Work Experience
I realize my interest in machine learning later in my career and now seek to contribute my exp and knowledge to help make the world a better place.
Summary
Yen Trinh
As a seasoned engineer with a strong educational background in Computer Science and Business Analytics, I am confident in my ability to excel in data-driven role and backend side. My expertise in Algorithms, combined with my agility as a quick learner, enables me to dive deep into new domains with minimal ramp-up time. Additionally, I have hands-on experience in popular tech frameworks such as AWS Services, Flask, Ruby on Rails, .NET, etc. Now, I am excited to bring my skills, experience and passion for tech to contribute to the professional workplace.
- Greater Seattle Area, US
- yentrinh.dev (at) gmail.com
- https://yentrinh.dev
Employment
Employment Hero
2016 - 2018
Full Stack Web Developer
- Designed and Implemented both sides of Front End and Back End
- Designed Database that enforced integrity and ensure scalability
- Troubleshot issues for various critical features, achieving high customer satisfaction
Main Techniques: Ruby on Rails, React.js
Criteo
2014 - 2016
Software Engineer
- Worked with stakeholders to collect tracking pixels and aggregate general analysis
- Developed internal tools for other engineers and analysts to extract insights from big database (billion of records)
- Applied algorithms to optimize computation time for migration
Main Techniques: .NET Framework, AngularJS
Recent Personal Projects
Stocky
A Stock Trading Assistant
Check out the app demo: Stocky
- Developed a sophisticated stock trading assistant that provides users with real-time stock quotes and the latest company news.
- Implemented elastic search functionality for efficient retrieval of company names and ticker symbols.
- Designed an intuitive user interface, featuring both Dark and Light modes for enhanced user experience.
- Crafted a maintainable and scalable codebase architecture to ensure future expansion and adaptability.
Key Technologies: Large Language Models, Small Language Models, Natural Language Understanding, AWS, Python, React.
Virtual Me
Virtual Me is my innovative chatbot that efficiently handles inquiries about me, providing information on my professional profile.
Experience the app demo: Virtual Me
- Developed a cutting-edge Virtual Me chatbot capable of representing my professional identity and responding to queries on my behalf.
- Explored and implemented various techniques for fine-tuning and retraining state-of-the-art language models.
- Utilized AWS Services to ensure smooth and reliable performance of the application.
Key Technologies: Large Language Models, AWS, Python, React.
AI Vacuum
A portion of the project demo here: AI Vacuum Simulation link
Designed and implemented efficient algorithms for the vacuum to collect dirt. Optimized traversed path and go home mode to save battery. Techniques: Informed Search, Rule-based programming, Bayesian Network, Natural Language Processing
Beer Recommendation
Designed and implemented two-way recommendation prototypes to suggest beers for a given customer and suggest customers for a given beer. Techniques: NLP, Matrix Factorization (SVD, SVD++, NMF), KNN, CoClustering.
Most Proud Of
ACM-ICPC
Our team achieved 3rd prize in the ACM-ICPC Vietnam National round.
Summa Cum Laude
I graduated Summa Cum Laude from VNUHCM - Ho Chi Minh City University of Science.
Scientific Research Contest for Students
We achieved 2nd prize with paper `Efficient search on encrypted data and applications`.
Education
Seattle University
2022 - Mar 2023
Master of Science in Business Analytics
Dean's list for five consecutive quarters
VNUHCM - Ho Chi Minh City University of Science
2010 - 2014
Bachelor of Science in Computer Science
Graduated Summa Cum Laude
Latest Certificate
Strength
My strength as a software engineer lies in my ability to quickly learn and adapt, strong problem-solving skills, proficiency in machine learning (especially NLP), and extensive knowledge of AWS services. I have a robust foundation in software development and am well-versed in both front-end and back-end web development technologies.
Skills
As a software engineer, I possess hands-on experience with various software development stacks. My skill set includes full-stack engineering, implementing algorithms for real production environments, and working with a range of AWS Services such as Elastic Beanstalk, Lambda, Cloudfront, API Gateway, Elastic Container Registry, and more. I also have extensive experience using Next.js/React.js and Bootstrap to facilitate front-end development, and Flask/Python and Ruby on Rails for back-end development. My area of expertise and interest within machine learning is Natural Language Processing and Recommendation. Below is a list of additional skills I have experience with.