Building reliable backend systems and clean APIs. From containerized microservices to full-stack applications - focused on scalability, clean architecture, and production quality code.
I'm an Associate Software Engineer passionate about building clean, scalable backend systems and shipping full-stack applications that work in production.
My engineering work spans REST API design with FastAPI and Flask, containerized deployments with Docker, and cloud infrastructure on AWS. I focus on clean architecture, performance optimization, and reliable CI/CD pipelines.
I integrate AI capabilities into real applications - from RAG pipelines to computer vision systems - bridging the gap between ML research and production software engineering.
class MuhammadHamza:
"""Associate Software Engineer"""
name = "Muhammad Hamza"
role = "Associate Software Engineer"
expertise = [
"Backend Engineering",
"REST API Design",
"Docker & DevOps",
"Full Stack Development",
"AI Integration",
]
stack = {
"Backend": ["FastAPI", "Flask"],
"DevOps": ["Docker", "CI/CD"],
"Data": ["PostgreSQL", "Redis"],
"Cloud": ["AWS EC2", "S3"],
}
def solve(self, problem):
return self.build_systems(problem)
The tools I use to build reliable backend systems and full-stack applications
Production AI systems built for the real world
End-to-end MLOps pipeline with Dockerized training, FastAPI inference endpoints, Apache Airflow DAGs for orchestration, DVC for data versioning, and automated health checks. Built for reproducible, production-grade ML workflows.
Multi-stage computer vision pipeline for virtual clothing try-on. Uses pose estimation with MediaPipe, body segmentation, clothing warping, and neural synthesis - optimized for GPU with 6 sequential processing stages.
RAG-based multimodal brand compliance system. Ingests brand guideline PDFs into ChromaDB, then validates uploaded images against brand rules using Gemini vision models - fully agentic with structured compliance reports.
Flask web application for bulk email campaigns. Supports CSV contact import, personalization templating, send scheduling, delivery logging, and a clean dashboard UI - deployed with Docker and SMTP integration.
A couples-only private chat app with AI-powered camera detection. The app automatically minimizes whenever a third person is detected in front of the camera, ensuring conversations stay strictly between the two of you. Built for learning, designed for perfect privacy.
A track record of shipping production AI - from research to deployment
How production AI systems are built - from query to cloud
Extensive competitive programming practice covering DSA, dynamic programming, graphs, trees, and advanced algorithmic challenges.
Participated in 45 LeetCode contests, achieving a top 100 finish in one contest among thousands of global competitors.
Selected as TA for Generative AI course in 6th semester, assisting with transformers, diffusion models, and LLM fine-tuning.
Currently ranked in the top 20 in Pakistan on LeetCode, placing among the best competitive programmers in the country.
Open for full-time roles, freelance projects, and collaborations
Whether you're building the next AI startup, scaling production systems, or solving complex ML challenges - I'd love to hear from you.