Logging, Microservices, Tensorflow, Pytorch, Docker, Python, Apis, MLops, Security Controls, FastAPI, Kubernetes, data pipelines, AI GenAI applications, tool integrations, vector databases, production-ready AI systems, LangGraph, AWS AI services, RAG architectures, LangChain, Agentic AI frameworks, LLMs, Monitoring, prompt engineering, MCP Model Context Protocol, Amazon Bedrock, LlamaIndex, Governance

Java, Tensorflow, Pytorch, MLops, Spark, Kafka, Python, scikit-learn, deep learning concepts, Generative AI models, neural network architectures

Machine Learning, Hadoop, Hipaa, Sql, Deep Learning, Tensorflow, Pytorch, Gcp, Cloud, Hl7, Docker, Spark, Azure, Kubernetes, Python, AWS, GitOps, Scikit-learn, FHIR, CI CD, CICD Pipelines, AIML Engineering

Pytorch, Docker, data structures, Azure, Kubernetes, Python, PEFT, Transformers, DPO, Multi-GPU Finetuning, trl, LORA, deepspeed, NLP techniques

Retrieval-Augmented Generation (RAG), Sql, Python, Azure, Gcp, Microservices, Tensorflow, Pytorch, AWS, ML Frameworks, Generative AI Concepts, Agentic AI Frameworks, Cloud Platforms, Prompt Engineering, Vector Databases, Pinecone, Weaviate

Data Structures, Tensorflow, Algorithms, Nlp, MLops, Gcp, Software Engineering, Pytorch, Docker, Big Data Technologies, Azure, Kubernetes, Python, AWS, Feature Engineering, Scikit-learn, R, Data Analysis

Tensorflow, AWS, Pytorch, Python, Azure, Gcp, GPTQ, LlamaIndex, ChromaDB, PEFT, vector databases, AWQ, LoRA, model quantization, RAG frameworks, LangChain, Pinecone, FAISS, prompt engineering, LLM architectures

Pytorch, Hadoop, Spark, Sql, Python

Tensorflow, Data Visualization, Machine Learning, Seaborn, Power Bi, Python, Nlp, Matplotlib, Azure ML, vector databases, LLMs, scikit-learn, cloud-based ML platforms, Gen AI, time series forecasting, AWS SageMaker, Bayesian Methods, RAG, Google Vertex AI, Plotly

Hadoop, Pytorch, Spark, Python, Sql