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

Apis, Sql, Tensorflow, Numpy, Nlp, Pytorch, Pandas, Docker, Azure, Python, AWS, scikit-learn, RAG with embeddings, vector databases, responsible AI, CI CD pipelines, Transformers, evaluation monitoring, model serving

Microservice Architecture, Tensorflow, Numpy, Pytorch, Pandas, Docker, Rest Apis, Kubernetes, Python, AWS, LangChain, Qdrant, Pinecone, AutoGen, MCP

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

Deep Learning, python, Machine Learning, Natural Language Processing, Tensorflow, gen ai

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

API development and integration, Python, Monitoring observability or MLOps concepts, Agentic frameworks or orchestration patterns, Generative AI and LLMs, Tool calling and action execution, CI CD and modern DevOps practices

Ml, Apis, PostgreSQL, FastAPI, Python, CrewAI, multi-agent frameworks, fine-tuning, Langchain, RAG systems, LLMs, Vector databases, agent orchestration patterns, Ai, cloud-based AI services, Anthropic, data processing libraries, prompt engineering, Google AI services, data modeling for AI workloads, asyncio, OpenAI, LlamaIndex

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

Operating Systems, AI ML, Tensorflow, Pytorch, Distributed Systems, Computer Architecture, networking fundamentals, simulation frameworks, AI accelerators, interconnect and memory technologies, collective communication algorithms, distributed training frameworks, memory disaggregation, visualization tools, profiling telemetry observability and debugging tools, large-scale AI training pipelines, topology-aware scheduling, programming skills in Python