About Me

I am a results-driven AI/ML Engineer with proven expertise in ML, data analysis, and full-stack development. I've successfully led AI-powered healthcare systems development and implemented RAG-based supplier intelligence solutions using agile methodologies and containerization with Docker. My Automation Engineering background, coupled with extensive experience in developing and deploying ML models in containerized environments, enables me to tackle complex machine learning projects effectively. I specialize in data preprocessing, feature engineering, and building scalable ML pipelines while fostering strong collaboration with cross-functional teams in agile environments.

A key achievement was developing a web search engine that enriches company public information, significantly enhancing our clients' business intelligence capabilities. I've also led the implementation of a robust microservices architecture using FastAPI, integrating cutting-edge models like Google's Gemini. My work directly contributes to CalculumAI's mission of revolutionizing financial processes through AI, impacting how our clients manage their supply chain finances.

Proficient in Python, Docker, and various ML libraries, I have consistently delivered production-ready machine learning solutions following agile best practices.

Academic Background

One of my notable academic achievements includes a project where I applied PyTorch, a Python framework, to detect lung nodules in X-rays. This experience reflects my dedication to leveraging cutting-edge technologies to solve real-world challenges. 🎓🌍

Let's Connect

I am passionate about collaborating on innovative projects. Let's connect to explore how my expertise can add value to your endeavors. Whether you're seeking top-notch UI design, cloud application development, or a blend of both, I am eager to contribute to the success of your projects! 🤝🎉