Utilized Amazon Web Services to enhance cloud computing processes for lesson monitoring.
Conducted regular script executions to assess website performance and identify issues.
Supported ongoing operation of cloud-based lessons by maintaining website uptime through proactive monitoring.
Instructor
Morrison mentors
Hempstead, NY
05.2023 - 06.2025
At Morrison Mentors, I'm a team lead who is currently assigned to teach students of all ages in STEM subjects. These include drone coding, 3D printing, aerospace, and computer hardware. More importantly, I am responsible for making the computer science/AI curriculum and teaching materials.
Housing Manager
ualbany residential life
Albany, NY
08.2024 - 08.2025
Handled daily operations by overseeing room assignments and maintenance requests submission.
Organized events that promoted community engagement and resident involvement.
Collaborated with other Housing Managers to improve overall living conditions.
Streamlined administrative tasks by overseeing their timely completion.
Facilitated community-building initiatives to strengthen resident connections.
Volunteer Firefighter
Lakeview fire department
West Hempstead, NY
12.2022 - Current
Serve community by effectively responding to various hazards alongside fellow department members using advanced training and equipment
Cryptogram Game (C): Designed and implemented an interactive cryptogram game featuring puzzle generation, user input handling, state updates, and a modular game loop architecture to model real-world software lifecycles.
Tran Programming Language (Java): Designed and implemented a custom programming language from scratch, including a lexer for tokenization, a parser for building abstract syntax trees (ASTs) with recursive descent parsing, and an interpreter to execute statements and expressions.
Zleek Small Language Model (AI/ML): Developed a domain-specific small language model (SLM) for the Oil & Gas procure-to-pay process as a Capstone project. Implemented lexer and parser components for domain-specific input, optimized performance using quantization, distillation, and fine-tuning, and deployed securely on UAlbany GPU servers . Designed data pipeline combining real enterprise data (~10k rows) with synthetic datasets, ensuring low latency, scalability, and private in-house deployment.