About me

I am Judson Feng, a dedicated Informatics graduate student at Cornell University, based in New York.
My expertise spans data analysis, machine learning, and artificial intelligence.

I thrive on turning complex problems into streamlined, data-driven solutions. My journey in AI has been marked by a commitment to excellence and a drive to make a meaningful impact.

What i'm doing

  • design icon

    Frontend Design

    I create innovative designs for websites and applications.

  • Web development icon

    Full-Stack Engineer

    I keep doing high-quality full-stack development of sites.

  • mobile app icon

    ML & NLP

    I build ML model pipelines & play with LLMs.

  • camera icon

    Model Building

    I make multiple statistical models.

Testimonials

  • Ji Zhu

    Roger from Tencent

    Judson Feng is a excellent intern. His exceptional coding abilities, innovative problem-solving skills, and attention to detail have been shown in our product quality.

  • 肖渊

    Elaine Xiao from Tencent

    Judson's deep understanding of software development and methodologies, along with his collaborative spirit, significantly improved our operational efficiency.

  • 张莉

    Li Zhang from Cornell

    Judson Feng’s expertise in full-stack development has been invaluable.

  • 白志壮

    Zhizhuang Bai from R&S

    Judson Feng is a fantastic builder and a great team player. His contributions to our projects have been outstanding.

李明
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李明

Judson Feng was brought on as our lead software engineer. His exceptional coding abilities, innovative problem-solving skills, and meticulous attention to detail have streamlined our development process and greatly enhanced our product quality.

李明
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Ming Li

Judson Feng was brought on as our lead software engineer. His exceptional coding abilities, innovative problem-solving skills, and meticulous attention to detail have streamlined our development process and greatly enhanced our product quality.

Worked & Studied

Resume

EDUCATION

  1. Cornell University

    Aug 2025 (Exp.)

    Master of Science in Informatics(AI track) | GPA: 4.0/4.0
    Course Highlights: Artificial Intelligence, Natural Language Processing

  2. University of Michigan – Ann Arbor

    Aug 2020 – May 2024

    Bachelor of Science in Statistics | Major GPA: 4.0/4.0
    Course Highlights: Artificial Intelligence, Data Mining, Data Structures, Machine Learning, Linear Algebra, Probabilities

PROFESSIONAL EXPERIENCE

  1. Rhode & Schwarz Inc.

    Jul 2024 – Aug 2024

    Software Engineer Intern
    - Engineered a distributed web crawler using Python, Selenium, Scrapy, and Docker to automate extraction of 2k/hour dynamic conference records from JavaScript-heavy sites, accelerating daily reporting workflows by 2x.
    - Designed end-to-end ETL pipelines with Python, Redis and PostgreSQL, optimizing data transformation, deduplication, and storage for 30% faster analytics-ready dataset generation.
    - Implemented automated testing (pytest) with 85% coverage and conducted occasional refactoring alongside CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment cycles by 3x via parallelized Docker Compose containerization.

  2. Tencent Technology Ltd.

    Jul 2023 – Aug 2023

    Product Engineer Intern
    - Revamped app entry points using React and A/B testing (Optimizely), driving 1k+ net new DAUs and 4% conversion lift across 20000+ monthly active users.
    - Authored 4 PRDs with KPI-driven strategies for user retention, integrating Mixpanel analytics to track 12+ engagement metrics and prioritize high-impact backlog items for business objectives.
    - Optimized API latency by 15% using Redis caching and gRPC for real-time user segmentation across 5000+ profiles.
    - Automated KPI reporting with Python (PySpark) and Tableau, slashing manual analysis time by 20 hours/week while improving board meeting decision velocity.

SKILLS

  • Languages: Python, C++, JavaScript, Java (Spring Boot), SQL (PostgreSQL), R
    90%
  • Frameworks: React.js, Node.js (Express.js), Spring Boot
    85%
  • NLP: LangChain, ElasticSearch, Hybrid Search, ReAct, Prompt Engineering, Embeddings (Sentence-BERT/MPNet)
    80%
  • MLOps & DevOps: Docker, Nginx, Redis, GitHub Actions, GCP
    75%

Blog

Contact

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