Full-Stack Software Engineer.
Computer Scientist.
Intrigued in Artificial Intelligence, Data Structures & Algorithms, Cryptography, and Computer Science Theory.
BS Computer Science & Economics from RIT.
Location: Rochester, NY.
Python, C#, JavaScript, SQL, Java, ASP.NET, React
SQL Server, PostgreSQL, DynamoDB, MongoDB
Amazon Web Services, Cloudflare, Git, Subversion, Linux, DataDog, Docker
MATLAB, RStudio, Excel, Word, Powerpoint, Problem Solving, Analysis, Communication, Statistics, Individual Contribution, Teamwork
BS Computer Science & Economics
Honors: Summa Cum Laude (GPA: 3.95/4.00)
After graduating from RIT in December 2024, I joined Frontier Science as a Software Engineer. My primary focus was enhancing the Web LDMS laboratory information management system, which supports over 800 labs globally. I contributed by developing much requested features and resolving critical defects to improve system reliability and functionality in an ASP.NET MVC application using C#, JavaScript, and SQL.
I received the prestigious
DAAD RISE Germany Scholarship, awarded to 320 students out of 2358 applicants in 2024, that
fully funds the summer research at a German University.
I researched explainable AI alongside my PhD candidate supervisor
Christian Sieberichs. I developed and tested different methods for
dimensionality reduction, such as autoencoders, PCA, UMAP, etc. I
also built an interactive comparison suite for different methods,
and ultimately discovered PCA to be the most performant method for
dimensionality reduction for my supervisor's data quality
assurance tool
ECS.
Articles:
RIT News
After a very successful first co-op with Amplify, I decided to return for a second co-op to master the technologies used here and learn from the pros. This time, I joined a different team where I headed the implementation of the experience API (xAPI) into the mCLASS assessment suite to collect and analyze the user experience on the platform. I also studied and optimized many DataDog monitors along the associated PagerDuty alarms to mitigate alert fatigue, reducing risk of false positives.
Included in the RIT Honors Program is the Honors Council that assembles delegates from all colleges. I served as the delegate for my college, the Golisano College of Computing and Information Sciences, which encompasses the majors Computer Science, Software Engineering, Cybersecurity, and Game Design. I facilitated discussions with professors to explore cooperative opportunities with the Honors Program and collaborated with the GCCIS advocate to organize both recreational and academic activities for students. Additionally, I actively participated in regular Honors Council meetings, contributing to event planning and addressing concerns within the program.
I became a Software Engineer at Amplify for my first co-op, where I extensively coded in Python and JavaScript in React and utilized a multitude of AWS products, such as Lambdas, CodeDeploy, S3, IAM, and more, to complete my tasks. I also studied GraphQL extensively and its feasibility to implement to consolidate multiple legacy data sources into a queryable data repository.
I was impressed by my Orientation Leader when I first came to the RIT campus that as a CS student, he was doing all sorts of extracurricular activities, and I wanted to try becoming one as well. So, I did for the incoming class of 2025. I led parent-attended student activities, trainings, and events for a group of 30 students, helping students foster connections, acclimate to the college life, and understand the resources available to them.
What started as a grading job in my second semester for the first introductory Computer Science course CS 1 at RIT turned into a career of amateur pedagogy. In a few different official titles, I assisted many Computer Science professors in lab sessions and grading assignments as a Student Lab Instructor and provided guidance and mentoring in the tutoring center as a Tutor.
Reach out to collaborate, check out my code, or send me a message for any reason.
Email: anh.lh.nguyen42@gmail.com
LinkedIn: in/anhnlh
GitHub: anhnlh