Jason Ja
@jasonja
Senior full stack engineer building scalable Python and AI-driven applications.
What I'm looking for
I’m a Senior Full Stack Engineer with 7+ years building scalable, high-performance applications, with a strong focus on Python. I design backend systems with FastAPI, Django, and modern data pipelines, and I build cloud-native architectures across AWS and Azure to solve complex performance, scalability, and data processing challenges.
I’ve delivered measurable impact by replacing monoliths to improve scalability, introducing AI-driven recommendations with PyTorch and scikit-learn to increase engagement by 25%, and cutting request latency by 40% using Celery with Redis queues. I also automate reliable ETL workflows with Apache Airflow, improve database performance through query optimization and indexing, and ensure quality with Pytest and integration testing—while mentoring engineers on scalable API design and Python architecture patterns.
Experience
Work history, roles, and key accomplishments
Built a high-throughput Python backend (FastAPI/Django) to replace a monolith, improving scalability and reducing API response delays during peak traffic. Delivered an AI recommendation system that increased engagement by 25%, and reduced request latency by 40% by moving heavy processing to async workers with Celery/Redis.
Built authentication and data-access backend services using Python (Flask) and Java (Spring Boot) to consolidate fragmented logic. Improved internal monitoring tool usability with React/JavaScript and reduced data sync errors by 35% by integrating frontend-backend flows via REST APIs and Axios.
Software Engineer Intern
Microcon, Inc
Mar 2020 - Jun 2020 (3 months)
Delivered responsive frontend pages using HTML/CSS/JavaScript to improve usability of internal tools. Designed MySQL data models and improved performance by 45% by adding indexing and rewriting inefficient joins, while building Flask/Java backend APIs to reduce manual data handling by 30%.
Developed backend features with Python (Django) to automate core workflows and reduce processing time by 25% by removing redundant computations. Built REST endpoints with validation layers, integrated Azure Blob Storage for scalable file handling, and improved data processing efficiency by 20% using NumPy-based AI processing.
Education
Degrees, certifications, and relevant coursework
California Polytechnic State University—San Luis Obispo
Bachelor’s Degree in Computer Science, Computer Science
2017 - 2020
Earned a Bachelor's degree in Computer Science at California Polytechnic State University, San Luis Obispo from 2017 to 2020.
Tech stack
Software and tools used professionally
Google Tag Manager
Postman
OpenAPI
GitHub
GitLab
Kubernetes
Cloudflare
Jenkins
GitHub Actions
Jupyter
NumPy
Pandas
Spring Data
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
SQLite
Node.js
Django
Spring Boot
Next.js
Spring MVC
Tailwind CSS
Material-UI
Google Analytics
Redis
Terraform
IntelliJ IDEA
Azure DevOps
Jira
Gradle
React
axios
JavaScript
Python
HTML5
Java
ES6
CSS 3
PHP
F#
TensorFlow
PyTorch
scikit-learn
FastAPI
SQLAlchemy
Linux
GraphQL
Spring Security
TypeScript
pytest
JUnit
OAuth2
Docker
Airflow
s3-lambda
Amazon Web Services (AWS)
SQL
Azure Blob Storage
Pydantic
Bash
Dynamic
Jan
Availability
Location
Authorized to work in
Job categories
Skills
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