Open to opportunities

Amad Billy

@amadbilly

Message

Lead full-stack developer building scalable, AI-enabled web applications with Python and modern frontend.

United States

Message

What I'm looking for

I’m looking for a role where I can lead full-stack and backend delivery, integrate AI/ML features, and build scalable systems end-to-end with strong cloud engineering, testing, and CI/CD practices.

I’m a Lead Full Stack Developer with 7+ years of experience building end-to-end web applications—combining Python backends (Django, Flask, FastAPI) with modern frontend frameworks (ReactJS, Next.js, Vue.js). I focus on intelligent, scalable, data-driven systems that directly improve automation and business value.

At California, I led the migration of a monolithic codebase to a microservices architecture using Django and Docker, and improved backend architecture with Python and Node.js to reduce response latency and increase scalability. I managed cloud infrastructure with AWS Lambda, EC2, and Kubernetes, and I led a team of 5 backend engineers through code reviews, sprint planning, and mentoring.

I’ve consistently strengthened performance and reliability, including improving database performance by 50% through Python-driven query optimization across SQL (PostgreSQL) and NoSQL (MongoDB). I also built lightweight Node.js microservices for real-time notification and webhook handling, and worked closely with product managers and QA to translate requirements into scalable solutions.

My work extends into AI/ML integration: I designed AI-powered recommendation systems with scikit-learn and TensorFlow Lite, integrated the OpenAI API for smart text generation and data summarization, and deployed ML models via REST APIs for real-time predictions. I bring a practical, engineering-first approach—building secure, testable systems with CI/CD, cloud deployments, and strong automated testing practices.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Developer

Current

Agile17

Jan 2024 - Present (2 years 6 months)

Led migration from a monolithic codebase to a microservices architecture using Django and Docker, improving backend scalability and response latency. Managed AWS and Kubernetes infrastructure, improved database performance by 50%, and built AI recommendation features integrating scikit-learn/TensorFlow Lite and the OpenAI API.

Django Docker Microservices Python AWS Lambda AWS EC2 Kubernetes PostgreSQL MongoDB Query Optimization scikit learn Tensorflow Lite Recommendation Systems OpenAI API Webhooks API Design Team Leadership Mentoring Sprint Planning

Senior Software Engineer

TheCodeGenix

Jan 2020 - Jan 2023 (3 years)

Built Flask and FastAPI microservices integrated with React and Redux, and collaborated with frontend teams to deliver AI-driven dashboard insights. Developed Python/Pandas ETL pipelines with Apache Airflow, optimized Celery asynchronous processing, implemented NLP (sentiment/keyword extraction), and integrated LangChain/LLM agents and REST API-based ML inference.

Software Engineer

Keybe

Jan 2018 - Jan 2020 (2 years)

Developed REST APIs using Django and Flask, integrating with React-based frontend components and third-party APIs for expanded functionality. Designed multi-tenant PostgreSQL schemas, supported SQL/NoSQL integration for performance and scalability, and deployed ML/LLM models via REST APIs for real-time inference.

Django Flask REST APIs React API Integration PostgreSQL SQL NoSQL Performance Optimization Machine Learning LLM Inference Debugging Data Modeling

Education

Degrees, certifications, and relevant coursework

University of California, Berkeley

Bachelor of Computer Science, Computer Science

2013 - 2017

Activities and societies: Project work included Area Hub (full-stack real estate platform), Stack Share (tech stack discovery/comparison), 55Places (real estate for 55+ communities), Kallidus (REST APIs, analytics dashboards, CI/CD), and MediTrack (healthcare tracking app with secure data handling and live status updates).

Completed a Bachelor of Computer Science at the University of California, Berkeley from 2013 to 2017. Built and contributed to multiple full-stack and API-focused projects during the program.