Deep learning system engineer.

2020 — NowDeepgramStaff Engineer

2020 — Now

I help develop the core deep learning production inference system that powers our high performance, high accuracy ASR models. This involves:

* Low-level tuning of algorithms to maximize throughput and minimize memory footprint

* Systems-level work to optimize data flows in an HPC context

* Implementing cutting-edge deep learning models so that they can be put into production

* Benchmarking deep learning systems as well as testing them for accuracy

* Troubleshooting production issues to maintain high uptime

2019 — 2020Determined AISoftware Engineer (Systems)

2019 — 2020

Toronto, Canada Area

Full stack development for machine learning platform.

2016 — 2018DeepgramAI Engineer

2016 — 2018

San Francisco Bay Area

I support deep learning research efforts at Deepgram through the development and maintenance of critical hardware and software infrastructure. Additionally, I help develop some of our SaaS products. Below are some of the projects I have worked on:

Developed optimized GPU versions of key proprietary algorithms using CUDA

Built and managed GPU cluster used for training Deep Learning ASR models

Developed custom Python modules (written in C) to perform fast GPU-to-GPU data transfers using OpenMPI during multi-GPU deep neural network training in Tensorflow

Wrote web application back-ends (SaaS product, system monitoring, etc.) using Python with Tornado and PostgreSQL and front-ends using Vue.js

Implemented custom Allreduce methods using OpenMPI primitives to optimize deep neural network model training

Developed Python data augmentation tools for audio data used in automatic speech recognition training tasks

2015 — 2016Self-EmployedFreelance Software Engineer

2015 — 2016

Berkeley, CA

Implemented novel audio search algorithm for client to maximize speech search performance. Delivered C++ code and Python wrapper.

Developed educational technology Android application. Python/Tornado and MySQL were used for the back-end. AngularJS used for the front-end of a companion web application.

Developed a web-based system for synchronization and administration of tasks across a network of embedded systems for an art installation