MS Computer Science · University of Oklahoma | Software Engineer · National Weather Center
Building real-time radar signal processing systems at the intersection of HPC, scientific computing, and ML
- 🎓 MS CS @ University of Oklahoma (May 2026)
- 🌦️ Software Engineer @ National Weather Center (NOAA-funded research)
- ⚡ Built real-time radar systems (AWS → C++ → Python) with sub-second latency
- 🤖 Interested in AI systems, distributed computing, and LLM pipelines
- 💼 Seeking full-time SWE / AI roles
- Re-architected radar KDP pipeline from MATLAB → C & C++17, achieving 50× speedup (20s → 0.4s)
- Built real-time AWS S3 ingestion system, reducing latency from 60s → 3s
- Developed cross-platform ETL pipeline (Linux + WSL + Windows) for continuous 5-min radar processing
- Integrated GLPK optimization solver, reduced memory by 35%, achieved sub-second inference
- Automated radar visualization (3×3 grids), reducing manual analysis time by 60%
- Built scalable backend systems for 10+ SaaS platforms (500–2000 users each)
- Improved API throughput by 40% via middleware & routing optimization
- Designed JWT + RBAC security, reducing invalid requests by 35%
- Implemented logging & monitoring → reduced production incident resolution time by 30%
- Built CI/CD pipelines (GitHub Actions) → reduced manual deployments by 50%
Real-Time NEXRAD Dual-Polarization KDP Estimation (NOAA-funded)
- Built LP-based C++ system for real-time radar data processing
- Validated against NWS operational outputs with high numerical precision
- Runs live on OU infrastructure processing storm events
C++17 GLPK Python AWS NetCDF
Next.js Node.js RAG PostgreSQL
React TypeScript OpenAI
Languages
Python · C++ · Java · JavaScript · TypeScript · SQL
Frameworks
React · Next.js · Node.js · Django · FastAPI
Cloud & Tools
AWS · Docker · Kubernetes · GitHub · Linux
AI / ML
LangChain · RAG · FAISS · Hugging Face
Certifications
Azure AI-900 · OCI AI/DevOps Certifications
🎯 Let's connect and build something great together!

