MS in Computer Science · Artificial Intelligence
Georgia Institute of Technology
Expected December 2026
Human-centered AI & NLP for assistive communication
I am pursuing an MS in Computer Science at Georgia Tech, specializing in Artificial Intelligence. My research interests focus on how language technologies and interactive systems can support communication, accessibility, and user agency.
My professional background spans software development and solution architecture in telecommunications and financial services, including roles at Charter Communications, Credit Suisse, and Amdocs.
Topics: Human-centered AI, natural language processing, silent speech interfaces, accessible workplace communication, voice identity, and user agency.
I am interested in how AI-assisted communication can preserve a person’s intended meaning, support participation in professional settings, and give users control over personalized synthetic voices. These questions describe the research directions I hope to pursue.
Exploring expression, intended meaning, and control through assistive interfaces.
Read the proposalComparing models, optimization, and representation learning on Covertype data.
Explore the experimentDeveloping research questions through proposals, literature review, and collaboration.
A proposal pairing acoustic-sensing eyewear with LLM-enhanced vocal re-synthesis for assistive workplace communication. Research questions address technical information exchange, perceptions of professional authority and communicative competence, and voice identity.
I performed literature review and contributed to group discussions, IRB document preparation, and research-participant mock interviews for a doctoral student’s project. Mentor and further study details await confirmation and public-disclosure clearance.
An interdisciplinary literature synthesis on how AI-mediated translation and summarization may reshape second-language representations. I examined cognitive load, lexical encoding, receptive–productive competence asymmetries, and neuroplasticity, and developed recommendations balancing AI assistance with cognitively demanding learning activities. The full report is forthcoming.
Computational work, applied analysis, and systems planning.
Benchmarked Decision Trees, kNN, SVMs, and neural networks on a stratified 20,000-record Covertype sample. The project also examined optimization, regularization, clustering, and dimensionality reduction. Adam test Macro-F1 increased from 0.6193 to 0.6710 with label smoothing, as reported in my CV.
A CSE 6242 project using 2022–2025 Recreation.gov campsite-demand data. I am responsible for data integration and modeling; a comparison of SARIMA forecasts against a seasonal naive baseline is planned. Completed components and results will be added as the work progresses.
Developed an OBIEE-based self-service reporting plan covering semantic and dimensional models, ETL, governance, costs, risks, and a phased six-month implementation. Defined evaluation for reporting time, adoption, satisfaction, data quality, and performance. Benefits remain targets, rather than measured improvements.
A background in software development and solution architecture.
Solutions Architect · Apr 2023–Present
Led technical discovery and mobile billing solution design, and validated implementations with vendors and cross-functional stakeholders.
Software Development and Architecture Engineer · Oct 2019–Jan 2023
Designed and led development of a regulatory reporting application using PL/SQL, Informatica, OBIEE, and Java to automate data integration and manual handoffs.
Software Developer · Dec 2014–Sep 2019
Developed provisioning logic in Java, PL/SQL, and shell scripts, and integrated J2EE applications with upstream ordering.
My CV includes education, research preparation, academic projects, professional experience, and technical skills.
I welcome conversations with prospective advisors and collaborators working on human-centered AI, NLP, and assistive communication.