I design and ship intelligent systems — multi-agent architectures, LLM-augmented platforms, and production backends that turn messy real-world problems into clean, scalable software.
I'm an AI/ML Engineer drawn to the hardest part of intelligent systems — making them reliable, reasoned, and useful in the real world. My work centers on agentic AI: systems that plan, use tools, and coordinate across multiple models to solve open-ended problems.
At OrangeBD, I moved from intern to trainee software engineer by shipping, not just studying — pairing strong backend fundamentals with applied machine learning to build things that hold up under production load.
I care about clarity over cleverness, ownership over hand-offs, and a growth mindset that treats every project as a chance to learn something I couldn't do yesterday. I want to build AI that organizations actually trust.
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