Damian O. Email & Phone Number

Sunnyvale, California, United States

Philadelphia, Pennsylvania, United States

* Leveraged GNNs to improve electrical grid efficiency achieving a 5% cost reduction and <2% error rate.* Developed a framework for solving large-scale special problems by training CNNs on small scenarios and leveraging transfer learning for scalability, which was presented to Congress in Washington, DC.* Collaborated with Lockheed Martin to develop a scalable multi-sensor multi-target tracking system, which achieved a 40% accuracy improvement from SOTA and can handle hundreds of targets.* Authored six papers published at IEEE conferences including ICASSP, ACSSC and GlobalSIP.

Philadelphia, Pennsylvania, United States

* Taught five semesters of “Information and Signal Processing” and “Graph Neural Networks”.* Mediated multiple conflicts within student project groups resulting in a resumption of collaboration.* Designed labs on topics such as deep reinforcement learning for control of dynamical systems.* Led lab sessions, hosted office hours, graded lab reports and exams.

Philadelphia, Pennsylvania, United States

* Published two papers on energy grid optimization using graph neural networks.* Collaborated with a research group of 20 people.* Leveraged PyTorch for implementation of graph neural networks.

Cupertino, California, United States

* Created a machine learning model for display state estimation that reduced prediction errors by 88%.* Integrated hardware, C++, Python to collect tens of gigabytes of performance data about displays.* Leveraged a Dask cluster for big data analysis and machine learning. Presented findings to senior management.

Warsaw, Mazowieckie, Poland

* Developed a convolutional neural network (CNN) voice emotion recognition model in PyTorch.* Created a voice assistant for Zoom and automated meeting analytics using natural language processing.* Communicated with client to collaboratively design a minimum viable product that secured funding.

Warsaw, Mazowieckie, Poland

* Designed a state-of-the art CNN model for malware classification achieving 97% accuracy.* Implemented several architectures in TensorFlow including CNNs and RNNs.

Warsaw, Mazowieckie, Poland

* Optimized graphene production process to maximize conductance, carrier mobility and density.

Doctor Of Philosophy - Phd, Electrical And Systems Engineering, 4.0

Master'S Degree, Robotics, 4.0

Bachelor Of Science In Engineering - Bse, Systems Engineering

Bachelor Of Arts - Ba, Physics

High School, Hl: Physics, Math, Economics; Sl: Chemistry, Spanish, English, 44

Activities and Societies: Chairman of Engineering Society, Captain of Volleyball Team, Swimming Team, BISMUN Delegate, Programming.

High School

Activities and Societies: Varsity Swimming, Varsity Volleyball, Roots and ShootsTechnology executive of environmental society; Varsity.