I am an AI/ML Developer with over 3 years of experience building intelligent solutions that bridge advanced research with real-world applications. My background spans machine learning, large language models, blockchain, and full-stack development, giving me a unique ability to deliver end-to-end products — from data pipelines and model design to scalable deployment.
Most recently at SQOIN, I was responsible for the development of an AI-powered platform that reduced deployment time from days to minutes by orchestrating LLMs, backend APIs, and containerized infrastructure. This project showcased my ability to combine innovation with practical engineering, delivering impactful solutions at scale.
Previously, I worked on predictive analytics, reinforcement learning for trading, and blockchain smart contracts, where I achieved measurable outcomes such as improving forecast accuracy, reducing data preparation time, and optimizing gas costs on Ethereum smart contracts.
What makes me stand out is not only my technical versatility spanning AI/ML, data science, and blockchain, but also my drive to innovate, adapt quickly, and transform complex ideas into production-ready systems.
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