Mingjia โ€˜Jackyโ€™ Guan

๐ŸŒŸ About Me

Hi, Iโ€™m Jacky. Iโ€™m a Machine Learning Engineer at Deledao and recently graduated from Fei Tian College - Middletown with a Bachelor of Science in Data Science, Magna Cum Laude.

I am passionate about technology, leveraging data-driven approaches to solve real-world problems, and continuously expanding my technical skill set. While I mainly focus on the engineering aspect of Machine Learning, Iโ€™m no stranger to DevOps, Full-Stack, and engineering.

Since Iโ€™m still early in my career, there is a lot to learn from the field. I will continue my education by pursuing a MS in Quantum Computing to stay ahead of the curve while striving to be a part in revolutionizing the K-12 Ed-Tech landscape with Machine Learning.

Howeverโ€ฆ

This is my website, so I will tell you more about myself. I believe in making the world a better place, something that always starts at the individual level.

Practicing Falun Dafa, an ancient spiritual practice rooted in Buddhism, has strengthened my resolve in doing what is right in the current state of affairs.

On a social level, Iโ€™ve written for the health department at The Epoch Times on topics such as immune exhaustion, soaring egg prices, and everything else in-between.

At the academic level, I enjoy helping peers and students with their work as a Teaching Assistent and drafting up lecture notes for the next batch of undergraduates. I was able to put my DevOps experience to good use at Sunregen Healthcare AG, contracting as a system administrator.

Stowe 2025

At the same time, Iโ€™ve been skiing since 2008 and run my own little channel where you can check out my videos.

๐Ÿ› ๏ธ Technical Aspects

Work nowadays is supercharged by AI. I use Perplexity to accelerate my workflow as it includes the latest models from ChatGPT, Claude, Deepseek, and Google Gemini I frequently browse Hugging Face for other models to tune and deploy. Using Arc has made tab management a breeze. I primarily work on AWS but have my fair share of experience on Google Cloud and am currently deploying this website using Netlify. While it is tempting to switch over to PyCharm or become a hardcore and use Neovim, Iโ€™m still more than happy with Visual Studio Code and the incredible compatibility it offers. Maybe I can try out Cursor or Windsurf to catch up to the hype train, but for now I will still try to be a traditional coder.

Technically speaking, Iโ€™m not experienced with anything special. You can see MySQL, Postgres, and SQLite, along with a bunch of methods and frameworks on there like Apache Spark, Matplotlib, NumPy, Pandas, Scikit-learn, using tools like Google Colab, workflows like ETL, and more. While I manage my tasks using Notion and making things on the side using Canva Iโ€™ve learned a lot using Coursera, freeCodeCamp, GeeksForGeeks, W3Schools, and have tried out the occasional competition on Kaggle.

If weโ€™re going back to the technical side of things, of course I use Docker and am intimidated by Kubernetes, but that is just the beginning of it. While I was never a huge fan of deploying websites with Next.js, React, TailwindCSS, Vite, Three.js, and NodeJS, frameworks like PyTorch and TensorFlow, or scraping the web with Selenium. Iโ€™m even thinking of writing a package and publishing it to PyPI. Of course, while macOS offers the best UI experience with good old Homebrew, I work mostly in Linux, staying close to traditional flavors like Ubuntu. In any case, something about Windows creeps me out.

At the core, I code mostly with Python. It is a good language, unlike R, and much preferred over, JavaScript (or TypeScript, since it is the way to go). Iโ€™m familiar with Bash, Java, and of couse a fair bit of Markdown and LaTeX to write those docs, but my goal is to learn Go to be much faster.

Of course, I use GitHub and Git, but not any of those common social media platforms like Instagram, Facebook, or X. While I have accounts there, you will barely see me posting anything in any case.

Please follow me on LinkedIn. Itโ€™s always intersting that even payment methods like Apple Pay, MasterCard, Visa, American Express, and PayPal all get their own badges. Iโ€™m a fan of Doordash, preferring it over Uber Eats and Just Eat, but thatโ€™s just my preference. These badges are fun to play around withโ€ฆ

๐Ÿ’ผ Experience

๐ŸŒ„ Machine Learning Engineer

Deledao Technologies | Jan 2025 โ€“ Today

  • Training, fine-tuning, and deploying a web classification model for the Chinese market.

๐Ÿšƒ CRM Data Engineer

Deledao Technologies | October 2024 โ€“ July 2025

  • Served as the CRM (HubSpot) admin, ensuring the system runs smoothly and meets the needs of the management and team members.
  • Automated data pipelines to streamline data engineering tasks and improve overall efficiency.

