Data Science · ML Ops · Agentic AI Engineering · Atlanta, GA
Seasoned data scientist with 9+ years in statistical modeling, machine learning and analytics, now moving into ML Ops and agentic AI engineering. I build ML models, production data pipelines and AI agents on Google Cloud (Vertex AI, BigQuery, ADK), and design hands-on cloud and ML certification training.
🌐 Portfolio: amirthaganeshp.github.io · 💼 LinkedIn: in/amirthaganeshp
Certifications
Google Cloud Professional ML Engineer · Professional Data Engineer · Associate Cloud Engineer · Google AI Professional Certificate (Coursera)
Featured repositories
- gcp-ml-hands-on — ML end to end: seeded CPU examples, one CNN in TensorFlow, PyTorch and JAX, Vertex AI training and KFP v2 pipelines
- gcp-pde-hands-on — Professional Data Engineer labs: BigQuery, Beam/Dataflow, Pub/Sub, Spark, orchestration, run locally with emulators
- gcp-ace-hands-on — Associate Cloud Engineer labs with CI and a real kind Kubernetes cluster
- gcp_ace — interactive ACE study app (live demo)
What I work with
| Area | Tools |
|---|---|
| Agentic AI | Claude Code (MCP), Google ADK & Agent Platform, Gemini Enterprise, Google Antigravity |
| ML Ops & Cloud | Vertex AI (training, pipelines, endpoints), Kubeflow, BigQuery ML, Dataform, Docker, Git |
| Data Science | Statistical modeling, forecasting, supervised/unsupervised ML, TensorFlow, PyTorch, JAX |
| Languages & BI | Python, SQL, R, Scala, Julia, C · Tableau, Power BI, Plotly |
Education: Georgia Tech, MS Analytics · MS Industrial Engineering · Management of Technology Certificate · Anna University (CEG), BE Industrial Engineering