I am a software engineer passionate about AI, full-stack development, and solving real-world problems with cutting-edge technology. I enjoy building scalable applications, deploying machine learning models, and leading innovative projects.
- Kubernetes and cloud-native application development
- Advanced machine learning algorithms and data science techniques
- Open-source AI and machine learning projects
- Web, mobile, and cloud-native applications
- Software architecture and design patterns
- DevOps practices and automation
- Python, JavaScript, TypeScript, React, Django, and modern web frameworks
Languages: Python, JavaScript, TypeScript, Java, C#, C, PHP, SQL, HTML, CSS, Bash
Frameworks & Libraries: Django, Flask, FastAPI, Streamlit, React, React Native, Next.js, Angular, NestJS, Spring, Laravel, ASP.NET
Databases: PostgreSQL, MySQL, MS SQL Server, Oracle, MongoDB, Redis, DynamoDB, Neo4j
DevOps & Cloud: AWS, GCP, Azure, Docker, Kubernetes, Jenkins, Ansible, GitHub Actions
AI & ML: PyTorch, TensorFlow, Transformers, Scikit-learn, Pandas, Numpy, NLTK, Matplotlib
- Sentiment Analysis App: RoBERTa model achieving 91% accuracy
- Biliyo App: React + Django, competition module, image compression, rate limiting
- Greenhouse Automation: IoT system for real-time environmental control
- Awards: Dean’s High Honors, IEEE Xtreme 18 (16th place), National Programming Contests top 3
- Email: [email protected]
- LinkedIn: nimaabdollahipour
