Pytorch, Docker, Python, CNN Architecture Basics, Active Learning Awareness, Model Evaluation, MLflow, Surrogate Modeling Concepts

Sql, Hive, Pytorch, Spark, Python, Knowledge Graph Completion, Neighborhood Aggregation, Multi-Task Learning, Distributed Training, GraphSAGE, Graph Construction, DGL, PyTorch Geometric, Heterogeneous Graph Modeling, Attention Mechanisms, Graph Self-Supervised Learning, Link Prediction, GCN, Node Classification, Graph Representation Learning, GPU Training, Message Passing, Graph Deep Learning

silicon photonics , MATLAB, Python, LabVIEW, bit error rate testers, optical measurement equipment, integrated photonic circuits, sampling oscilloscopes, coherent receivers, photonic device physics, Optical Communications, vector network analyzers, tunable lasers, high-speed optical instrumentation, optical power meters, automated laboratory test environments, optical spectrum analyzers

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

Tensorflow, Version Control, Hive, Pytorch, Spark, Python, a/b testing, Feature engineering, Statistical significance, Machine learning concepts, supervised learning, Cloud ML platforms, Model evaluation

Perl, Debugging, Python, eye diagrams, SerDes verification, VHDL, high-speed communication verification, Uvm, systemverilog

Tensorflow, Numpy, Machine Learning, Pandas, Pytorch, Python, Scikit-learn

Jax, Pytorch, Python, GPU-based production ML systems