AI systems into production workflows to automate operational overhead and drive engineering efficiency.
- Core Backend: Golang, Node.js, Express.js, Microservices Architecture
- Infrastructure & Cloud: Kubernetes (K3s), Docker, Linux, Nginx, AWS/DigitalOcean
- Databases: PostgreSQL, MongoDB, Redis (Caching & Optimization)
- DevOps & Security: GitHub Actions, CI/CD, RBAC, Network Policies, Trivy
- Observability: Centralized Logging, Monitoring, Incident Response (SRE)
Team Lead — Infrastructure & Cloud @ Cansoft Technologies (Oct 2025 – Present)
- Lead the deployment of secure Kubernetes (K3s) environments across staging and production.
- Architected CI/CD pipelines with automated security scanning, drastically reducing manual deployment errors.
- Implemented strict RBAC and Network Policies to harden infrastructure security.
Backend Developer @ Digital Gregg (Jan 2025 – Sep 2025)
- Improved P95 API response times by 15% by implementing aggressive Redis caching strategies and MongoDB query optimization.
- Built automated CI/CD pipelines via GitHub Actions and Docker, accelerating feature delivery.
Freelance Backend Architect (Jan 2023 – Jul 2024)
- Delivered 15+ production-grade projects from architecture design to final deployment.
- Consistently improved system performance by up to 30% for clients through database tuning and architectural refactoring.
- The Problem: A high-traffic public health platform needed to guarantee uptime and fast load times during traffic spikes.
- The Solution: Optimized platform architecture for accessibility, speed, and reliable geolocation-based routing.
- The Problem: Colorado's intercity transit platform required a modern, performant, and SEO-optimized architecture.
- The Solution: Re-architected using Next.js and Docker, significantly boosting SEO rankings and platform reliability.
Are your APIs struggling under load? Are AWS bills creeping up? Are your deployments too slow? Let's fix it.