data wrangling , production deployment , Machine Learning, Algorithms, Spark, Databricks, Python, AWS, Feature Engineering, Go, Model Training, Numerical Computing, Monitoring

Sql, Google Cloud, Tensorflow, Numpy, Git, Pytorch, Pandas, Docker, Terraform, Azure, Python, Kubernetes, AWS, LangChain, Scikit-learn, LlamaIndex

Jax, Pytorch, Python, SFT, GPU-based training and inference system, Distillation, DPO, LoRA, QLoRA

Machine Learning, Jax, C, Artificial Intelligence, Tensorflow, Data Science, Pytorch, Data Visualization, Statistical Analysis, Python, Generative Models, R, Score-based Diffusion Models, Experimental Design

Algorithms, data structures, Python, planning memory modules, retrieval graph algorithms, prompt engineering, Agent framework development, LLM fundamentals, RAG optimization, SFT for LLMs, fine-tuning workflows, RLHF

Distributed Computing, Hadoop, Spark, cloud-native deployment, micro-services architecture, Map-Reduce, server side technologies, large scale machine learning infrastructure, information retrieval ranking algorithms

Tensorflow, Machine Learning, Pytorch, Python, Computer Vision, Time-series analysis, Model optimization for real-time inference, IMU motion data, Human pose estimation, Signal processing fundamentals

Jax, Pytorch, Python, Distributed machine learning systems, Model serving and deployment infrastructure, Modern data processing and orchestration frameworks, GPU-accelerated training and inference platforms

Java, Machine Learning, Information Retrieval, Python, MultiModal Machine Learning, scaling law, sparse MoE, generative models, reinforcement learning