💻 Software & DevOps Engineer | Full-Stack Django Developer | Cloud & Monitoring Enthusiast
📍 Mohakhali, Dhaka, Bangladesh 📫 Reach me: shakhawat.icpc@gmail.com | 0962210005101020@isu.ac.bd

I'm a Software & DevOps Engineer with hands-on experience building and deploying full-stack Django applications for real clients in Bangladesh.

I enjoy:

• Designing clean backends and REST APIs
• Building practical frontends
• Handling deployment, server management, and monitoring
• Learning microservices and machine learning to build smarter systems

🔧 I work with:

• Backend & APIs: Python, Django, Django REST Framework
• Frontend: HTML, CSS, JavaScript, React, Tailwind CSS
• Databases: PostgreSQL, MySQL
• Cloud & Infrastructure: AWS (EC2, RDS, S3, Route 53, Beanstalk, ElastiCache), Terraform, Vagrant, VirtualBox
• DevOps: Docker, Kubernetes (K8s), Nginx, Linux, Git/GitHub, CI/CD(GitHub Actions)
• Monitoring & Logging: AWS CloudWatch, Grafana, Prometheus
• Data & ML: Pandas, scikit-learn, TensorFlow

Production-ready full-stack web application where I:

• Develop backend features using Django
• Implement business logic, data models, and APIs
• Manage deployment, reverse proxy (Nginx), and SSL
• Set up monitoring & uptime checks to keep the app stable

Client project – code is private. I can explain the architecture, stack, and responsibilities in detail.

Personal practice project to explore:

• Microservices architecture (service-to-service communication, API gateway, scaling)
• Using RabbitMQ / Kafka as message brokers
• Breaking a monolith into smaller services

Update this later with your repo link (e.g. https://github.com/alian010/microservices-playground).

Experimenting with:

• Data preprocessing and model training
• Using scikit-learn and TensorFlow
• Ideas on how to plug ML models into web apps (Django/REST APIs)

Add your ML repo link here when ready.

• Microservices architecture (service communication, API gateway, scaling)
• Message brokers: RabbitMQ, Kafka (basics)
• Containerization & orchestration: Docker, Kubernetes
• Machine Learning fundamentals and building ML-powered features
• ML tools: scikit-learn, TensorFlow
• Deploying ML models and microservices into real production systems

Languages:
Python · JavaScript · C++ · Java

Backend:
Django · Django REST Framework · REST APIs

Frontend:
HTML · CSS · React · Tailwind CSS

Databases:
PostgreSQL · MySQL

DevOps & Infra:
Docker · Kubernetes (K8s) · Terraform · GitHub Actions(CI/CD) · Linux · Nginx · Git · GitHub

Cloud & Monitoring:
AWS (EC2, RDS, S3, Route 53) · Grafana · Prometheus (learning)

Data & ML:
Pandas · scikit-learn · TensorFlow

• 🧑‍💻 GitHub: github.com/alian010

“Clean code in the repo, stable services in production.”