- Participating Customer Discovery Kickstart program of Project Olympus to formulate business model and pinpoint target stakeholders- Designing and developing innovative efficiency tools to help alleviate clinicians' burnouts from doing repeated administrative work

- Developing innovative cloud-based solutions, contributing to a project that merges data warehousing, big data platforms, and cloud elasticity, enhancing efficiency and reducing costs.- Enhancing software quality and efficiency in large distributed systems through the development of automation frameworks and infrastructure, focusing on functional performance and streamlined workflows.

• Working on Generative AI Innovation Incubator project • Evaluating LLM’s answerability to healthcare-related inquires, innovating new strategies for prompt optimization• Implemented inference server of LLaMA models for HPC cluster, implemented probability scoring function for input prompt• Mentored a series of Generative AI hackathons, offering strategic and technical assistance to teams

• Corporate with full-time frontend developer team and Lead a team of student frontend developers in developing MVP. • Scheduled to launch the MVP by June, 2021

Perform a cost/benefit analysis of Anomaly Detection over different baseline architectures, in order to integrate with the cost, power, and carbon telemetry work of AzureML. The goal is to help customers find the right tool for the job.

• Exploring the most important ecological factors that influence how families develop AI literacy.• Building Coraland, a web-based app teaching kids ML process through categorize coral images.• Developing and maintaining databases hosted on Amazon RDS to store workshop results.• Collected research data, preformed inductive data analysis, participated in research paper writing process.• Participated in designing workshops and leading online workshops with families.

• Design and develop a platform for college students to share guidance and resources through peer-mentorships.• Conducted market research and competitor analysis; Participated in drafting business proposal.• Conducted surveys and interviews to determine the core features for MVP.

• Engineered a data management system for a smart city platform, encapsulating functionalities for template management, including the creation, update, retrieval, and deletion of data templates, through RESTful endpoints• Designed and formulated an extensive database schema, and created an Entity Relationship Diagram (ERD) for over 300 tables to demonstrate intricate data relationships and dependencies• Trained and deployed face detection model based on YOLO v3 object detection system.• Trained and tested low-light image enhance model based on KinD++• Researched potential opportunities to integrate hyperspectral imaging with Infinova’s existing solutions.

• A virtual tech platform for tech students to connect with recruiters and progress with career goals.• Working as a data analyst to build potential data models and data visualizations.• Formulating Talent-Score module to quantify and evaluate students’ professional capacity. • Lead a team of data analysts to explore solutions on presenting the students' and recruiters' data.