Web Developer

Onsite: UM School for Environment and Sustainability

As a budding web developer, I have gained valuable experience in configuring cyberinfrastructure using AWS-EC2, including databases, virtual machines, and web app servers. I am enthusiastic about building efficient back-end web architectures with technologies like R Shiny and React.js. While still developing my expertise, I also work to test and optimize website response times and resource usage. I am always motivated to expand my knowledge and skills in this field.

Research Assistant

UM Computational HCI Lab

Recently, I’ve been working to develop effective feature extraction functions as part of the preparation work for training and developing our ultimate ML models. I explored various handcrafted features that can be used to capture the unique characteristics of fatigability based on the current dataset (UM & WSU) - for example, activity fragmentation measures, circadian amplitude measures, and mean SVM.

Related Project Experience

Dive into my recent projects, where my skills as a CS student shine. Discover captivating UX designs, impressive software engineering feats, and innovative product creations. Witness the convergence of creativity and technical expertise in a compact showcase of my academic journey.

Interactive Ad Posting WebSite

  • Accomplished a classified ad web application utilizing Django framework and a backend database, showcasing expertise in full-stack development and proficient database management.
  • Successfully implemented social login integration utilizing industry-standard authentication protocols, integrating GitHub accounts seamlessly to enhance user experience and security.
  • Shoecased strong technical skills in back-end development to introduce essential features, including image uploading, a comment system, and a favoriting capability, enhancing user engagement and interactivity on the platform.

  • Campus Wayfinding UX Case Study

  • Skilled in designing and implementing quantitative research methodologies, such as survey design with screener questions, to gather user insights and feedback on the app's usability and functionality.

  • Experienced in creating user personas, affinity diagrams, and user journey maps based on research data and survey results, enhancing the team's understanding of target users, informing user-centered design decisions, and identifying pain points and opportunities for optimization.
  • Machine Learning Course Projects

  • Designed a convolutional neural network with 80% accuracy to determine dog breeds based on images.

  • Applied transfer learning and data augmentation on two different models to observe the change in AUROC and accuracy scores; Explored the connection between the number of frozen layers and its resulting AUROC performance, reached a conclusion that fine-tune FC layer has the best TEST score while its TRAIN and VAL scores are lower from the aspect of AUROC.

  • Battling Imposter Syndrome @ Google

  • Built a full stack web application using a range of Google Cloud Platform APIs: App Engine, Natural Language, and Datestore, to provide guidance for target users with imposter syndrome.

  • Developed comprehensive solutions using Java, JavaScript, HTML, and CSS to deliver tailored support and assistance, spanning both frontend and backend components.

  • Job Seeking Platform - Feebackly

  • Collaborated closely with the product team to conceptualize and design an intuitive and user-friendly platform that will offer paid access to personalized, comprehensive feedback from experienced recruiters.

  • Incorporated cutting-edge technology, including the potential integration of ChatGPT 3.5, to enhance the depth and quality of feedback provided to users, maximizing the value of their investment.
  • BackEnd: Dynamic Library Hub

  • Implemented a robust rental system by leveraging Django's ORM (Object-Relational Mapping) for seamless integration with the backend database, ensuring reliable tracking of book rentals and maintaining data integrity.

  • Developed the feature of real-time availability checks, providing users with immediate information on book availability and rental status through the website's interactive functionalities.