Professional Summary
Full-stack software engineer with over 4 years of making users' hearts flutter. Passionate about building resilient infrastructure where correctness and performance matter. Educational background in machine learning and cloud computing.
Technical Skills
Frontend
React, TypeScript, Next.js, Astro, Tailwind CSS, HTML5, Svelte
Backend
C++, Python, Rust, Node.js, FastAPI, REST
Database
PostgreSQL, MySQL, Neo4j, Redis
Devops Tools
Docker, AWS, GitHub Actions, Kubernetes, Terraform
Professional Experience
Software Engineer
Symbium
2022 - 2023
- Conducted capacity‑planning exercises anticipating traffic spikes, provisioning resources to maintain sub-second P99 latency
- Achieved 99.9% API uptime for backend services using Python & FastAPI, ensuring uninterrupted data access for thousands of downstream jobs
- Orchestrated unified data infrastructure (MySQL, PostgreSQL, Neo4j, AWS S3), cutting cloud spend by 20% and improving resource utilization across staging and production
- Reduced initial page load by 500ms and user checkout completion by 20% by optimizing page load order and developing automated workflows across the JS and Node.js codebases
- Developed machine learning algorithms to automate data validation for semi structured data, increasing real coverage of California addresses by 150%
Data Engineering Intern
Symbium
2022
- Reduced P99 MySQL latency from 5s to 500 ms using in‑memory caching and payload bundling, increasing user responsiveness
- Optimized ETL memory usage by streaming directly to S3, reducing EC2 memory costs by 15% and allowing concurrent user requests
Education
Computer Science, MS
Georgia Institute of Technology
2026
- Cloud Computing, Operating Systems, Computer Architecture, Human-Computer Interaction
Statistics & Data Science, BS
University of California, Santa Barbara
2021
- Machine Learning, Data Structures & Algorithms, Database Systems