8 years of experience in Machine learning and Deep learning. Provide cloud and ML technical solution build and first-mile customer engagements including Proof of Concepts, Architectural Design Sessions (ADS), and Hackathons. Design cloud architecture with ML pipeline for full-scale deployments and migration plans to GCP. Accompany strategic ISV’s in their journey to become co-sell ready providing technical enablement and business development Framework: TensorFlow | PyTorch | Sklearn | TensorFlow Probability | PYMC | Techniques: LLM in Production | Classification | Regression | GLM | Bayesian Optimization | Sentiment Analysis | CNN | RNN | Recommender Systems | Probabilistic Graphical Modelling | Causal Effect | Anomaly Detection | Natural Language Processing | Image Search Engine | Clustering | OCR | Production / Deployment: TFX, Kubeflow, TF Serving, CMLE(GCP), Docker, CI/CD in ML