Vancouver, British Columbia, Canada
Currently, I'm focused on building AI agents with Autogen, leveraging cutting-edge technologies to transform how businesses operate. With over 10 years of experience in E-Commerce and robotics, I’ve helped organizations create scalable platforms that empower teams to work smarter, achieve greater efficiency, and drive faster innovation. I’m passionate about automating processes and enabling teams to achieve more with less effort, ultimately delivering tangible value and accelerating business growth.
Working on AI based Code Generation at enterprise scale code bases in MongoDB's App Modernization Platform group.
• Delivered 1000+ customer facing ML models/week by leading development of CI/CD/CT MLOps pipelines on AWS. • Developed sales estimator models using PyTorch, MLFlow, ECS, andSageMaker. • Enabled keyword search volume forecasting feature by training ML models in Darts library and deploying in AWS SageMaker. • Architected and lead the effort to migrate the workflows from a single account to Cross-Account resource provisioning model on AWS using CDK as Infrastructure as Code. • Reduced #ML models trained on bad data by adding automatic data quality monitoring using GreatExpectations. • Hired, trained, and managed a team of 10 data scientists and ML engineers. • Created tools to help Sales/CSM explain data science model outputs to customers.
• Enabled two-way communication with Autonomous Robots in intermittent connectivity environments by implementing a scalable event-driven serverless architecture as company’s IoT solution. • Helped the team to build proper CI/CD pipelines to build CPU and GPU enabled docker images for various software deployments on the fleet of robots
• Developed a price-based demand forecast model for price optimization using Python and Spark on Azure Databricks