S3, Tensorflow, Nlp, Pytorch, Docker, Python, Aws Services, Clustering, Redshift, Sql, Pig, Django, Git, Hive, Computer Vision, Anthropic Claude, Finetuning, AWS Bedrock, Azure OpenAI, Deep Learning architectures, GPTX.x, CNNs, Sagemaker, Classification, NLU, RAG pipelines, LangChain, LLMs, Regression, Llama, Transformers, Athena, Prompt Engineering

classification), NLP (tokenization, Oops, C, C++, Os Fundamentals, Objective-c, Tensorflow, Pytorch, Swift, Python, language modeling, modern agentic and multi-agent systems, decoding, RAG architectures

production deployment , probability , Large Language Models (LLMs), Tensorflow, Nlp, Pytorch, Docker, Python, Predictive Modeling, Git, Kubernetes, scikit-learn, statistical learning, Portfolio Optimization, Model Evaluation, Mathematics, calculus, Optimization, LLM Evaluation, linear algebra, Generative AI, Signal Generation, Statistics, reinforcement learning, Time-series Forecasting, LLM Inference Optimization, Mathematical Modeling, Fine-tuning, quantitative modeling, Prompt Engineering

triton , data pipeline, Tensorflow, Pytorch, experiment tracking, quantisation, TensorFlow Serving, MLflow, model-serving frameworks, batching, inference optimisation, classical ML, SageMaker, LLM fine-tuning, Distillation, MLOps tooling, Kubeflow, model registries, TorchServe, feature engineering

Tensorflow, Pytorch, Docker, Python, AWS, Sql, Gcp, MLops, Spark, Azure, Kubernetes, Anthropic Claude, Multi-agent frameworks, Azure OpenAI, Agentic AI systems, Mistral, RAG architectures, LLMs, Prompt engineering strategies, Scikit-learn, model deployment, Fine-tuning pipelines, Agentic AI, Llama, RAG, OpenAI, Gemini

Phoenix, Tensorflow, Nlp, Pytorch, Gcp, MLops, Keras, Azure, Python, AWS, LangChain, Generative AI, LLMs, AgentOps, LLMOps, MLflow, LangGraph, Agentic AI, RAG, MCP

MLops, Databricks, Pytorch, Tensorflow, Python, Spark, GPU training, model optimization, inference efficiency

Python, Tensorflow, Pytorch, Docker, Kubernetes, Cloud Platforms

Pytorch, Agile, Scrum, Kubernetes