Cramer Devin
@cramerdevin
PhD in Computer Science specializing in AI and machine learning.
ZimbabweWhat I'm looking for
I am a passionate computer scientist with a PhD from Stanford University, where I focused on Federated Learning for Privacy-Preserving Machine Learning. My dissertation was published in a prominent journal, showcasing my commitment to advancing AI technologies while ensuring privacy and security. I also hold a Master's degree from MIT, where I developed innovative techniques in Federated Learning, achieving significant improvements in accuracy and compliance for healthcare and finance applications.
Throughout my academic journey, I have honed my technical skills in various programming languages, including Python, Java, and JavaScript/TypeScript. My experience as a Research Assistant at Stanford AI Lab allowed me to collaborate on cutting-edge NLP research, where I successfully improved model accuracy by 15% through novel preprocessing techniques. Additionally, my internship at Black Corp provided me with hands-on experience in full-stack development, where I contributed to deploying a feature that enhanced user experience.
Experience
Work history, roles, and key accomplishments
Research Assistant
Stanford AI Lab
Jan 2021 - Jan 2023 (2 years)
Collaborated on NLP research, enhancing model accuracy by 15% through innovative preprocessing techniques. Engaged in cutting-edge projects within the AI domain, contributing to advancements in natural language processing.
Research Assistant
Stanford AI Lab
Jan 2021 - Jan 2023 (2 years)
Collaborated on NLP research, enhancing model accuracy by 15% through innovative preprocessing techniques. Engaged in various projects related to machine learning and artificial intelligence.
Software Developer Intern
Black Corp
Jul 2019 - Aug 2019 (1 month)
Developed a full-stack feature utilizing JavaScript/TypeScript and SQL, successfully deploying it to production. Gained hands-on experience in software development and project delivery.
Software Developer Intern
Black Corp
Jul 2019 - Aug 2019 (1 month)
Developed a full-stack feature utilizing JavaScript/TypeScript and SQL, successfully deployed to production, contributing to the overall functionality of the application.
Education
Degrees, certifications, and relevant coursework
SUStanford University
PhD, Computer Science
2020 - 2023
Dissertation: Federated Learning for Privacy-Preserving Machine Learning. Published in Decentralized Intelligence: Federated Learning for Privacy-Aware AI.
MTMassachusetts Institute of Technology
MSc, Computer Science
2018 - 2020
Thesis: Developed privacy-preserving techniques in Federated Learning (FL), proposing a robust aggregation mechanism against adversarial attacks and a hybrid framework integrating differential privacy, SMPC, and encryption. Evaluated on CIFAR-10/MNIST, achieving improved accuracy, resilience, and GDPR/HIPAA compliance for healthcare/finance applications. Teaching Assistant for Algorithms Course.
CUCarnegie Mellon University
BSc, Computer Science
2015 - 2018
Graduated with First Class Honours. Key Projects: Optimized neural network for real-time speech recognition and Privacy-Preserving Federated Learning for Medical Diagnosis.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
Job categories
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