Full Stack Developer
Antonio Isás Meza
Building clean, performant software that makes a difference.
About
I'm a full stack developer passionate about finding solutions to complex problems. I focus on backend development, building robust microservices, containerized cloud deployments across AWS and GCP, and engineering large-scale data pipelines. Recently expanded my expertise into Applied AI, Deep Learning, and Generative AI applications to build smarter backend solutions.
Experience
Aug 2019 — Nov 2025
Python Developer
PEOPLE THRUST
Managed full-stack development and support for USA-based clients. Architected high-performance Python microservices utilizing Kafka queues for real-time processing, and engineered scalable containerized solutions using Docker and Kubernetes (kubectl) across AWS and GCP. Built automated GCP ETL pipelines and modernized aging legacy codebases combining TurboGears and Django.
Mar 2018 — Aug 2019
Python Developer
PSL GROUP
Developed robust Python web scraping and automated data harvesting systems using Requests, Selenium, and BeautifulSoup. Implemented sophisticated anti-bot avoidance techniques (proxy rotation, header spoofing) to securely scrape gated sources. Engineered data transformation pipelines using Pandas and deployed serverless architectures via AWS Lambda.
Dec 2014 — Mar 2018
Survey Programmer
PSL GROUP
Spearheaded the deployment and management of offshore survey projects with 100% platform uptime using Confirmit. Custom-programmed frontend survey experiences with jQuery and JavaScript, reverse-engineered legacy survey logic to eliminate runtime errors, and built automated internal tools to improve team operational efficiency.
Sep 2014 — Dec 2014
NOC Technician
Tata Consultancy Services
Managed enterprise network operations for a major US retailer with 8,000+ locations across the US and Puerto Rico. Diagnosed and resolved Level 1/2 networking incidents, configured routers and switches via SSH/Telnet, monitored infrastructure using EMC Smarts, and coordinated circuit restorations and hardware replacements through the Remedy ticketing platform.
Projects
Designed, trained, and optimized a deep neural network tailored to accurately identify and classify multi-class traffic signs from image datasets.
Developed and trained an end-to-end deep learning neural network capable of autonomously steering a vehicle around tracks within a simulation environment.
Skills
Languages
- Python
- JavaScript
- SQL
- HTML
- CSS
Frontend
- React
- Next.js
- Tailwind CSS
- HTML/CSS
- jQuery
Backend
- Flask
- Django
- TurboGears
- Node.js
- Express
- REST APIs
- GraphQL
Tools
- Git
- PostgreSQL
- Linux
- Pytest
- Jira
- Redmine
- Swagger
Cloud & DevOps
- AWS/GCP
- Kubernetes
- Docker
- kubectl
Data & AI
- Kafka
- Pandas
- TensorFlow
- Keras
- OpenCV
- Deep Learning
- Generative AI