About Me

I am an experienced researcher and engineer specializing in machine learning, computational science, and security applications. With a background in computational chemistry and biophysics, I blend a deep understanding of scientific principles with cutting-edge technology to tackle complex challenges. I have worked extensively in AI, cloud infrastructure, and secure machine learning, driving impactful projects across sectors such as the financial industry, cybersecurity, and bioinformatics.

I am particularly passionate about applying machine learning to real-world problems, from developing scalable AI infrastructure to optimizing neural networks for deployment in resource-constrained environments. I have also contributed to open-source projects, focusing on the integration of reinforcement learning and retrieval-augmented generation (RAG) in small and large language model applications. I enjoy building secure and efficient solutions for threat detection in cybersecurity, with notable experience deploying large-scale inference models for enterprise security.

Throughout my career, I have been driven by a commitment to bridging the gap between research and practical implementation, making advanced AI and data science capabilities accessible to industry professionals.