William Weishuhn

- Founded and led an AI-driven fintech company specializing in personal finance automation through intelligent decision systems. - Spearheaded product development leveraging machine learning models to analyze, optimize, and automate individual and household finances. - Built and scaled a multidisciplinary team across engineering, data science, and behavioral finance to create a seamless, adaptive financial assistant platform. - Established partnerships with major financial institutions and investors to advance ethical AI adoption in financial services.

- Serving as an AI advisor to The Mars Society, focusing on AI implementation for autonomous systems to support human settlement on Mars. - Designed conceptual frameworks for AI-assisted life support, habitat maintenance, and resource optimization for early Martian missions. - Collaborated with engineers and scientists to assess AI-driven decision-support tools for extreme, resource-limited environments.

- Transitioned into strategic leadership overseeing corporate growth, data strategy, and innovation roadmap. - Led cross-functional initiatives to align data-driven insights with business development goals. - Forged partnerships with enterprise clients to scale Cyberjin’s technology offerings and market presence. - Directed organizational strategy for AI integration, driving measurable performance improvements across operations. Key Achievements: - Increased recruitment efficiency by over 30% through the implementation of machine learning–based decision tools. - Played a pivotal role in transforming Cyberjin into a data-first organization, positioning it competitively in the HR tech landscape.

- Partnered with Cyberjin’s leadership to integrate data science and machine learning into core recruitment operations. - Designed predictive analytics models to enhance candidate-job matching, reduce hiring time, and improve placement quality. - Developed dashboards and data pipelines that provided real-time insights into recruiter performance, hiring funnels, and market trends. - Introduced AI-driven talent scoring systems to identify top candidates based on skill, experience, and behavioral signals.

- Founded and led Biosight Technology, a medical AI company that developed a convolutional neural network (CNN) model capable of detecting brain cancer in MRI scans with accuracy surpassing that of leading physicians. - Designed a clinical decision-support system (CDSS) to assist radiologists and neurosurgeons in diagnostic workflows. - Directed R&D, regulatory strategy, and academic partnerships to validate model efficacy and ensure FDA compliance. Key Achievements: - Awarded 2018’s Most Innovative Startup by PM360 for excellence in AI healthcare innovation. - Reduced diagnostic error rates by over 20% in pilot studies across multiple clinical institutions.

- Created and operated a sustainable footwear brand manufacturing sandals from recycled tires, generating revenue to support orphanages in Guatemala. - Built local manufacturing partnerships, enabling employment opportunities and sustainable community development. - Led marketing, brand storytelling, and e-commerce strategy to scale operations internationally. Impact: - Funded education and housing for over 100 children through sustainable business practices. - Diverted thousands of pounds of rubber waste from landfills through ethical recycling initiatives.

Machine Learning Certification Statistical Learning Computer Science 101 Mining Massive Data Sets Automata Theory Specialization program in Algorithms

Design Thinking and Creativity for Innovation

Software Engineering Essentials

Foundations of Data Science: Computational Thinking with Python

6.0002 Introduction to Computational Thinking 18.06 Linear Algebra

Neural Networks for Machine Learning