About

I’m a current student pursuing a Master of Science in Computer Science at Northeastern University. I graduated from Washington State University with a double degree in Finance and Computer Sciences. After designing, constructing, and implementing my first web application project, I became interested in software development. I have complete several Software Engineer positions, also held a teaching assistant positions in Data Structures courses using C & C++, and participated in a deep learning-based vulnerability research program. My experience has challenged my self-learning, problem-solving, and logical thinking skills.

Languages

Java, C/C++, Python, JavaScript, TypeScript, Haskell, HTML5/CSS, SQL

Framework

React, Vue, Bootstrap, AngularJS, Spring, NodeJS, Express, Flask

Database

MySQL, NoSQL, MongoDB, SQLite, Firebase, Neo4j

Skills

Java

90%

C++

70%

React

80%

C

80%

HTML & CSS

90%

JavaScript

90%

Haskell

70%

Python

70%

Education

Master of Science in Computer Science

Sep 2023 - Dec 2025

  • CS 5010: Programing Design Paradigm
  • CS 5200: Database Management Systems
  • CS 5500: Software Engineering
  • CS 5520: Mobile Application Development
  • CS 5610: Web Development
  • CS 5800: Algorithms
  • CS 6620: Cloud Computing
  • CS 7180: Practical AI

Bachelor of Arts in Computer Science

Aug 2019 - May 2023

  • CPT_S 421: Software Design Project I
  • CPT_S 423: Software Design Project II
  • CPT_S 360: Systems Programming C/C++
  • CPT_S 327: Cyber Security
  • CPT_S 302: Pro Skills Computing Engineer
  • CPT_S 315: Data Mining
  • CPT_S 355: Programming Language Design
  • CPT_S 350: Design & Analysis Algorithms
  • CPT_S 322: Software Engineering I
  • CPT_S 317: Automata and Formal Languages
  • CPT_S 260: Computer Architecture
  • CPT_S 223: Advanced Data Structures C/C++
  • CPT_S 122: Data Structures C/C++
  • CPT_S 121: Progr Design & Develop C/C++
  • ENGR 401: Technology Ventures
  • ENGR 420: Multidisciplinary Engineering Design I
  • ENGR 421: Multidisciplinary Engineering Design II

Bachelor of Arts in Finance

Aug 2019 - May 2023

  • FIN 421: Financial Institut & Intermediate
  • FIN 425: International Financial Management
  • FIN 427: Real Estate
  • FIN 325: Financial Management
  • FIN 481: International Finance
  • ACCTG 230: Financial Accounting
  • ACCTG 231: Managerial Accounting
  • ACCTG 330: Intermediate Accounting
  • I_BUS 380: International Business
  • MIS 250: Managing IT
  • MKTG 360: Marketing
  • MGMT 491: Strategic Management
  • MGTOP 340: Operations Management

Work Experience

Amazon Robotics

Software Development Engineer Co-op Jan 2025 - Jun 2025

  • Implemented an end-to-end video segmentation tool based on AWS services to label robotic pick-and-place operations, which addressed the limitations of image tracking tools and generated high-quality datasets for model training to minimize key defects (e.g., missed picks, amnesties)
  • Built a two-stage annotation workflow (labeling and verification) using SNS-triggered Docker Lambda functions to automate labeling jobs creation in SageMaker Ground Truth, stored raw and processed videos in S3 ŸUtilized DynamoDB to track annotation metadata and status, cataloged those data with Glue and enabled complex SQL anaylsis via Athena for customer insights
  • Deployed SAM2 model on SageMaker with both synchronous endpoint for real-time inference and asynchronous endpoints for batch processing larger payloads (up to 1GB and one-hour processing time)
  • Generated UIs using SageMaker built-in services, which supported polygon drawing, real time video playback, and video quality adjusters
  • Established CloudWatch alarms across AWS services to ensure system reliability and observability; configured alerts for Lambda error, model execution runtime and backlog size thresholds

    • Card Zone

    Software Engineer Intern May 2024 - Sep 2024

  • Build a card trading web application to provide a platform for users to shop, bid and purchase in the card market
  • Architected and implemented the backend services using Spring Boot, Redis and Spring Security to manage card listing and user notifications, including API design, data encryptions, model abstractions
  • Integrated Ali cloud ECS(elastic container service) for OSS(object storage service) and SMS notifications for scalable and secure data handling with a high date delivery success rate of 99.99%
  • Designed RESTful APIs to manage calendar data for pre-sales and card details, collaborating with the UI team for front-end implementation using UniAPP and integrating business logic with the backend connected to a MySQL database
  • Conducted testing with JUnit and Mockito for application reliability, performance, and security, delivering a good user experience, ensure 90% plus code coverage

    • SCALE Pathway

    Software Engineer Intern Aug 2022 - May 2023

  • Developed a course planning cross-platform mobile application based on an existing web prototype, which facilities all student to construct and revise course schedules upon class availability and graduation requirements
  • Utilized React Native as the framework to implement front-end pages and components, completed UI/UX design with Figma for optimal user experience
  • Integrated with Firebase to secure user authentication, applied role-based access control for different users
  • Implemented back-end functionalities using Flask, used SQL-Alchemy for handling MySQL relational database, applied py2neo for Neo4j graph database to capture course dependencies for different degree plans
  • Improved efficiency in course selection, raise the graduation rate and reduce the workload for advisors, the application received an average score of 8.6/10 on the post testing survey

    • Alibaba

    Software Engineer Intern May 2021 - July 2021

  • Improved an Object Storage Service (OSS) based full-stack web application according to existing design and architecture, which was used for marketing team reports management as part of a team-level’s project
  • Utilized React for front-end UI, NodeJS for back-end development, and Ali NodeJS SDK for communicating with OSS and other Ali Cloud Services
  • Designed RESTful APIs to viewing, adding and deleting reports for users
  • Integrated existing user-based access control design to restrict user operations
  • Increased marketing team’s reports management efficiency by 80% comparing to previous manually check and download process

    • Army Educational Outreach Program

    Vulnerability Detection, Undergraduate Apprenticeship May 2022 - Aug 2022

  • Conducted research on Deep Learning based vulnerability programs that detects vulnerabilities and identifies their type in real world programs
  • Reproduced a newly published transformer-based vulnerability prediction program as a reference datapoint
  • Created a high-quality labeled dataset by modifying a toolkit for characterizing multi language software to automatically detect and collect vulnerability fixes
  • Implemented feature-based clustering to classify the Common Weakness Enumeration type of vulnerabilities, which achieved 88.6% recall rate, 67% accuracy rate and 0.763 F1 score

    • Contact

    Shoot Me An Email!

    Connect With Me!

    Check Out My Work