Senior AI Specialist with expertise in building and deploying scalable machine learning solutions. My primary focus is on MLOps, Generative AI, and cloud-native data systems. I am passionate about turning complex data into actionable business insights.
- Current Focus: Leading projects in LLM fine-tuning, AI agent development, and MLOps automation using Azure Machine Learning and Python.
- Core Competencies: MLOps, Deep Learning (PyTorch, Keras), Cloud Platforms (Azure, AWS, GCP), Data Engineering (Spark, Databricks), and CI/CD for Machine Learning.
- Contact: LinkedIn | GitHub
| AI & Technical Strategy | MLOps & Execution | Leadership & Collaboration |
|---|---|---|
| • AI Project Leadership | • MLOps & Model Lifecycle | • Cross-Functional Collaboration |
| • Generative AI & LLMs | • Cloud-Native ML Architecture | • Stakeholder Engagement |
| • Tech Roadmapping & Design | • Mentorship & Knowledge Sharing | • Agile Methodologies & Scrum |
| • Data-Driven Decisions | • Technical Documentation | • Complex Problem Solving |
Languages
Core languages for data science, analysis, and software engineering.
ML Frameworks & Libraries
Essential libraries for building and training machine learning models.
Cloud & Data Platforms
Expertise in major cloud environments and scalable data platforms.
DevOps & MLOps Tools
Key tools for containerization, automation, and managing the machine learning lifecycle.
Familiar with: Kubernetes, Tidyverse (R)