JAN 2025 — NOV 2025
Research Assistant
Ohio University // United States
- Designed a quantitative study using Markov chains in Python to predict energy availability.
- Collected, cleaned, and segmented ten years of historical weather data from Open-Meteo, cutting data-preparation time in half.
- Automated labeling of raw temperature data into discrete energy states to establish a clear model-evaluation metric.
- Ran statistical analyses (CDF, ECDF, AIC, BIC) in Jupyter with Pandas, NumPy, and Matplotlib to test for Markov chain properties in the dataset.
MAR 2023 — AUG 2023
Server / Infrastructure Engineer (Freelance)
Becelo // Thailand
- Built and deployed server infrastructure in Python and SQL, improving system efficiency and reliability.
- Designed and deployed an e-commerce app on Kubernetes (AWS EKS) for scalability and high availability.
- Wrote Dockerfiles and Helm-deployed Prometheus and Grafana to streamline deployment and observability.
- Managed AWS EBS/EC2 capacity and monitored infrastructure via CloudWatch, Prometheus, and Grafana.