Kafka, Tableau, Deep Learning, Elasticsearch, Scalability, Nlp, AWS, Streaming, Power Bi, AGILE, Big Data, Cloud Technologies, AI ML, Hive, MLops, Gcp, Spark, Azure, Safe, Program Management, platform monitoring, reliability engineering, generative AI, large scale distributed system designs

containerization , Machine Learning, Microservices, Tensorflow, Pytorch, Docker, Distributed Systems, Etl Tools, Python, AWS, Java, Apis, Node.js, Deep Learning, MLops, Gcp, System Design, Azure, Kubernetes, Airflow, Data anonymization, Hugging Face, MLflow, bias detection, secure model deployment, feature stores, Architecture, DVC, dbt

Aws Services, API design, Automated Testing, Devops, Amazon Connect, full-stack engineering, prompt engineering, cloud-native deployment, model evaluation, agentic AI architectures, agentic AI patterns, MCP concepts, prompt design, LLM evaluation, observability

Aws Lambda, Aws Services, Node.js, API design, Nosql, React, Distributed Systems, Amazon Connect, Debugging, data structures, Python, full-stack engineering, prompt engineering, MCP Model Context Protocol, model evaluation, infrastructure-as-code, agentic AI patterns

Machine Learning, Apis, Node.js, Microservices, Deep Learning, Django, React, MLops, FastAPI, Python, full-stack engineering, LLMs, cloud platforms, vector databases, prompt engineering, Azure AI factory, applied statistics, agentic frameworks

Algorithms, Sql, Tensorflow, Pytorch, MLops, Elasticsearch, data structures, Rest Apis, Python, LangChain, embeddings, Transformers, machine learning pipelines, LLaMA, model evaluation metrics, NoSQL databases, Scikit-learn, vector databases, GPT, BERT, NLP models

Tensorflow, Pytorch, Containers, MLops, Orchestration, python, Software Engineering, Technical Documentation, Testing, Kubernetes, model registry, mentoring engineers, hugging face, model deployment, experiment tracking, stakeholder communication, cloud-native architectures, prompt optimization, model versioning, transformer-based architectures, model fine-tuning, ai platform engineering, ci/cd pipelines, embedding frameworks, code reviews, Production Support, vector databases, model evaluation, rag systems

Java, Regression Testing, Python, cost latency monitoring, vector search, orchestration patterns, tool function calling, trace inspection, structured output generation, AI systems, context engineering, agent frameworks, AI-native developer tools, agentic workflows, MCP Model Context Protocol, evaluation systems, LLM application patterns, RAG, reranking, prompt design, observability

Python, embeddings, data pipelines, RAG systems, LLMs, backend systems, prompt engineering

Graphql, Node.js, Api Integration, React, REST, Javascript, Python, CrewAI, LangChain, Agentic AI development, multi-agent orchestration, cloud platforms, vector databases, prompt engineering, RAG implementations, LlamaIndex