Freelance Machine Learning Engineer2017 - PRESENTFreelance
Technologies: Tensorflow, Scikit-Learn, Dlib, XGBoost, Core ML
- Developed face emotion detection, retraining face landmarks and migrating to iOS.
- Ported models (SVM, CNN) to CoreML on iOS.
- Made sales predictions using XGBoost for a national bank.
- Developed retinopathy detection using convolutional neural networks.
- Built quality insurance on a production line on Android devices using deep learning.
- Developed real-time semantic image search using word vectors and CNNs.
Deep Learning Engineer2017 - 2017Linkfluence
Technologies: Tensorflow, Keras, Kafka
- Developed a logo detection algorithm using the latest deep learning architectures (Bi-LSTM, CNN, attention networks).
- Set up the infrastructure to apply this algorithm in production. Performance: 100+ million images per month.
Back-end Engineer2016 - 2016Mbr Targeting
Technologies: Kafka, Node.js, Aerospike, Impala
- Enhanced the Node.js stack, handling more than 25 billion queries/month.
- Made extensive use of Redis, Kafka, ZeroMQ, and Aerospike.
- Implemented Node profiling and monitoring.
- Improved deployment procedure using Puppet, Nagios, and Cyanite.