preprocessing , pruning , Github, Predictive Analytics, Apis, Azure, AWS, feature stores, TensorRT, Training, CI CD, Monitoring, ML model versioning, ONNX, AI ML pipelines, AI MLOps, data ingestion, quantization, cloud-native services, Deployment

Pandas, Power Bi, Tableau, Sql, Python, Scikit-learn

Networking, Docker, Python, AWS, Gcp, It Infrastructure, Azure, Kubernetes, pgvector, vector databases, MLflow, Pinecone, LangGraph, prompt engineering techniques, LLM APIs, end-user system support, RAG architectures, CrewAI, LangChain, Weights Biases, Anthropic, Open AI, ML fundamentals, MLOps tooling, Gemini, Weaviate, agentic frameworks

Machine Learning, React, Typescript, Natural Language Processing, Kubernetes, Python, Generative AI, Large Language Models

unreal engine , Apis, Git, system integration, Docker, Unity, Python, Computer Vision, data pipeline development, Llm, VLM, NVIDIA Omniverse

Databases, Git, Machine Learning, Apis, Data Science, Python Programming, large language models, cloud-based applications, AI APIs, prompt engineering

Python, AWS, Agentic AI workflows, CI CD pipelines, Llm, data ingestion pipelines

Data Analytics, Machine Learning, Uipath, Alteryx, Power Bi, Power Automate, Tableau, Sql, Data Cleansing, Numpy, Pandas, Exploratory Data Analysis, Python, Generative AI, scikit-learn, prompt engineering, analytics automation, R, visualisation platforms, large language models, Data Validation, feature engineering, ABBYY OCR

Power Bi, Sql, Tensorflow, Pytorch, Docker, Databricks, Rest Apis, Kubernetes, Python, LangChain, Microsoft Azure AI, Semantic Kernel, Google Cloud Vertex AI, AWS AI Services, Vector Databases, Data Engineering and ETL, Git version control, Machine Learning fundamentals, Microsoft Fabric, Prompt Engineering

Sql, Typescript, Javascript, Docker, Openshift, Kubernetes, Python, GenAI technologies, agentic AI concepts, LLM integration, Responsible AI practices, prompt engineering