Aruzhan Zhengis
Chicago,Illinois
Summary
Computer Science student at DePaul University passionate about building impactful software solutions. Experienced in developing AI-powered and cross-platform applications with Flutter, Python, and Java. Strong background in project management, team leadership, and hackathon-driven innovation. Recognized nationally for advancing technology in education and sustainability.
Overview
3
3
years of professional experience
Work History
Co-Lead
Nasa Space Apps
Chicago, Illinois
05.2025 - Current
- Coordinated and managed the local NASA Space Apps hackathon, supporting over 600 registrants.
- Oversaw event logistics, team formation, and mentorship coordination.
- Collaborated with NASA’s global organizers and local partners to promote STEM engagement and community innovation.
Judge
Technovation Girls
02.2025 - 07.2025
- Reviewed and evaluated mobile app and AI-based project submissions from teams worldwide.
- Assessed business plans, technical development, user experience, innovation, and community impact according to Technovation's rubric.
- Provided detailed, constructive feedback to help participants strengthen their skills in technology, entrepreneurship, and problem-solving.
Developer
Aleumeta
Almaty, Kazakhstan
06.2022 - 09.2023
- Developed a cross-platform mobile app using Flutter to teach the Kazakh language through interactive AI-driven comics.
- Integrated AI algorithms for personalized learning experiences based on user interaction.
- Led the project, overseeing the design, development, and implementation phases.
Education
Bachelor of Science - Computer Science
DePaul University
Chicago, Illinois06-2027
Skills
- Programming: Python, Java, Kotlin, C, Dart
- Web Development: HTML, CSS, SQL
- Frameworks & Tools: Flutter, Firebase, Git, REST APIs
- Soft Skills: Project Management, Team Leadership, Communication
Projects
Home Safety System with Fire & Sound Detection
• Built a Raspberry Pi system using Python to detect fire and unusual sounds for home safety.
• Implemented real-time alerts to notify users of potential hazards.
Formula 1 Race Prediction
• Built a machine learning model to predict Formula 1 race outcomes using Python.
• Collected and analyzed race data to identify key performance factors such as driver stats, track conditions, and team performance.
TreeChain - Illegal Logging Detection System
• Designed IoT solution using sound sensors to detect chainsaw activity and alert authorities.
Timeline
Co-Lead
Nasa Space Apps
05.2025 - Current
Judge
Technovation Girls
02.2025 - 07.2025
Developer
Aleumeta
06.2022 - 09.2023
Bachelor of Science - Computer Science
DePaul University