A Cloud Journey

Summary

Customer-focused Cloud Support professional with a passion for AWS technologies and a background in healthcare that sharpens communication and technical problem-solving skills. AWS Certified Cloud Practitioner, currently pursuing Solutions Architect Associate certification, with hands-on experience deploying serverless architectures using S3, CloudFront, Lambda, API Gateway, and DynamoDB. Proven track record of translating complex technical and clinical information for diverse audiences, driving measurable workflow improvements, and delivering excellent customer experiences in high-stakes environments.

Skills

Cloud

AWS (S3, CloudFront, Lambda, API Gateway, DynamoDB, IAM, Route 53, ACM, WAF, CloudWatch)

IaC & CI/CD

Terraform
GitHub Actions (OIDC)

Languages

Python
Bash
HTML / CSS / JavaScript

Certifications

AWS Certified Cloud Practitioner
IBM Professional Data Science Certificate

Experience

Instructor June 2025 – August 2025

Lindamood-Bell Learning Processes • Fairfax, VA

Delivered one-on-one instruction using structured, evidence-based programs, adapting techniques to meet individual cognitive and learning profiles.

Certified Medical Assistant January 2015 – January 2017

Rosewood ENT (Texas ENT) • Houston, TX

Provided patient care and managed health records, analyzed patient data to identify trends and improve care strategies, leading to a 20% increase in workflow efficiency and patient satisfaction.

Referral Coordinator May 2012 – January 2015

Pucillo Family Practice • Sugar land, TX

Set up and managed referral database in EMR as office transitioned into eClinicalWorks, increased referral processing time by 80% and significantly reduced resources.

Projects – Ongoing

Cloud Resume Challenge 2026

github.com/jntph/cloud-resume

Built a serverless resume website on AWS using S3, CloudFront, Lambda, API Gateway, and DynamoDB.
Provisioned all infrastructure with Terraform; deployed via GitHub Actions using OIDC (no IAM keys).
Secured the stack with WAF managed rules, least-privilege IAM, and AWS Budgets alerts.

Winning Space Race with Data Science – IBM Data Science Capstone 2024

github.com/jntph/IBM-Data-Science-Capstone-Project

Consumed the SpaceX REST API and performed web scraping (BeautifulSoup) to collect and normalize launch data into a structured Pandas dataframe — demonstrating real-world API integration and data pipeline skills.
Built an interactive Plotly Dash web dashboard and Folium map to visualize launch site outcomes, payload mass distributions, and success rates.
Trained and evaluated four classification models (Logistic Regression, SVM, Decision Tree, KNN); SVM achieved 80%+ accuracy in predicting Falcon 9 first-stage landing success.

Education

Bachelor of Science • Biomedical Engineering (Magna Cum Laude) 2009

Virginia Commonwealth University • Richmond, VA

Volunteering

Sangha Laity Training Program January 2018 – November 2023

City of Ten Thousand Buddhas • CA

Participated in a structured leadership and community service program, developing time management, cross-cultural collaboration, and organizational skills within a diverse international community.