Software Engineer • AWS Community Builder (ML) • Building cloud-native GenAI & MLOps systems
Computer Science graduate student at Arizona State University with 4+ years of experience building scalable microservice-based applications on AWS. Currently focused on Cloud Computing, MLOps, and Generative AI.
- 🎓 MS in Computer Science @ Arizona State University (GPA: 4.0/4.0)
- 🏆 AWS Community Builder — Machine Learning Track
- 💼 Previously: Senior Platform Engineer — AWS Cloud @ Quantiphi Analytics
| Project | Description |
|---|---|
| holomemory | Structured vector memory for AI agents using Holographic Reduced Representations (HRR) — encodes relational facts into fixed-width vectors via circular convolution. |
| road-to-reinvent25 | Multi-agent AI system on AWS Bedrock + Strands Agents SDK (Agents-as-Tools with Claude Vision). Built for the AWS Road to re:Invent hackathon. |
| trustmed-ai | RAG-powered medical chatbot combining clinical sources (Mayo Clinic, CDC) with patient discussions — AWS Bedrock, LangChain, OpenSearch, Chainlit. |
| tcr-embedding-data-selection | ML research on smart data-selection for TCR-epitope binding prediction using catELMo embeddings — 0.98 AUC with only 10% of training data. |
| ASU-Course-Notifier | Serverless AWS Lambda system that monitors ASU course availability and sends Telegram/SNS alerts when seats open. |
Cloud & DevOps
Languages
Data & AI
- 2nd Place Winner — Hack SoDA Hackathon 2024 (Amazon's Online Safety track)
- Developed a GenAI-powered RAG pipeline for Heritage Square Foundation at Opportunity Hack 2024
- AWS Certified: Solutions Architect, DevOps Engineer, Machine Learning Specialty
I'm always interested in collaborating on cloud-native and AI projects. Reach out on LinkedIn.