About Me
Engineer, builder, perpetual learner.
I'm M. Alaa Hedhly — a full-stack engineer, ML practitioner, and quant developer with 4+ years of hands-on experience. I build platforms, machine learning systems, and trading tools from architecture to deployment. I also manage production infrastructure with Docker, Coolify, and Traefik across multiple self-hosted servers.
My work sits at the intersection of software engineering and applied research — clean code, reliable systems, and thoughtful interfaces.
View ResumeI build platforms, ML systems, and trading tools — from architecture to deployment.
Whether it's a Next.js web app, a PyTorch model pipeline, or an algorithmic trading engine, I care about the full picture: clean abstractions, robust infrastructure, and shipping work that holds up in production.
What I Do
Full-Stack Development
Modern, scalable web applications with React, Next.js, and Node.js. Clean architecture, performance, and considered UX.
Machine Learning
ML models for predictive analytics, NLP, and computer vision. Production-ready deployment with FastAPI and Docker.
Quantitative Development
Algorithmic trading systems, backtesting frameworks, and risk management tools. Market data analysis and strategy development.
DevOps & Infrastructure
Production servers with Coolify, Docker, and Traefik. Self-hosted full-stack applications with PostgreSQL, Redis, MinIO, and automated deployments.
Experience
Full-Stack Engineer
FreelanceBuilding scalable web applications with Next.js, React, and Node.js. Specialized in modern architectures and performance optimization.
DevOps & Infrastructure Engineer
Self-Hosted InfrastructureManaging production servers with Coolify (self-hosted PaaS), Docker containerization, and Traefik reverse proxy. Deploying and maintaining full-stack applications across multiple VPS instances with PostgreSQL, Redis, MinIO, and automated CI/CD pipelines.
ML Engineer
Independent ProjectsDeveloping machine learning models for predictive analytics and NLP applications. Experience with PyTorch, TensorFlow, and deployment pipelines.
Quant Developer
Trading SystemsCreating algorithmic trading systems and backtesting frameworks. Focus on risk management and high-performance computing.
Skills & Technologies
Frontend Development
- React
- Next.js
- TypeScript
- Tailwind CSS
- Framer Motion
Backend Development
- Node.js
- Express
- Prisma
- PostgreSQL
- Redis
Machine Learning
- Python
- PyTorch
- TensorFlow
- scikit-learn
- Pandas / NumPy
DevOps & Tools
- Docker
- Coolify
- Traefik
- Linux
- Git
- CI/CD
Let's Work Together
Looking for an engineer who can take your project from architecture to deployment? Let's talk.