👨💻 MLOps Engineer | Full Stack Data Scientist | DevOps and Cloud Engineer | PhD Candidate
Passionate about building scalable and robust machine learning systems, I specialize in MLOps, full-stack data science, and cloud engineering. My work integrates advanced machine learning techniques with DevOps practices to streamline model deployment and monitoring. Currently pursuing a PhD in Computational Science, my research focuses on AI-driven optimization and additive manufacturing. Explore my repositories to see my contributions to open-source projects and innovative solutions across these domains.
Technical Proficiency: • Programming Languages: C/C++, Python, MATLAB, Julia • Mathematical Software and FEM Solvers: NGSolve/Netgen, FEniCS, Deal.ii • ML/DL Frameworks: JAX, PyTorch, TensorFlow, Keras, Scikit-Learn.
MLOps/DevOps/Data Scientist Tools: • Cloud Distributed Workflow: Git, GitLab, Jenkins • Performance Profiling and Observability: Splunk, Prometheus, Grafana • Programming and Debugging: Python, Linux Scripting, C++ • Open-Source Solutions: PostgreSQL, Spark, Kafka, Terraform, Elasticsearch • Container Orchestration: Docker, Kubernetes
- C/C++, Python, MATLAB, Julia
- Machine learning
- Deep learning
- Research
👩💻 PhD Candidate in Computational Science
🧠 Msc in Computational Science with distinction 👯♀️ Msc in Applied Mathematics with distinction
📫 Bcs Mathematics with distinction
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😄 He/His/Him