Abby Seseri
M.S. in Computer Science at UCLA
M.S. in Computer Science at UCLA
I'm currently getting my M.S. in Computer Science at UCLA, and I have a passion for building complete, data-driven applications. My experience ranges from developing full-stack systems and secure networking protocols to implementing deep learning models. In my free time, I combine my love for sports and tech by working on projects like my WNBA analytics platform, but I also enjoy going outdoors to hike or spend time on the beach.
Master of Science | 2025-2026 (Expected)
Major: Computer Science
Relevant Courses: Big Data Analytics, Neural Signal Processing, Advanced Software Engineering
Bachelor's Degree | 2022-2025
Major: Computer Science
Awards: Dean's Honors List (Winter 2023, Spring 2023)
Relevant Courses: Machine Learning, Advanced Neural Networks & Deep Learning, Data Science, Artificial Intelligence, Data Mining, Data Management Systems, Operating Systems, Algorithms & Complexity, Web Applications, Computer Networks, Software Engineering
Community College Credits | 2018-2022
High School Degree | 2018-2022
Awards: Summa Cum Laude
UCLA Computer Science Department | Fall 2025
Leading weekly lab sections for the Digital Design Laboratory course. Mentoring teams of students on digital logic concepts and hardware description with Verilog. Grading lab assignments and providing constructive feedback to help students master the material.
Data Annotation | Summer 2024
Enhanced large language models (LLMs) using Reinforcement Learning from Human Feedback (RLHF). Evaluated model outputs for safety, accuracy, and adherence to complex guidelines, and performed quality assurance on the work of other analysts.
Member & Tutor | 2023-2025
Inducted into the international honor society for computing, open to the top third of CS students. Provide tutoring and mentorship to peers in foundational computer science courses.
Built a full-stack WNBA analytics platform featuring a custom Scikit-learn model to find statistically similar players. The entire application is containerized with Docker and includes a CI/CD pipeline with GitHub Actions for automated testing.
Developed an LSTM-based deep learning model to predict keyboard strokes from sEMG muscle signals. Experimented with various RNN architectures and preprocessing techniques to improve Character Error Rate (CER) by 7%.
Developed a personal website that is hosted on github pages using html, css, and javascript.
Developed a reliable, encrypted bidirectional data transfer protocol over UDP. Implemented AES-256 encryption, HMAC for authentication, and ECDSA/Diffie-Hellman for secure key exchange. Ensured data integrity and confidentiality using TLS-like handshakes and cryptographic standards.
Created an interpreter for a language called Brewin supporting typical arithmetic and comparison operators, dynamically-scoped variables, first-class functions, lambdas, pass-by-reference and pass-by-value, limited type coercions, objects and all operations on objects, and prototypal inheritance using an abstract syntax tree
Constructed a 2-player game where characters and 2 enemy types move along a 16x16 grid following different algorithms and possess states depending on 6 square types on the grid, competing for the most coins in 1 minute