unstructured data , Tensorflow, Nlp, Pytorch, Python, AWS, Testing, MLops, Keras, Azure, embeddings, knowledge graphs, vector databases, graph-based reasoning, structured data, model validation, model risk management, explainability, LLMs, LLMOps, Scikit-learn, Monitoring, prompt engineering, feature engineering, Responsible AI

causal inference , feature stores, LLMs, representation learning, reinforcement learning, long-term optimization, semantic retrieval, sequential user modeling, Foundation Models, recommendation systems, experimentation frameworks, behavioral embeddings, vector retrieval, Transformers, multimodal AI, streaming pipelines, contextual bandits, online inference, model serving, search ranking, real-time ML systems

Data Manipulation, Machine Learning, Sql, Nlp, Python, GANs, LLMs, scikit-learn, generative AI, Hugging Face Transformers, AWS Cloud Stack, feature engineering

Machine Learning, Gcp, Natural Language Processing, Version Control, Testing, Sql, Python, Continuous Improvement, Product Design

Tensorflow, MLops, AWS, Pytorch, Python, Azure, Gcp, multi-agent systems, RAG pipelines, LLMs, LlamaIndex, tool-using agents, Production, fine-tuning, Scikit-learn, AutoGen, LangChain, CrewAI, Agentic AI, LangGraph, autonomous workflows

Computer Vision, Statistical Modelling, Deep Learning, Machine Learning, Bayesian Models, Optimization Methods, Event Driven Architecture, Generative AI