M.S. Computer Science student at Pace University and Founder of Ominous Entertainment.
I'm actively seeking Software Engineering roles to learn, build, and launch inventive systems.
Interests: AI, Games, Robotics, Space
Hi! I'm Shariah "Shay" Allen, an M.S. Computer Science student at Pace University and a Jacksonville Univeristy alum (B.S. CS, minor in English, '24). My background spans embedded systems, project management, game dev, full-stack, and cybersecurity. Through, NASA's L'SPACE NPWEE (Spring '25), I acted as the Principal Investigator and Primary Reviewer, where I strengthened my proposal writing, technical review, and mission-concept thinking skills
I'm aiming my career toward space/aerospace with a focus on pairing robotics with reliable software. I'm passionate about building systems that advance deep-space exploration and the search for extraterrestrial life. I'm currently seeking Flight Software and Robotics Integration/Test roles where I can have real mission impact.
Currently developing REDACTED, a cosmic horror title at Ominous Entertainment , an indie game studio founded by me. I unwind by reading, storyboarding, gaming, and watching cartoons/anime (especially Bob's Burgers).
As an active member of Jacksonville University's ACM Cybersecurity Team, I developed hands-on expertise in cybersecurity through practical challenges and collaborative learning. My experience includes:
I've been accepted into the Fall 2025 NASA L'SPACE MCA cohort, where I'm expected to learn space mission development skills and gain hands-on experience with tools like Siemens NX for CAD Design and JMARS for remote sensing analysis.
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Selected for NASA's competitive workforce preparation academy focused on professional technical proposal development and evaluation. Led cross-functional team through complete proposal lifecycle from conceptualization to final submission.
In 2022, I founded Ominous Entertainment, an indie game studio dedicated to crafting immersive horror gaming experiences. As the lead game developer, I'm currently developing our first official title, REDACTED, a psychological cosmic horror experience where players take on the role of a crew member investigating the mysterious disappearance of their colleagues during a secret mission to an uncharted planet.
Posted designed by Shariah Allen.
Stock images provided by Pinterest.
A Valentine's Day themed 2D platformer built to master Unity fundamentals
HeartMail is a 2D Valentine's-themed platformer developed to strengthen my Unity fundamentals. The game challenges players to collect 14 hearts across three levels of increasing difficulty, with time limits that shorten as progression continues. Built as a solo project, it emphasizes level design, sprite creation, and completing gameplay requirements under constraints.
A tennis themed 2D platformer focused on fast-paced mechanics and responsive player controls
Racket Mania is a 2D tennis-themed platformer focused on fast-paced mechanics and responsive player controls. Implemented collision detection, scoring systems, and enemy interactions in a playful arcade style.
Racket Mania is a 2D tennis-themed platformer focused on fast-paced mechanics and responsive player controls. Implemented collision detection, scoring systems, and enemy interactions in a playful arcade style.
Exploring how two tech giants shaped modern computing through rivalry and Strategy
Lead a collaborative research project that examined the historical rivalry between macOS and Window, focusing on their evolution, technological advancements, and market strategies. We evaluated how both Apple and Microsoft's strategic decisions influenced the success and positioning of their operating systems. The study emphasized both technical development and business strategy in shaping the personal computing industry.
Leveraging artificial intelligence to enhance medical imaging and clinical decision-making
Team-based research project that explored the application of AI for medical image segmentation - the process of labelling anatomical structures in CT and MRI scans. Centering our study around the TotalSegmentator tool, we investigated its ability to automatically segment over 100 body parts. The project analyzed real-world clinical cases, highlighting how AI-driven segmentation improves workflow efficiency and supports critical healthcare decisions.
Building a youth profile management system to support a local non-profit
Partnered with Krumpin 4 Success, a local non-profit dedicated to empowering youth and reducing risk-taking behaviors, to design and develop a comprehensive youth profile management system. The platform was tailored to the organization's unique needs, supporting both administrative and general users in tracking academic progress, managing creative activities, and promoting community engagement. Our team utilized ASP.NET Core, C#, SQL, HTML/CSS, JavaScript, Azure DevOps, Bootstrap, and Microsoft SQL Server, following an Agile methodology to guide development. As the second Project Manager, I led the team through Milestone 2, ensuring progress through spring planning, feature implementation, and stakeholder communication. This collaboration strengthened my experience in software engineering practices while directly contributing to community impact.
Leveraging IoT and AI to improve train safety through real-time blockage detection
During a week-long hackathon with CSX, my team developed a prototype system designed to help trains detect track blockages and reduce accident-related fatalities. We integrated an ultrasonic sensor, camera, and LED lights with a Raspberry Pi to collect and process real-time data. Using the Flask framework, we built a user interface to display the sensor outputs, enabling clear visualization for operators. Our project earned 2nd place overall, highlighting both its technical feasibility and practical impact.
Leveraging IoT and AI to improve train safety through real-time blockage detection
During a week-long hackathon with CSX, my team developed a prototype system designed to help trains detect track blockages and reduce accident-related fatalities. We integrated an ultrasonic sensor, camera, and LED lights with a Raspberry Pi to collect and process real-time data. Using the Flask framework, we built a user interface to display the sensor outputs, enabling clear visualization for operators. Our project earned 2nd place overall, highlighting both its technical feasibility and practical impact.
