Gnanadeep Ch

Background

About Gnanadeep Ch

As a Machine Learning Software Engineer and Full-Stack Developer with over 4 years of experience, I thrive at the intersection of cutting-edge technology and impactful solutions. I specialize in building scalable machine learning pipelines, deploying robust CI/CD workflows, and optimizing end-to-end data processes to drive meaningful outcomes. At the Department of Human Services, I engineered ETL and ML pipelines in Python that transformed diverse datasets into actionable insights, improving the lives of vulnerable populations. I’ve leveraged advanced tools like XGBoost, SHAP, and LIME to build explainable AI models, enabling stakeholders to trust and act on predictions confidently. Previously at Amazon, I delivered seamless front-end and back-end solutions, enhancing the performance and reliability of the Amazon Checkout system. From modernizing legacy codebases to deploying scalable services with Docker and Kubernetes, I’ve consistently driven innovation and efficiency. Beyond my technical expertise, I am passionate about mentoring, conducting cross-team code reviews, and fostering collaboration to elevate team performance. My skill set spans Python, React, Docker, AWS, SQL, and DevOps tools, making me adept at navigating complex challenges across domains. Whether creating scalable architectures or solving intricate data problems, I aim to make a tangible difference through innovation, precision, and teamwork. Let’s connect to discuss how I can bring value to your team or organization!