🚀 Data Scientist | Machine Learning Engineer | Astronomy Researcher
🌍 Tavily AI Ambassador | Arize Phoenix AI Ambassador
I’m passionate about turning data into actionable insights and intelligent systems.
With a background in astronomy (PhD researcher) and hands-on experience in machine learning, MLOps, and data engineering, I enjoy solving complex problems across both science and industry.
- 📡 Research: Radio-emitting stars in our Galaxy using SARAO MeerKAT data
- 🧠 ML/AI Projects: Building intelligent systems across domains — from weather disease prediction to brain tumour classification and AI/RAG-powered agents for real-world applications.
- ☁️ MLOps: Deploying ML inference pipelines on AWS (Lambda, Kinesis, ECS, MLflow, Terraform)
- 🤝 Community: Advocating for responsible and practical AI adoption through Tavily and Arize Phoenix AI Ambassador programs
- Advanced MLOps & Cloud Infrastructure (AWS, Terraform, Kubernetes)
- Deep Learning for Astronomy & Healthcare
- Generative AI & AI Agents
- Open-source data science and ML projects
- Astronomy data analytics collaborations
- Building and deploying AI-powered apps
- AI community initiatives through ambassador roles
- Data Science & Machine Learning
- MLOps (MLflow, Docker, Airflow, Prefect, AWS, GCP)
- Astronomy (stellar astrophysics, radio astronomy, spectroscopy)
- AI Advocacy & Community Building
- 🐦 Website
- 📧 Email: [email protected]
When I’m not debugging code or analysing stellar spectra, you’ll find me teaching, mentoring, or exploring the latest in AI 🚀.
⭐️ Feel free to explore my repositories and connect — I’m always open to exciting projects and collaborations!