Software Engineering | Machine Learning | Applied Research
Interested in software engineering and applied machine learning research.
- Languages: Python, Java, TypeScript/JavaScript, C#, C++, C, Go, SQL, HTML/CSS
- Backend & APIs: FastAPI, Django, Flask, Spring Boot, .NET, Node.js/Express, REST APIs, gRPC, microservices, event-driven systems
- Frontend: React, Next.js, Angular
- Machine Learning & AI: PyTorch, TensorFlow, Keras, scikit-learn, Hugging Face, LangChain, deep learning, computer vision, NLP, RAG, generative AI
- Data & Databases: NumPy, Pandas, PostgreSQL, MongoDB, MySQL, SQL Server, Redis, Neo4j, BigQuery, Hadoop, ETL, data pipelines
- Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, GitHub Actions, Azure DevOps, GitLab, Jenkins, CI/CD, Linux
- Testing & Automation: PyTest, Jest, Selenium, Playwright, unit testing, integration testing
- Software & Systems: object-oriented programming, data structures and algorithms, software architecture and design, distributed systems, operating systems, computer architecture
- Computer Engineering: VHDL/FPGA, digital systems, networking, secure client/server systems