About me
I am a Software Engineer and Researcher passionate about developing innovative solutions in artificial intelligence, VR, and cross-platform applications. I specialize in Python, Java, C, React, Vue.js, Unity, and data-driven systems, with a strong academic foundation in Computer Science and Experimental Psychology from Mount Holyoke College.
My passion lies at the intersection of artificial intelligence, computational neuroscience, and machine learning. I am dedicated to developing innovative solutions that not only enhance user experiences but also advance our understanding of how technology can mimic and augment human cognition. My research focuses on NLP and ML, enabling intelligent systems to understand and interact with humans in a meaningful way. I am also deeply intrigued by computational neuroscience and its potential to shape the future of technology.
What i'm doing
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Full-Stack Development
Expertise in creating robust front-end and back-end systems using React, Django, and SQL.
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AI & Research
Skilled in developing AI models and conducting research in NLP, computer vision, and VR.
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Web development
High-quality development of sites at the professional level.
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Mobile App Development
Experience building cross-platform apps using React Native and Swift for iOS and Android.
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Photography
I make high-quality photos of any category at a professional level.
Endorsements
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Doris Chi, MPH candidate @ Yale
I have been collaborating with Shane on multiple Psychoneurology and Healthcare system projects over the past two years. The rigorousness she took when approaching research, her outstanding analytical abilities and solid coding skillsets, combined with her exceptional work ethic, made her a wonderful collaborator and exemplary junior researcher.
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Dr. Mohammad Nasim, Senior IT Solution Architect @ State of Rhode Island | Adjunct Professor Machine Learning @ Northwood University | GIS Expert
Shane has been an exceptional co-author and collaborator, bringing a unique blend of technical expertise and innovative thinking to our research projects. Her contributions to our work on AI-powered models for real-time fraud detection have been transformative, driving both theoretical advancements and practical applications. What sets Shane apart is not only her deep knowledge of machine learning and software engineering but also her ability to communicate complex concepts clearly and collaborate effectively with multidisciplinary teams. It has been a privilege to work with Shane, and I am excited to see the incredible impact she will continue to make in the field.
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Angie Yin
Shane's technical expertise and collaborative spirit made them a key contributor to the success of our Hackathon project. A true team player with a knack for creative solutions.
