Machine Learning, Neural Networks, Dynamo Db, Apis, Python Programming, AWS Bedrock, Embedding generation, Similarity search, Llm, Agentic AI, Claude LLMs, Document ingestion, prompt tuning, multi-step reasoning, AgentCore, Human-in-the-loop mechanisms, Simple Autonomous agents, vector databases, Guardrails, logging and observability, prompt engineering, tool-calling agent orchestration, workflow automation, output evaluation

Tensorflow, Machine Learning, Power Bi, XGBoost, Python, Sql, scikit-learn, statistical models

Pytorch, XGBoost, Python, Sql, scikit-learn, LightGBM, CatBoost

Data Science, Machine Learning, Artificial Intelligence, Python, Data Analysis

data preparation , model development , Machine Learning, Data Modeling, Neural Networks, Clustering, Sql, Deep Learning, MLops, Python, AWS, Generative AI, Cloud-based ML platforms, AI Agents, Gradient Boosting, Regression, Vector Search, Embeddings, Ensemble Methods, Classification, RAG, Data Analysis, Prompt Engineering

Machine Learning, Natural Language Processing, Generative AI, Fine Tuning, Large Language Models, Retrieval-Augmented Generation

Ml, Power Bi, Tableau, Python, Sql, Data Modelling, Cspo, Agile, Csm, Generative AI, reporting governance, Ai, Data Validation, Performance Measurement, model governance, Product Management, LLMs, prompt engineering, AI agents, AI solution architecture, API integrations, data flows, RAG architectures, enterprise AI use cases

Power Bi, Tableau, Excel, Python, Sql, Basic Statistics and data interpretation