Software Engineer | AI Enthusiast | Educator
Based in San Francisco
I am pursuing a Bachelor's in Computational & Natural Sciences with a focus on Software Engineering and Artificial Intelligence at Minerva University. My academic journey combines rigorous coursework in Data Structures & Algorithms and Theory of Computation with hands-on experience in software development and AI applications. I'm passionate about using technology to solve real-world problems and have a particular interest in machine learning and educational technology.
Headstarter AI | San Francisco, CA | Jul 2024 – Sep 2024
Breakthrough Twin Cities | Minneapolis, MN | Jun 2024 – Aug 2024
Children Helping Science (CHS) | Sep 2024 – present
React.js, Node.js, SQL, NLP, Python
Engineered Islamic chatbot web app with NLP capabilities and 1.4M+ data segments
React.js, Three.js, TailwindCSS
Created immersive 3D solar system visualization with interactive planet models
Python, OOP, NumPy, Pandas
Developed algorithms for genetic tree construction analyzing DNA sequences
Mobile App Development
Award-winning mobile app for calculating and reducing carbon footprints
I explored how wearable technology, like Fitbits and Apple Watches, impacts the physical activity of university students. Through literature reviews and trend analysis, I discovered that wearables boost activity levels initially but face engagement challenges over time. Reflecting on my findings, I plan to focus future research on tailoring wearable feedback to student lifestyles and integrating behavioral interventions to enhance long-term effectiveness
During my visit to the Museo Argentino de Ciencias Naturales Bernardino Rivadavia in Buenos Aires, I had the chance to explore exhibits that deepened my understanding of geology and planetary science. Two exhibits stood out to me: a magnetite specimen and the El Toba meteorite. Observing the magnetite, I connected its magnetic properties and crystal structure to Earth’s tectonic history, gaining insight into how minerals record ancient geological shifts. The El Toba meteorite, on the other hand, revealed clues about planetary formation, highlighting the processes that shaped both Earth and other celestial bodies. These exhibits allowed me to appreciate how interconnected Earth’s systems are, linking local geology to broader planetary contexts, and reaffirmed the importance of evidence-based scientific inquiry in understanding our universe.
In October 2023, I developed a Task Scheduler application to optimize task management and resource allocation. Using Python, NumPy, and priority queues within a Jupyter Notebook environment, I implemented algorithms to automate scheduling through utility-based methods. This project allowed me to design a system that prioritizes tasks, allocates time slots efficiently, and tracks progress seamlessly. Through this assignment, I honed my skills in algorithm development and workflow optimization, while creating an intuitive platform that enhances productivity by simplifying task organization.
Python, C++, SQL, HTML/CSS, JavaScript, Arduino
React.js, Flask, NumPy, Pandas, BeautifulSoup, Three.js, Node.js, Express.js
Git, Jupyter Notebook, Google Cloud Platform, VS Code, Vercel
Scientific Method, Machine Learning, AI, Data Analysis
Top 20 teams worldwide out of 835 submissions across 50 countries
Selected to present to Academy of Scientific Research & Technology
Intro to Cybersecurity (CYB101) & Technical Interview Prep (TIP101)
Networked with startup founders and industry experts, gaining valuable insights into the startup ecosystem
Participated in multiple hackathons, developing innovative solutions under time constraints
Attended various technology conferences to stay current with industry trends