Luke Wyszynski Email & Phone Number

Bethpage, New York, United States

Built comprehensive reporting and visualization systems for data-driven decision making.Implemented nightly cronjobs for automated data processing and system maintenance.Developed nightly data validation processes with automated alerting for issue detection.Practiced AGILE methodology, participating in daily scrum meetings and utilizing Jira boards.Deployed and managed application containers on a remote linux server using Docker.Implemented and maintained CI/CD pipelines using Bitbucket for version control and Bamboo for continuous integration and deployment.Utilized OAuth2 tokens, service accounts, and enterprise VPNs for secure authentication and authorization.Won 3rd place in the company's March AI Hackathon with a multi-modal chatbot named "OPI".Gained experience with various industry tools and platforms in software development and data analysis:Google Cloud Platform: - Generating reports for cross-team data requests - Gathering insights and writing automated SQL scripts in BigQuery - Deploying AI models using Vertex AI - Received formal training in GCP BQML (BigQuery Machine Learning) and Vertex AISplunk Enterprise: - Built dashboards to track traffic and error rates - Implemented automated alert systems for error spikes - Conducted investigations on real-time usage logsPalantir Foundry: - Created data processing pipelines - Developed data-backed ontologies - Designed complex visualizations (e.g. customer failure rate node maps) - Implemented a rules-based engine (Next Best Action) to improve backend systemsAppDynamics: - Investigated application outages and unusual behaviors - Monitored containers following anomaliesPython (VSCode + Jupyter NB): - Built an AI chatbot for end-user device troubleshooting - Created an AI call summary app for field technicians - Developed a unit testing script for the Next Best Action algorithm* Transitioned to part-time role in Sept 2024, continuing to present

Hempstead, New York, United States

Read research papers and documentation in the fields of deep learning and computer vision to gain a working knowledge of adversarial examples.Wrote proprietary scripts using PyTorch alongside the PILLOW image library to train convolutional neural networks, preprocess images, and classify them, searching for high confidence misclassifications.Employed the PILLOW library to algorithmically modify existing images, creating chains of images connecting two distinct end points (Sorites' chains in the image domain) to be tested for adversarial properties.

Hempstead, New York, United States

Wrote and updated python code on a Debian Raspberry Pi to extract data, send email alerts, and create graphs from experiments in Dr. Smylie's low temperature physics lab.Configured the Raspberry Pi to function on both the university 'eduroam' network as well as the internal network to access other lab devices.Worked with Lakeshore data collection devices and OAuth2 persistent tokens to maintain 24/7 email alerts.

Queens, New York, United States

Repaired, formatted, and prepared desktop computers for company use with Windows 10 / Ubuntu Linux, as well as installing critical applications such as Microsoft Office.Troubleshot and fixed faulty devices including tablets, monitors, and printers.

Bachelor Of Science - Bs, Computer Science, 3.81

Activities and Societies: Amazon Capture The Flag Participant - Worked with another student to compete in a Kali Linux cracking.

3.5

Activities and Societies: "In The Trenches" Documentary Crew (2020-2021) - Participated in editing, filming, and producing a documentary.