data engineering , Machine Learning, Deep Learning, Big Data, Cloud Computing, Python Programming, Api Development, Data Visualization, AI ML, Model Deployment, DevOps Practices

snowflake , Matplotlib, Power Bi, PostgreSQL, Apache Spark, Tableau, Google Cloud, Sql, Tensorflow, Numpy, Pandas, Pytorch, MySQL, Seaborn, MongoDB, Azure, Python, AWS, Hugging Face, Scikit-learn

Pytorch, Gcp, Docker, Azure, Kubernetes, AWS, TensorRT-LLM, PEFT, SFT, Hugging Face Transformers, Accelerate, MLflow, SGLang, TRL, vLLM, TGI, LoRA, QLoRA

Predictive Modelling, Data Governance, Machine Learning Algorithms, infrastructure resource sizing, AI ML solutioning, packaging and deployment of AI ML applications, UTCP concepts, deep learning frameworks, CI CD pipelines for ML models, AI ML architectures, AI Engineering concepts, security and compliance for AI-driven solutions, Python applications, Agentic AI MCP, MLOps practices, data engineering concepts, ML pipelines, model deployment strategies

API design, Java, Microservices, Docker, Python, Kubernetes, LangChain, data pipelines, LLMs, AI platforms, cloud-native architecture, RAG implementation, event-driven systems, prompt engineering, Agentic AI, AI model lifecycle management

Deep Learning, Microservices, Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Apis, Azure ML, Computer Vision, Kubernetes, Airflow, MLflow, Kubeflow, MLOps tools, data engineering pipelines, generative AI, Scikit-learn, GCP AI, cloud platforms, large-scale systems, SageMaker, scalable system design, ML frameworks, AI ML system design and architecture

AWS, Python, Google Cloud, Microsoft Azure, Information Retrieval using RAG, Vector DBs, LLMs, Fine-tuning, Prompting, Architectural Design for Chatbots

Azure, AWS, Pytorch, Tensorflow, Python, Gcp, Machine Learning, MLops, Conversational AI, Hugging Face, Generative AI

Spark, Keras, Spring Boot, Java, Tensorflow, Pyspark, AWS, Gitlab, Pytorch, Python, Jenkins, Scala, Spring AI, SageMaker, Glue, Github Actions, CI CD pipelines, Lambdas

Mobile Application Development, APEX, Ml, Flows, LLM-based systems, agentic tool-use patterns, agentic systems architecture, automation platforms, Agentforce, platform scalability principles, Lightning Web Components, responsible AI, LLM orchestration, integration patterns, Salesforce platform architecture, cloud-native architecture, Ai, AI risk frameworks, prompt engineering, Salesforce Field Service solution development, Agentforce custom agent frameworks, AI agents, AI governance, Gemini