Washington DC-Baltimore Area
I graduated from the University of Maryland, College Park in May 2023 with a dual degree in Computer Science: Machine Learning and Applied Mathematics. I was an Undergraduate Teaching Assistant for Algorithms, Object-Oriented Programming I & II (Java), Introduction to Computer Systems (C Programming), Algorithms, and Calculus I & II. On campus, I was part of the Honors College, specifically a program specialized in cybersecurity, and in the Quality Enhancement Systems and Teams (QUEST) Honors Program.
• Serve as Teaching Assistant for Object-Oriented Programming I & II, Introduction to Computer Systems • Implement and grade Java and C programming projects, quizzes, and exams • Assist students in developing and debugging their programming projects and exercises
• Teach discussion sections and provide small-group instruction to students in Calculus I & II • Act as liaison between students and teaching staff, grading and giving feedback on student work • Host weekly Zoom sessions to review lecture material and answer homework questions
• Grade Calculus III homework, MATLAB projects, and exams for 25 students in timely manner following professor’s guidelines • Host two one-hour Zoom sessions each week to review lecture material and homework questions
• Built, tested, and deployed a code review analyzer in Java for hundreds of AWS Commerce Platform engineers using fully Native AWS infrastructure to detect hard-coded tokens • Spearheaded the first team project to prevent of future instances of hard coding, centralize legal configurations, and accelerate the launch of legal entities that buy and sell AWS products • Utilized the AWS Cloud Development Kit with Typescript to link Amazon Simple Notification Service notifications, Amazon Simple Queue Service queue, Amazon ElastiCache, AWS Lambda, AWS AppConfig, and Amazon VPC • Engaged and communicated with various security teams and protocols to grant analyzer access to internal services
Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics • Develop Python and R scripts to perform computational analysis of genome-wide association studies (GWAS) of 13,500 cases of bladder cancer, 342,600 controls, and 9,300 single nucleotide polymorphisms in 7 genomic regions • Present a scientific poster assessing the effectiveness of GWAS algorithms to the NIH community • Collaborate with Principal Investigator and Postdoctoral Fellow to design simulations that identify factors and optimal conditions under which software packages produce consistent results, leading to a technical paper • Analyze COVID-19 genetic data that contributed to the publication of a research paper detailing the role of the protein coding OAS1 gene in the risk of severe COVID-19