Kubernetes, Sql, Java, Tableau, AWS, Kotlin, Python, Sap Business Objects, Docker, Gcp, Nlp, Spark, transformer architectures, benchmarking datasets, Go, Looker, PEFT, model alignment, LLM techniques, R-Shiny, LoRA, evaluation pipelines, Microstrategy, prompt engineering

Sql, Pytorch, Tensorflow, Python, Gcp, Scikit-learn

unreal engine , world models, Blueprint-based gyms, distributed training systems, deep learning frameworks such as PyTorch, world-model integration into robotics, full-stack data pipelines, game-engine simulation environments, diffusion transformers, video generative models, large-scale video and simulation data pipelines, simulation data collection annotation and filtering, model training infrastructure

Tensorflow, Pytorch, Recommender Systems, AI coding assistants, MLOps practices, Graph Neural Networks, LLMs, Network science fundamentals, VLMs, Agentic development workflows, Model training, Feature engineering

Jax, Pytorch, Tensorflow, data pipelines, Agents, RAG, reasoning models, LLM models

data preparation , Java, Kafka, MLops, Spark, Python, feature stores, Airflow, embeddings, experiment tracking, LLMs, model versioning, Go, retrieval-augmented generation, vector databases, generative AI concepts, CI CD, prompt engineering, machine learning fundamentals, model evaluation, feature engineering, Data Validation