David Scott Email & Phone Number

San Francisco, CA, US

Logistics ML & Intelligence

San Francisco, CA, US

Caper AI - one Patent Pending (First Author)Research and implementation of computer vision algorithms using segmentation, attention, binary masks, images to perform real-time classification of items.Deploying embedded machine learning models for computer vision on Android using Kotlin, C++ to perform real-time inference of products using product.

San Francisco, CA, US

Caper AISupporting software engineering & machine learning infrastructure for Caper AI computer vision processes served in real-time on edge devices. Software development, machine learning, machine learning infrastructure, computer vision, edge serving, algorithm design, ML model implementation on hardware devices, distributed training on-cloud & on-prem.

Schaffhausen, Switzerland, CH

NLP / Threat Detection TeamManaged a team of 5 Machine Learning Engineers and Software Developers on the research and implementation of threat detection algorithms inside existing production software systems.

Schaffhausen, Switzerland, CH

Building machine learning infrastructure and pipelines to support MLOps and classification processes' using Apache Airflow, Apache Spark, Kafka, MLflow, Docker, Cassandra, etc. Worked to solve cybersecurity threats using NLP methods and large scale malware clustering.

London, GB

Spent >1 year working on 2 different startups focused around NLP on recruitment processes and gaussian models to expedite chemical research processes. Entrepreneur First (EF) is a leading startup incubator which as of 2020 has helped > 2,000+ people create 300+ companies, worth more than a combined $2bn USD.

北京, Beijing, CN

Continuation of M'sc research from University of Alberta. Delivered research presentations in Jiangnan University and Tsinghua University to educate faculty and students in applied machine learning research, reaching audiences of up to 100 guests.

Houston, Texas, US

Collaborated with a diverse team of over 40 cross-functional stakeholders to drill horizontal and vertical oil sections in Alberta's rockies. Used classification algorithms to detect ~10 drilling faults from signal processing data which saved over $150,000 USD. Troubleshooted IoT hardware to detect faults.

Edmonton, Ab, CA

Engineering Capstone Course (Teaching Assistant (TA) in 2018 & 2019): Evaluated and provided feedback on the design of processes for 135 students. Trained new TA's and planned and facilitated industrial meetings for over 170 participants.

Edmonton, Ab, CA

Applied Machine Learning Lab - U of A

Calgary, Alberta, CA

Ottawa, ON, CA

Master Of Science In Computer Process Control, Computer Engineering

Master Of Science - Ms, Department Of Automation

Bachelor Of Science In Engineering With Distinction, Co-Operative Program