I am a results-driven full-stack AI engineer with more than 3 years of experience building and scaling AI-native applications, distributed systems, and mobile platforms. I focus on turning complex technical requirements into high-performance products that improve user engagement and operational efficiency.
I have worked on protocol engineering, AI research tools, mobile-first consumer products, and developer tooling. My experience includes React, TypeScript, Node.js, Python, FastAPI, SwiftUI, React Native, and modern AI stacks such as Groq, OpenRouter, Tavily, LangChain, and OpenAI.
In my recent work, I engineered distributed AI coordination systems, built multi-modal research engines, and created a voice-controlled IDE that helps developers build applications faster. I enjoy solving hard technical problems involving low latency, automation, and scalable architecture.
I also have experience with product development and growth. I have helped launch AI-native products, improve workflows, and deliver measurable outcomes such as reduced research time, faster deployment cycles, and increased user engagement.
My background combines frontend engineering, backend systems, AI integration, and infrastructure. I am comfortable working across the full stack, from user interfaces and APIs to databases, deployment, and secure sandboxed environments.
I am based in Dhaka, Bangladesh, and I am continuing to build independent software products while applying my engineering skills to ambitious AI and full-stack projects.
Engineered a distributed AI coordination protocol using Node.js and TypeScript, reducing system overhead significantly while supporting 500+ autonomous agents. Eliminated race conditions, maintained deterministic decision outcomes, and developed a React visualizer for real-time monitoring.
Built an AI-native iOS platform in SwiftUI with Python, FastAPI, Groq, and Firebase. Implemented a matching system, a live photo collage feature, and cryptographic protections, while driving organic growth and user engagement.
Built a multi-modal AI research engine that processed large volumes of documents, improved research workflows, and created Python/FastAPI pipelines integrating Groq, Tavily, and Upstash with automated source attribution.
Created a voice-controlled IDE in React, integrated Monaco Editor and secure sandbox environments, and engineered a multi-agent LLM routing system for low-latency voice onboarding.
BBA
Discontinued to pursue software engineering and product development full time.
HSC
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