Curriculum Vitae

Ph.D., Computer Science

University at Buffalo, SUNY

Advisor: A. Erdem Sariyüce

M.S., Robotics & Artificial Intelligence

University at Buffalo, SUNY

B.S., Computer Science

Wake Forest University

Lead, AI Curriculum

University at Buffalo School of Management · Center for Intelligent Finance & Fintech (CIFF)

• Build the AI curriculum for CIFF, reporting to the chair of the Finance department and the dean of the School of Management.
• Develop graduate and executive modules that apply modern machine learning to financial decision problems — valuation, trading systems, and model governance — with hands-on Python labs.
• Design and deliver programs for academic and executive audiences, including financial institutions, nonprofits, and international partner programs.

Adjunct Faculty

University at Buffalo, School of Engineering & Applied Sciences

• Teach five graduate courses — Deep Learning, Machine Learning, Pattern Recognition, Algorithms, and AI — to 300+ students.
• Develop curricula that pair theoretical foundations with hands-on lab work in PyTorch.
• Mentor 20+ graduate thesis students on research projects and academic writing in machine learning.

Founder & Host Community

AI Office Hours

• Founded an open AI learning community that grew to 2,800+ members in its first three months, averaging about 100 attendees per live session.
• Run live sessions, workshop series, and written deep dives on LLMs and deep learning across Meetup, Discord, YouTube, LinkedIn, and Substack.

Lead STEM Instructor Part-time

WhyMaker

• Lead STEM education initiatives in physics and emerging technology.
• Run hands-on workshops in partnership with the New York Power Authority.
• Designed a bootcamp introducing students to AI applications in drone technology.

Graduate Teaching Assistant

University at Buffalo

• Led recitation sessions and one-on-one mentoring for 200+ students in machine and deep learning courses.
• Held office hours covering backpropagation, CNNs, LLMs, regularization, and optimization.

Machine Learning Engineer

Zhejiang University · Hangzhou, China

• Built a deep-learning bone-age detection system using CNNs for orthopedic diagnostics.
• Deployed at Zhejiang No. 1 People's Hospital, Hangzhou; applied image preprocessing, augmentation, and CNN feature extraction in PyTorch.

Software Engineer Intern

Nanjing Onappure Tech

• Maintained the water-quality database powering the Fresh Water, Rural China initiative; improved the report-alignment pipeline.
• Modernized the corporate website (HTML / CSS / JavaScript). Recognized as Best Intern of Summer 2017.

Multi-Human Pose Estimation

Bottom-up keypoint localization with graph-based grouping for 2D multi-person pose estimation.

Course Registration Website

Led the development of a PHP-based course-registration system; iterated on user feedback to ship a functional product on a tight schedule.