Tensorflow, Devops, Pytorch, MLops, Azure, Python, AWS, Cloud Infrastructure, Foundation models such as Claude, Prompt development, Agentic workflows, Model evaluation

data engineering , Context Protocol (MCP), Databases, Apis, Data Integration, Python, structured and unstructured data, large language models, LangChain or similar orchestration frameworks, agentic frameworks

MLops, Gcp, Linux, Azure, Kubernetes, Python, AWS, LLMOps, Go, TensorRT, MLflow, vLLM, CI CD automation, TGI, Kubeflow

Cloud Infrastructure, Jax, Pytorch, Distributed Systems, Python, GPU infrastructure, Vector databases, Performance tooling, Retrieval infrastructure, Workflow orchestration, ML data pipelines

Java, Machine Learning, Neural Networks, Tensorflow, Gcp, Pytorch, Docker, Pattern Recognition, Azure, Kubernetes, Python, AWS, scikit-learn, Statistics

Java, C, Cursor, Tensorflow, Pytorch, Python, Trae, Codex, Claude Code, Gemini CLI, Llm, R, Windsurf, VLM architecture, reinforcement learning

TensorRT-LLM, LangChain, fine-tuning, Agentic AI development, SFT, GenAI models, model training, cloud-based AI solutions, CI CD, vLLM, LangGraph, GPU training, ML pipelines, inference performance, LLM-powered applications, inference optimization, deployment frameworks, distributed GPU systems, AI agents, LlamaIndex, RLHF

Spark, Pytorch, Hive, Python, Tensorflow, Machine Learning, MMoE, vLLM, DIN, DSSM, hugging face

Jax, Pytorch, Python, GPU-based training and inference systems