Machine Learning, Api Development, Gcp, Azure, Python, AWS, AI orchestration frameworks, Generative AI, LLMs, vector databases, prompt engineering, Agentic AI, RAG architectures

data engineering , Machine Learning, MLops, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language

snowflake , Docker, DevSecOps, MLops, Databricks, Kubernetes, AI Governance, Zero Trust Architecture, API Gateways, Azure OpenAI, Azure AI Foundry, LangGraph, AI Operations, cloud-native architectures, CrewAI, Generative AI, Platform Engineering Practices, Agentic AI frameworks, LLMs, Anthropic, Agentic AI Frameworks, OpenAI Agents, Semantic Kernel, AutoGen, Security by Design, OpenAI, Gemini, Open Source Models, Responsible AI Frameworks

Java, Kafka, Spring Boot, Datadog, Redis, Postgres, Helm, Kubernetes, AWS, LangChain, LangGraph, Temporal

Java, Ml, Devops, Gcp, Python, AWS, generative AI, Go, Ai, Security, infrastructure as code, observability

Java, Python, LLMs, Azure AI, vector databases, Anthropic, OpenAI, AI applications, agent frameworks, cloud AI services, RAG architectures

Automated Testing, Microservices, Angular, React, Flask, Microsoft Azure, Python, Cybersecurity, Django, Databricks, Data Privacy, FastAPI, Restful Apis, vector databases, Claude, ChatGPT, AI model evaluation, Next.js, OpenAI APIs, observability, fine-tuning, Anthropic APIs, Regulatory Compliance, AI governance

Machine Learning, Cassandra, Kafka, Tensorflow, Pytorch, Docker, Spark, Search Engines, LLMs, K8S, vector databases, deep-learning algorithms, big data frameworks