Microservice Architecture, Tensorflow, Numpy, Pytorch, Pandas, Docker, Rest Apis, Kubernetes, Python, AWS, LLM Implementation, LangChain, Fine-tuning Language Models, Qdrant, Pinecone, AutoGen, Vector Databases, MCP, NLP Concepts, Prompt Engineering

Distributed Computing, Hadoop, Tensorflow, Pytorch, Spark, Python, LLMs, model versioning, prompt engineering, big data tools, MLOps tools, ML frameworks

Natural Language Processing, Phoenix, React, designing and implementing scalable AI solutions, Bias-Variance tradeoff, Plan-and-Solve loops, Overfitting, Tree of Thoughts, multi-agent systems, Safety and Compliance, Prompt injection mitigation, LangSmith, Underfitting, designing algorithms, Large Language Model, CrewAI, track agent trajectories, sandboxed code execution, Generative AI, LangGraph

Selenium, Sql, Pytest, Python, Itil, AI tools

Itil, Sql, Pytest, Python, Selenium, AI tools

Containers, Pytorch, Gcp, AWS, Kubernetes, Python, Azure, ES|QL, scikit-learn, Eland, Hugging Face, embeddings, ELSER, anomaly detection, hybrid search, prompt design, Elasticsearch inference NLP capabilities, LLM integration, vector search, Gen AI RAG, ML libraries, Elastic ML, data frame analytics, retrieval pipelines, Elasticsearch DSL, Elastic Stack, semantic search, Transformers

.NET, .Net Core, Gcp, Sql, AWS, Pytorch, Nosql, Python, Tensorflow, Azure, Docker, Scikit-learn

Unix, Front End, Linux, Unit Testing, Automation, Sql, Python, Backend, Analytical, Computer Science