Computer Science - Cloud & DevOps - Health Data Systems - Emerging LLMOps
I am a Computer Science PhD student at Georgia State University working at the intersection of cloud infrastructure, DevOps, bioinformatics, public health data, and research software. My current focus is strengthening production-minded skills in AWS, CI/CD, monitoring, deployment automation, and practical RAG and LLM evaluation workflows.
About
My work connects computer science research with the practical side of building and operating technical systems. I work with Python, cloud services, data workflows, and reproducible analysis pipelines, and I am developing deeper skills in infrastructure as code, CI/CD, monitoring, and deployment reliability.
I am currently pursuing a PhD in Computer Science with a bioinformatics concentration at Georgia State University. Earlier, I earned bachelor's and master's degrees in Chemistry, which support my ability to work across scientific, data, and software contexts.
AWS infrastructure, Terraform, CloudFormation, Docker, GitHub Actions, Linux, and operational documentation.
Bioinformatics workflows, genomic surveillance, epidemiological datasets, reproducible analysis, and technical writing.
RAG systems, orchestration patterns, evaluation workflows, and practical integration of LLM tools into reliable software.
Projects
Cloud / DevOps
Built and deployed a cloud-hosted web platform to help research users interact with biological data and sequence extraction workflows without manual setup.
Cloud / DevOps
Created reusable infrastructure patterns for AWS environments, with attention to provisioning, access controls, logging, and deployment repeatability.
NIH / AIM-AHEAD / N3C Health Data
Contributing to a fellowship project studying how pre-existing chronic conditions relate to severe maternal morbidity using national clinical cohort data.
Research Software
Developing computational approaches for modeling viral evolution, mutation linkage, and large-scale genomic surveillance datasets.
AI / LLM / RAG
Building a practical foundation in retrieval, prompt orchestration, evaluation, and deployment patterns for LLM-backed applications.
Academic Software
Applied computational methods to SARS-CoV-2, HIV, and public health datasets through collaborative research projects and publications.
Experience
2026 - Present
Remote research collaboration
Working with healthcare data in a secure research environment to support analysis of chronic conditions, maternal comorbidities, and severe maternal morbidity. Contributions include variable definition, analytic documentation, reproducible workflows, and collaboration with a cross-functional research team.
Sep 2025 - Nov 2025
Norfolk Southern Railway Corporation
Supported cloud application and API infrastructure teams through infrastructure automation, CI/CD troubleshooting, AWS monitoring, deployment support, security documentation, and operational notes for engineering teams.
2023 - Present
Georgia State University
Lead Python-focused laboratory sessions covering programming fundamentals, debugging, data structures, algorithms, and code quality. Develop exercises that help students reason through runtime errors, logic errors, and maintainable implementations.
2024 - 2025
Georgia State University
Supported courses including Principles of Computer Science, Theoretical Foundations of Computer Science, and Design and Analysis of Algorithms through instruction, grading, student support, and course logistics.
May 2023 - Mar 2025
Atlanta, GA
Designed and maintained AWS environments with attention to infrastructure as code, access controls, logging, cost awareness, deployment troubleshooting, and client-facing technical documentation.
Jul 2021 - Aug 2023
Georgia State University, College of Arts and Sciences
Coordinated general and organic chemistry teaching laboratories, prepared materials for lab instruction, maintained equipment and supplies, and supported faculty, graduate assistants, and undergraduate teaching teams.
Research
My research work is centered on computational biology, genomic epidemiology, viral evolution, and health data analysis.
View Google Scholar profile2026
Journal of Computational Biology. Work on modeling epistatic relationships in viral evolution.
2026
arXiv preprint. Collaborative work on compact representation for FASTQ data.
2025
Frontiers in Epidemiology. Collaborative work on epidemic history and phylodynamic analysis.
2022
PLOS Neglected Tropical Diseases. Contributed data analysis and predictive modeling support.
2021
Communications Medicine. Contributed genomic data analysis and transmission modeling support.
2020
Biochemical and Biophysical Research Communications. Developed and implemented machine learning models for host specificity prediction.
2021
Master's thesis connecting genomic epidemiology, incidence data, and SARS-CoV-2 transmission analysis.
Education & Certifications
2023 - Present
PhD, Computer Science
2019 - 2021
MS, Chemistry. Thesis work connected genomic epidemiology, SARS-CoV-2 transmission, and computational analysis.
2010 - 2015
BS, Chemistry.
AWS Certified Solutions Architect - Associate, earned previously and expired July 2025.
Preparing for AWS Certified DevOps Engineer - Professional.
Contact
I am based in Atlanta and welcome conversations about internships, cloud engineering roles, research collaborations, and technical projects that need careful implementation.