Programmed a Telegram chat JSON parser in Python to scrape leaked credentials and export relevant data to CSV, increasing team's card data collection efficiency by 98%Scripted and automated retrieval of 5+ TB of leaked data using bash shell in a Linux environment, allowing for retrieval of 200 times more data than was initially possible in given time framesAnalyzed more than 3 million leaked documents in Autopsy, collected information on 600 social media accounts using custom web scraping tools, and queried two dozen SQL tables with MariaDBWrote or collaborated on 45+ technical reports detailing software, threats, and vulnerabilities to Fortune 500 clients; created Looker Studio and RStudio graphics to visualize cyber criminal trendsTested and analyzed open and closed source code of malicious applications written in C#/.NET, Python, JavaScript, and PHP; examined capabilities of Microsoft Azure Virtual Desktop (RDP)Used OSINT skills to track 35 threat actors through network traffic analysis, social media, and public record databases; delivered key findings with clear and actionable recommendations

Trained and validated 40+ machine learning models in Python using Scikit-learn, Pytorch, Pyro, Nimfa, and other ML/AI libraries; evaluated results using EVR and other metricsRemoved 100% of cosmic rays and 90% of background noise from hyperspectral HDF5 data of energy materials collected via cathodoluminescence spectroscopyDeveloped unsupervised and semi-supervised variational autoencoder deep neural networks (DNNs) for spectral and image feature detectionCreated 120+ figures demonstrating data cleansing techniques, latent space representations of hyperdimensional data, and accuracy of models through data visualization softwarePresented research progress and discussed publications on machine learning and nonlinear optics with research group on a weekly basis, collaborating on various research projects

Supervised daily chess programs for groups of 10 to 20 students while communicating regularly with parents about curriculum.Developed and implemented creative teaching techniques to help students learn strategy, tactics, and critical thinking skills.

Instructed groups of 5 to 15 children in soccer techniques, adjusting coaching based on needs of young athletes, using positive reinforcement.Routinely communicated the child's progress to parents and maintained positive relationships with parents, players, and fellow coaches.

Participated in a Research Experience for Undergraduates (REU) program as a computational data scientist tasked with cleansing and modeling spectroscopic data in PythonTested 30+ signal processing filters and trained PCA and NMF machine learning models to obtain a parts-based representation of complex, hyperdimensional dataCollaborated on investigations into potential applications of convolutional neural networks (CNNs)Demonstrated locations and causes of photovoltaic (PV) material degradation

Supervised after-school programs, directing and mentoring hundreds of children in recreational and academic activities.Facilitated check-outs, third-party events, communication, and other front-desk responsibilities.

Developed English curriculum for elementary age students.Taught a class of 20 kids basic grammar, syntax, listening comprehension, writing, reading, and speaking.

Traveled the country with three separate bands over the course of three year.Lead and backup vocals, acoustic and electric guitar, keys, drums / percussion, and flute.

Working at various youth summer and winter camps in Florida and New YorkMaintenance, grounds, rock wall operator, musician, camp counselor, and counselor leader positions