data engineering , Tensorflow, Nosql, Machine Learning, Pytorch, Pyspark, Python, Sql, Etl, LangChain, Scikit-learn

data engineering , Machine Learning, Natural Language Processing, Algorithm Design, Deep Learning, MLops, Generative AI, LLMs, Python Programming Language, RAG fine-tuning, Cloud Platforms, AI Ethics, Statistical Modeling, AI agents, NLP embeddings

Machine Learning, Numpy, Pandas, Python, Sql, Data Science libraries

statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, data analysis libraries, ML Ops, feature engineering

Statistical Analysis, Sql, Data Manipulation, Python, Machine Learning, Feature Engineering, Cloud Data Platforms

statistical concepts , Sql, Predictive Modeling, Neural Networks, Deep Learning, Decision Trees, Machine Learning, Clustering, Python, Model training, Data ingestion, Responsible AI, Explainable AI, Ai, Ensemble methods, Feature engineering

RAG (Retrieval-Augmented Generation) architecture, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Data Structures And Algorithms, Python Programming, LLMs, Autoregressive models, SLMs, Model finetuning, AI accelerator chips, Transformer-based networks, Generative AI architectures, MLOps practices, Modern AI frameworks

Microservices, FastAPI, Azure, Generative AI, CAG, Python ML Frameworks, Observability Monitoring Tools, LLM Evaluation Optimization, AWS CodeWhisperer, MCP Servers, Multi-Agent AI, A2A Communication Protocols, AI Security Guardrails, Vector Databases, RAG, CrewAI, Agentic AI, Event-Driven Architecture, LangGraph, GitHub Copilot

Machine Learning, Deep Learning, MLops, Data Profiling, LangChain, Generative AI, Feature Engineering, LLMs, AI Agent Frameworks, GenAI Applications, LangGraph, RAG, OpenAI Gemini, Prompt Engineering