Amir Fleurizard

Harvard GAMI Non-profit project focusing on AI Oral Cancer Detection for underprivileged areas.

Utilizing react and cloud technologies to develop a mobile app for medical professionals.

Engaged in intensive coursework focused on interview prep and advanced coding practices, strengthening proficiency in algorithms and data structures. Collaborated with peers on technical assignments and coding challenges.

● Produced 7 dynamic web pages with React, JavaScript, TypeScript, and Bootstrap for improved UX ● Utilized knowledge of RESTFul API’s to design and implement features across our services ● Designed unit tests to ensure security and functionality, boosting overall code coverage by 30% and reducing post-deployment bugs by 45% ● Leveraged AWS, Azure, and cloud computing to enhance scalability, reducing infrastructure costs by 15% ● Developed a feature to automatically create cross account accesses for all users, eliminating 80% of cross account related tickets saving time for QA and senior developers ● Developed and optimized SQL databases for cloud applications, writing efficient queries and managing data pipelines to ensure seamless data storage and retrieval

● Implemented machine learning algorithms for the analysis of a multimodal EEG and fNIRS data ● Synthesized cutting-edge brain signal analysis advancements by conducted ongoing literature reviews and actively engaged with relevant academic journals, conferences, and academic discourse ● Leveraged advanced Python libraries, including Scikit-learn, NumPy, and SciPy, alongside MATLAB, to develop ML models ● Co-authored a research paper on the application of machine learning in brain signal analysis

● Successfully worked in a high-pressure, fast-paced environment ● Fostered stakeholder relationships, ensuring seamless communication across committees ● Planned, managed, and executed over 150 events, overseeing a team of at least 20 people at each event ● Managed a budget of over $500,000 and allocated it to events, marketing, and various committees ● Planned UNC Charlotte's concert for 2 consecutive years, connecting with potential artist, coordinating 100s of event staff and onsite security, and marketing the event, bringing in 10s of thousand of dollars in revenue

● Utilized Python and deep learning models such as YoloV7 to develop precise coral species identification models, supporting coral reef preservation efforts ● Collaborated closely with Coral Restoration Foundation marine biologists to iteratively compare and refine deep learning models, building upon previous research ● Implemented DETR (Detection Transformer) architecture to develop a coral mapping solution, increasing MAP to 54%

● Team-based computing service-learning projects in the community with ongoing partnerships with a number of K-12 schools in the CMS district ● Created lesson plans for students and others interested in learning Computer Science and programming

● Collaborated with Charlotte-based organizations to conduct community outreach ● Led student development through intensive community engagement and projects ● Advocated for social issues facing underrepresented groups in Charlotte through collaboration with the City of Charlotte and various community projects ● Created an edible garden with the aid of volunteers to help those being affected by gentrification in Charlotte

● Conducted comprehensive research to support the development and strategic planning of Gardhouse as a non-profit organization ● Analyzed potential partnership opportunities and facilitated connections between GardHouse and various campus organizations ● Investigated best practices and successful models for non-profit organizations to inform GardHouse's growth and impact strategies

● Helped customers with various task such as spotting weight lifting, purchases, making smoothies, etc. ● Created flyers and social media posts to help the Kraze reach new potential members

Early Entry Masters Alumni with a Concentration in AI