Constructor GenAI Hackathon 2026 - Multi-Agent & Decision Systems
The Constructor GenAI Hackathon 2026 was an engaging four-day event that brought together students and alumni to build, learn, and collaborate on real-world AI solutions. Held as an in-person experience, the hackathon created a dynamic environment where participants worked intensively to tackle industry-driven challenges while expanding their technical and problem-solving skills.
Co-hosted by Constructor University and the Beyond the Pond Alumni Association, and organized in collaboration with BMW, Lovable Platform, Constructor Tech, and Constructor Knowledge Labs, the event successfully bridged the gap between academic talent and enterprise impact. Participants had the opportunity to engage with industry partners, develop innovative solutions, and gain hands-on experience in applying generative AI to real business contexts.
March 27, 2026:
- Hackathon opened with a welcome session and keynote by Philipp Brandt (Class of 2010, Professor and author of Inside Data Science: Hackers and the Making of a New Profession)
- Followed by an industry panel with Philipp Brandt, Andreas Birk (Professor at Constructor University), and Ilya Shimchik (VP of Autonomous Mobility at Constructor), covering topics such as BMW, AI, strategic workforce, and careers.
- Participants were onboarded to the Lovable platform and introduced to the challenge tracks
March 28 & 29, 2026:
- Dedicated build days where participants worked intensively on their projects with continuous mentor support and technical guidance from Lovable. Final submissions were due on Sunday evening.
March 30, 2026:
Hackathon concluded with a hybrid winners announcement
Winning Team — RaceAnalytics:
Second Place — Hermes:
The hackathon brought together Constructor University students and Beyond the Pond alumni from diverse academic and professional backgrounds, including data science, engineering, business, and design. Participants of all experience levels were welcome, with interdisciplinary collaboration at the core of the event.
Teams were formed in groups of 2-3 participants. While some joined with pre-formed teams, others registered individually and were matched with teammates through Constructor Connect, ensuring a balanced and collaborative team dynamic.
All teams developed their solutions using Lovable, a no-code/low-code platform that enabled participants to build AI-powered applications without complex infrastructure. This allowed both experienced developers and newcomers to rapidly prototype and bring their ideas to life.
Participants engaged in three industry-relevant tracks, each designed to address real-world challenges through the application of AI:
BMW - AI for People & Leadership Strategy
This track explored how AI can support smarter decision-making within a global organization. Teams developed GenAI solutions focused on workforce and leadership strategy, including talent identification, succession planning, upskilling pathways, and compensation insights. The emphasis remained on enhancing, not replacing, human decision-making.
Mentors/Experts:
- Dr. Ishansh Gupta (Class of 2024; AI & Digitalization, BMW)
- Raveen Ranasinghe (Class of 2025; GenAI Deployment Expert)
Prizes:
- Direct interview opportunities at BMW
- Referrals
- BMW merchandise
- Lovable credits
- A place in the Constructor Accelerator Program
Constructor Knowledge Labs - Autonomous Racing
Participants worked with real-world sensor data, including synchronized camera and LiDAR inputs from an autonomous racing car. The challenge focused on building perception and localization algorithms to enable real-time navigation, offering a hands-on experience in high-performance engineering and applied AI.
Mentor/Expert:
- Ilya Shimchik (VP of Autonomous Mobility at Constructor)
Prizes:
- Internship opportunities
- Referrals
- Lovable credits
- A place in the Constructor Accelerator Program
Constructor Tech - Understanding Learner Engagement
This track focused on applying AI to improve educational experiences. Teams developed video processing pipelines to analyze lecture recordings, detect behavioral signals such as inactivity or attention patterns, and classify engagement levels to support personalized learning.
Prizes:
- Internship opportunities
- Referrals
- Lovable credits
- A place in the Constructor Accelerator Program
We would like to extend our sincere gratitude to our mentors and experts - Dr. Ishansh Gupta, Raveen Ranasinghe, and Ilya Shimchik - for their invaluable guidance, insights, and continuous support throughout the hackathon.
We also thank our partners and collaborators - BMW, Lovable Platform, Constructor Tech, and Constructor Knowledge Labs - whose support and collaboration made the Constructor GenAI Hackathon possible.
Finally, we thank all participants for their creativity, commitment, and collaborative spirit, which made the hackathon a truly impactful experience.
Event Highlights
