Annika Van Buren

Product & Software Engineering Intern @ H22 | Stanford Computer Science, Human Computer Interaction

United States

About

Computer science student focused on AI, social algorithms, and the mechanics of attention.

Experience

  • Product & Software Engineering Intern at H22
    Aug 2025 - Present · 1 yr

    First employee at H22™ AI, working closely with Founder & CEO Heather Jerrehian from idea stage through launch at Davos, contributing end-to-end across product development, engineering, and growth.

  • Organic Growth Lead at Test Ninjas
    Jun 2024 - Dec 2024 · 7 mos

    •Successfully managed and optimized social media campaigns, using analytics tools to track performance metrics, generate insights, and iteratively refine strategies for maximum impact. •Built the brand’s social media presence from the ground up (@TestNinjasOfficial on Instagram and TikTok), reaching over 1.8 million accounts and generating 7+ million views within three months. •Grew Instagram to 36,000+ followers in 3 months, with 96.5% of engagement driven organically rather than through paid promotions. •Increased new user growth by 125.96% through data-driven audience acquisition and content strategy.

  • Project Intern at ISEP - école d'ingénieurs du numérique
    Jan 2024 - Apr 2024 · 4 mos

    Optimizing the utilization of advanced machine learning algorithms in a cutting-edge recommender system within a personalized AI fitness coaching platform. Improving user outcomes by optimizing platform's efficiency and effectiveness. First author of a paper entitled: "A Clustering Approach to Personalized Coaching Applications". Won Best Student Paper at 16th Internat'l Conf. on Computational Collective Intelligence 2024 in Leipzig Germany.

  • Intern at Eastlink Capital
    Sep 2023 - Dec 2023 · 4 mos

  • Student Researcher at UNC Lineberger Comprehensive Cancer Center
    Aug 2019 - Feb 2020 · 7 mos

    Research with Dr. Colette J. Shen, MD, PhD, and Dr. Tong Zhu, PhD, UNC Lineberger Comprehensive Cancer Center on the effectiveness of short term, high dose radiation (Cyberknife) on brain tumors, as well as evaluating the impact of the radiation on patient outcomes