Self-taught Software Engineer with 2 years of experience building scalable distributed systems and microservices. Currently working at Techforing Ltd., where I've delivered 5+ production applications and improved system performance by 20%.

I'm passionate about creating high-performance, production-ready applications that solve real-world problems. From architecting microservices platforms to building distributed data systems, I thrive on tackling complex engineering challenges and contributing to open-source projects.

Currently focused on:

• 🏗️ Building Seentics – an open-source analytics and workflow automation platform processing 10K+ events/second
• 🔧 Developing Flin – a high-performance distributed data platform achieving 319K reads/sec
• 🧠 Mastering advanced system design and distributed systems architecture
• 📚 Solving 200+ LeetCode problems with focus on algorithms and data structures

Software Engineer @ Techforing Ltd. Aug 2024 – Present

• Delivered 5+ production applications (HRMS, Career Platform) using React and Next.js
• Improved HRMS performance by 20% through modularization, code splitting & React Query caching
• Increased organic traffic by 10% across 3 websites via SEO optimization & automated sitemap
• Redesigned RESTful APIs with Go, enhancing response efficiency and reducing payload sizes
• Mentored junior developers on UI performance optimization and clean code principles

Languages

Frontend

Backend

Databases & Caching

DevOps & Tools

Open-source website analytics and workflow automation platform

• Architected microservices platform with API Gateway, event ingestion & workflow automation services
• Built scalable infrastructure to process 10K+ events/second
• Developed real-time analytics engine, visual workflow builder, and conversion funnel tracking system
• Implemented Redis-based caching and queuing system, reducing API response times by 30%

Open-source high-performance distributed data platform

• Built unified platform combining KV store, message queue, stream processing, and document database
• Achieved 319K reads/sec and 151K writes/sec using Go and BadgerDB storage engine
• Implemented message queue with 100K ops/sec throughput, stream processing, and document DB
• Implemented distributed clustering with Raft consensus for automatic partitioning and replication
• Designed binary protocol & cluster-aware client SDKs for efficient communication across cluster nodes

Distributed system clustering library for building fault-tolerant applications

• Open-source clustering solution for distributed systems
• Enables automatic node discovery, health monitoring, and failover

Self-Taught Software Engineering 2023 – Present

• Solved over 200 LeetCode problems, emphasizing algorithms, data structures, and optimization
• Deep diving into distributed systems, microservices architecture, and system design patterns
• Built multiple production-grade open-source projects from scratch
• Continuously learning through building real-world applications and contributing to open source

• 🔥 Open-source distributed systems and high-performance applications
• 🏗️ Scalable microservices architecture projects
• 💡 System design challenges and innovative engineering solutions
• 🌍 SaaS platforms and workflow automation tools
• 📚 Technical content creation and knowledge sharing