Education
Graduate education in AI and systems, translated into practical backend and platform engineering judgment.
MS in Computer Science
Specialization: Artificial Intelligence
Georgia Institute of Technology · Graduated May 2026
Graduate work focused on AI, machine learning, NLP, computer vision, and responsible AI — strengthening applied judgment for backend and platform engineering with ML-aware systems.
Relevant coursework
Graduate coursework grouped by AI, systems, and responsible engineering themes.
AI / ML
NLP / Computer Vision
Systems / Databases
Responsible AI / Ethics
Academic projects and research
Selected graduate work demonstrating AI depth and research-oriented problem solving.
Smart-home continual learning research proposal
Research proposal exploring continual learning and human-in-the-loop feedback for adaptive smart-home systems.
On-device learning literature review
Systematic literature review on mobile-edge training and on-device learning approaches.
Transformer implementation
From-scratch transformer implementation to deepen understanding of attention-based sequence modeling.
KVMemNet NLP project
Key-value memory network project applying neural architectures to question answering workflows.
ViT-based indoor scene classification
Vision Transformer approach for indoor scene classification and spatial understanding tasks.
Engineering translation
How graduate AI education supports backend and platform work.
- Better applied AI judgment when designing backend and platform systems.
- Stronger research-backed problem solving for ambiguous engineering challenges.
- Ability to build AI-assisted developer tools with practical workflow impact.
- Broader systems and ML perspective when evaluating architecture trade-offs.