Andrew N.

I teach machines how to learn and design their workflow. I also happen to solve optimization problems sometimes. I use a combination of the following technologies: Languages: Python; C++ ; Bash; Mathematica; Java Deep Neural Network: Convolutional NN; Graph Convolutional NN; Recurrent NN; Attention-based NN Machine Learning Frameworks: PyTorch; Apache MXNet; TensorFlow; DeepLearning4J Scientific Computing: Numpy; Scipy; JAX Optimization Frameworks: SCIP; CPLEX Event-streaming, Distributed Tracing and Monitoring: Kafka ; Envoyproxy; Jaeger; Grafana; eBPF Databases: Elasticsearch; MySQL; PostgreSQL Deployment and VCS: CI/CD ; Git ; GitHub Actions ; BitBucket Pipelines ; GitLab Runners