Professional Overview
On the AI/ML side, your main stack is Python with TensorFlow and Keras, and you’ve built ML projects such as web apps and data‑driven tools that show you can translate theory into working code. On the SAP side, you’re actively developing strong SAP MM skills: configuring enterprise structures, material and vendor master data, movement types, purch
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
