SAIL CH

Architected and built scalable machine learning pipelines in Python processing millions of data points daily for predictive analytics. Deployed and optimized ML models using AWS SageMaker and Kubernetes, reducing inference latency by 30% and lowering infrastructure costs.

Worked remotely with US-based clients, delivering enterprise-grade web solutions. Designed and deployed a Node.js-based data aggregation platform, boosting performance and cutting operational costs by 50%. Contributed to Web3 and SaaS solutions using Node.js, React, and Angular, implementing modular, scalable architectures. Built business logic and ERDs for complex workflows, ensuring maintainable backend architecture. Mentored team members in test-driven development (Jest, Mocha), problem-solving, and deployment best practices. Enhanced system security with JWT authentication, role-based access, and API rate limiting.

Designed recommendation engines using collaborative filtering and deep neural networks increasing user engagement by 20%. Built computer vision models using OpenCV and TensorFlow for automated property image processing and classification.