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

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

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

Machine Learning, Tableau, Sql, Deep Learning, Git, MLops, Powerbi, Databricks, Python, cloud platforms, CI CD, MLFlow

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

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

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