Full Stack Developer building distributed systems in Go
Currently at Appifylab | Open source contributor | Self-taught software engineer
Distributed object storage system written in Go. Handles large-scale blob storage with replication, erasure coding, and S3-compatible APIs.
Tech: Go, gRPC, Consistent Hashing, Erasure Coding
Status: Active development
Open-source analytics and workflow automation platform. Real-time event processing with visual workflow builder.
Tech: Go, MongoDB, TimescaleDB, Redis, Microservices
Features: Event ingestion, analytics dashboard, workflow engine, funnel tracking
High-performance distributed data platform combining key-value store, message queue, and stream processing.
Tech: Go, BadgerDB, Raft Consensus, Binary Protocol
Performance: Benchmarked on local machine with synthetic workloads for development testing
Clustering library for building fault-tolerant Go applications. Provides node discovery, health checks, and automatic failover.
Tech: Go, Gossip Protocol, Memberlist
Full Stack Developer @ Appifylab 5 Jan 2026 β Present
Building web applications with React, Next.js, Node.js and Go
Software Engineer @ Techforing Ltd Aug 2024 β Jan 2026
- Improved HRMS application performance by 20% through code splitting and React Query caching
- Built RESTful APIs in Go for internal tools
- Increased organic traffic by 10% through SEO optimization
- Mentored junior developers on React patterns and performance
Primary: Go, JavaScript/TypeScript, React, Next.js
Backend: Node.js, Gin, Fiber, PostgreSQL, MongoDB, Redis
Infrastructure: Docker, Git, Linux, AWS basics
Learning: Distributed systems, Raft consensus, System design
- Advanced distributed systems patterns (consensus, replication, partitioning)
- System design for large-scale applications
- Database internals and storage engines
- Performance optimization and benchmarking
- LinkedIn: sk-shohag-miah
- Email: [email protected]
- Looking for: Open source collaboration, distributed systems projects, technical discussions
Self-taught engineer focused on building robust, scalable systems. All projects are works in progress and learning experiments.

