Utilized Triton, vllm, TensorRT, and ONNX for efficient LLM model serving, optimizing performance.

Implemented generative image editing techniques to directly impact e-commerce, improving user engagement.

Led the broadening of Retool's source control integration, incorporating all key management providers: GitHub, GitLab, Bitbucket, Azure Repos, and AWS CodeCommit. This unlocked many business opportunities by enhancing platform versatility and compatibility.

Refined the Retool platform by embedding source control functionalities, ensuring extensive support across the platform's elements, creating an developer friendly environment.

Created an innovative customer app replay flow, significantly improving the customer support journey by enabling more efficient and effective resolution of user inquiries and issues. Saving hundreds of hours of support time and improved root cause identification from multiple days to minutes.

Analyzing product business needs and developing scalable solutions

Designing and implementing machine learning pipelines, and training models to improve user experience and drive product growth

Working cross-functionally with data scientists and program managers to understand and deploy machine learning models

Leading project technical roadmaps, balancing short and long-term technology investments, and delegating tasks to team members

Mentoring and training team members on design techniques, modeling standards, and project directions

Design frontend/backend systems and components with performance in mind that enable positive user experiences and measurable business growth

Design RESTful APIs that's part of https://developers.google.com/my-business/reference/rest and complies with https://google.aip.dev/ standard

Build and use tools and instrumentation to help monitor and analyze performance

Coordinate with product managers in all part of the product life cycle