๐Ÿช‚ Teaching Assistant

Fei Tian College - Middletown | January 2024 โ€“ May 2025

  • Facilitated online student discussions and actively responded to inquiries on the discussion board.
  • Collaborated with professors and students in both introductory and advanced courses to enhance the learning experience, provide structured feedback on coursework, offer one-on-one tutoring, and support exam preparation.
  • Developed lecture materials, including slides and notes, using LaTeX and Quarto to improve content delivery and student comprehension.

๐Ÿ’ก Health Researcher + Writer

The Epoch Times | August 2022 โ€“ August 2023

  • Produced 30+ articles garnering 34,000+ social media shares, demonstrated expertise in creating engaging health content by conducting interviews and simplifying complex medical studies for a global audience.
  • Writer Profile

๐ŸŽ“ Education

๐Ÿ›๏ธ Fei Tian College - Middletown

BS in Data Science | GPA: 3.79, Magna Cum Laude
January 2023 โ€“ May 2025

Relevant Coursework:

  • Statistical Theory and Methods
  • Matrix Analysis
  • Data Mining
  • Data Structures/Algorithms
  • Statistical Computing/Graphics
  • Front-End + Software Development
  • Machine Learning and Artificial Intelligence
  • Database Systems
  • Cloud Computing
  • Big Data Engineering

๐Ÿš  University of Zurich

BS in Physics | Transferred Out
October 2022 โ€“ December 2022

Relevant Coursework:

  • Linear Algebra
  • Real/Complex Analysis

๐Ÿ”† Northern Academy

High School Diploma with Honors | GPA: 3.93
September 2019 โ€“ June 2022

  • National Honor Society
  • Student Council
  • Winter Sports Club

๐Ÿ† Awards and Certifications

๐Ÿš€ Projects

โš™๏ธ Machine Learning + Deep Learning

Chinese Language Website Classification Model (NLP)
Jan 2025 - Present

  • Enhanced accuracy of existing Chinese website classification model by collecting additional training data
  • Developed secondary classification model as additional detection layer to improve content filtering effectiveness

Deep Neural Networks Foundational Projects
Sep-Nov 2024

  • Built a DNN from scratch, implementing backpropagation, gradient descent, and optimization techniques (Adam, RMSprop)
  • Developed CNNs for image classification, neural style transfer, and vehicle detection in autonomous driving using transfer learning
  • Created RNN-based models for text generation and neural machine translation with attention mechanisms
  • Trained a transformer network for named entity recognition (NER) using state-of-the-art attention-based models

โš–๏ธ Recommendation Systems + Data Mining

Locality Sensitive Hashing (LSH) Recommendation System
May 2025 - Present

  • Implemented Python package for LSH-based recommendations supporting multiple vectorization algorithms (BERT, TF-IDF)
  • Integrated various hashing algorithms (MinHash, LSH) for efficient similarity detection

โ™ป๏ธ Statistical Analysis + Predictive Modeling

Avocado Price Predictions - USPROC Competition
Sep-Dec 2024

  • Designed statistical research project for prestigious American Statistical Association competition
  • Analyzed multi-year avocado market data (2015-2018) using advanced statistical methods
  • Implemented and evaluated multiple regression models (Lasso, Elastic-Net, Robust, Regression Tree) in R

Big Data EDA Projects using R
Sep-Dec 2023

  • Analyzed datasets with 5,000+ variables using R and Tidyverse libraries
  • Produced 5+ comprehensive EDA reports including General Social Survey analysis
  • Performed linear modeling and EDA on obesity dataset with 2100+ rows and 17 features

๐Ÿคฟ Data Engineering + Web Development

Data Engineering Capstone Project
Sep 2024

  • Designed and implemented data repositories, pipelines, and warehouses
  • Demonstrated proficiency with relational databases, NoSQL stores, and big data engines
  • Applied Linux shell scripting, SQL, and Python to data engineering problems

Front End Web Development Projects
Aug 2022-Dec 2023

  • Deployed multiple static sites using Netlify with React.js, TypeScript, and TailwindCSS
  • Built online library catalog with UAuth and MongoDB integration
  • Developed Apple Studio Display checkout page replica using React hooks

๐Ÿ›ฐ๏ธ Research + Specialized Projects

Statistics Lecture Notes Compilation
Jan-Dec 2024

  • Compiled comprehensive lecture notes for Statistical Theory and Methods (STA211)
  • Created documentation for Statistical Matrix Analysis (STA451) and Applied Linear Regression (STA311)

Earthquake Signal Precursor Detection
Oct 2019-Jun 2021

  • Implemented quad-sensor system for seismic event detection in San Francisco Bay Area
  • Identified anomalies linked to electromagnetic discharge events through data analysis
  • Collaborated on electromagnetic sensor code optimization

๐Ÿ“ง Contact