👨‍💻 AI Research Volunteer @ ASU APG
🕙 Prev Software Engineer Intern @ IP Author
🚀 Junior @ Arizona State University
🎓 B.S. in Computer Science
🧠 Backend & AI Engineer | Open Source Contributor

AI Research Volunteer @ ASU APG

• Developed instrumentation to analyze 10K+ LLM training epochs, enabling research on LLM generalization and grokking
• Produced 300+ Hessian top eigenvalues, loss landscapes, and weight norms to visualize and quantify experiment results
• Trained a small LLM on the Sol Supercomputer with NVIDIA L40 GPUs in CUDA-accelerated environments (PyTorch + Mamba), using Matplotlib for data visualization of key metrics collected during experimentation

Tech: Python · FastAPI · React · Flask · TipTap · Dify.ai

• Reduced feature development time by 50% by refactoring full-stack systems (Python/Flask + React), improving the scalability and usability of AI-driven processes, used by clients like Google and Siemens
• Contributed to Dify’s open source AI workflow platform, enhancing the Python SDK with new imports, documentation, and testing, and collaborating with the team to improve developer experience and workflow reproducibility
• Worked with a 5-person cross-functional team (tech lead, backend, frontend, prompt engineer, and founder) to plan end-to-end features, conduct code reviews, and align on iterative rollout schedules
• Followed structured SDLC using Jira to manage milestones, branches, and PR workflows across full-stack deliverables

• 🛠️ (Open) PR to Kubernetes Python client (kubernetes-client/python#2420): Fixing a bug in RFC3339 timestamp parsing. Added error handling and unit tests to prevent crashes when config datetime strings are invalid.

• ✅ (Merged) PR to Dify’s Python SDK (langgenius/dify#22476): Exposed missing imports and added documentation for WorkflowClient and KnowledgeBaseClient

• 📊 Published a musical scale classification dataset on Kaggle with 400+ views and 20+ downloads, built as part of ChromaLite — a PyTorch-based neural network that achieved 80% test accuracy on deduplicated chromagram inputs.

• Languages: Python · Java · C++ · JavaScript (React, Next.js) · TypeScript
• Frameworks & Tools: Spring Boot · FastAPI · Flask · JWT · REST APIs · JPA · Git · Postman · Unit Testing
• Databases: PostgreSQL · MySQL · Redis · Supabase
• ML/AI: PyTorch · CNNs · Feature Engineering · Synthetic Data Generation
• Interests: System Design · Offensive Security · Streamlit Dashboards · Log Analysis

• 📧 Email: [email protected]
• 💼 LinkedIn