Skills: Acquired proficiency in essential tools and technologies, including Git, TensorFlow, SQLAlchemy, OpenCV, and the end-to-end machine learning process
End-to-End Architecture: Orchestrated a data pipeline involving diverse dataset collection, OpenCV annotation, and SQLAlchemy-based preprocessing, coupled with a machine learning pipeline employing TensorFlow for model training and cloud services for scalable deployment.
Cloud Use: Utilized AWS storage services for efficient data handling, compute resources for model training, and deployment services for making the trained models accessible in real-time or batch processing scenarios.
Education
Bachelor of Science - Computer Science with minor in Business
SerenAI: AI mental health counselor leveraging computer vision and natural language processing to analyze and report on user's mental health. This project involved creating algorithms capable of interpreting emotional cues and language patterns to provide an insightful assessment of mental well-being.
EcoIntelliSense: Location-based analytics tool that provides users with data on construction costs and environmental viability. The project harnesses pysolar and cloud technologies to offer real-time insights, aiding in sustainable and cost-effective construction planning.
Jester: Comedy-focused project that generates TikTok-style educational videos. Utilized machine learning models to mimic voices of notable figures like Obama and Trump, enhancing the educational content's engagement. The project was developed using FlutterFlow and integrated with Firebase for backend management.
Timeline
Intern
RandomTrees Data & AI Innovations
05.2023 - 07.2023
Bachelor of Science - Computer Science with minor in Business