- Developed personalized product tour system from scratch in AIQUA, promoting higher user retention rate and conversion- Eased user onboarding with new AIQUA features via product tour, resulted in 10% increase in feature adoption rate- Applied internal event tracking system on product tour, tracking user interaction with product tour to make data-driven business decisions- Composed Product Requirement Document and System Design for product tour with Jira and Confluence.- Engaged… Show more - Developed personalized product tour system from scratch in AIQUA, promoting higher user retention rate and conversion- Eased user onboarding with new AIQUA features via product tour, resulted in 10% increase in feature adoption rate- Applied internal event tracking system on product tour, tracking user interaction with product tour to make data-driven business decisions- Composed Product Requirement Document and System Design for product tour with Jira and Confluence.- Engaged in multiple cross-functional meetings with PM, PMM, and UX/UI teams during project development- Leveraged React, Redux, and styled-components for product tour UI- Designed product tour model with Django ORM, and performed migrations on Amazon RDS for MySQL- Deployed product tour onto staging and production environment via Jenkins Show less

• Engaged in software development life cycle, including project planning, customer requirement analysis, API design, documentation, QA, and maintenance• Exposed mathematical equations for calculating lifetime greenhouse gas (GHG) emissions of vehicles as API endpoints with Python FastAPI backend framework• Collaborated with research team to refine GHG models, ensuring improved scalable backend system for each scrum sprint• Consolidated documentation and related materials to… Show more • Engaged in software development life cycle, including project planning, customer requirement analysis, API design, documentation, QA, and maintenance• Exposed mathematical equations for calculating lifetime greenhouse gas (GHG) emissions of vehicles as API endpoints with Python FastAPI backend framework• Collaborated with research team to refine GHG models, ensuring improved scalable backend system for each scrum sprint• Consolidated documentation and related materials to facilitate communication within teams about code, research, and business needs experiment results, and spreading best practices•Integrated backend GHG APIs with frontend components, enabling seamless data exchange and display.•Identified strengths and weaknesses of GHG models by quantitative analysis of endpoints across fleet modes and lifecycles Show less

• Supervised a class of more than 30 students in conducting unit operations experiment• Identified issues within student work during experiment, fostering group discussions and encouraging brainstorming by asking questions• Reviewed experiment results and helped student analyze data• Discovered inefficiencies in workflow from experiment and suggested ways to reduce overall time by 20%