Co-Founder & Lead Software Engineer
Founded and lead technical development of AI-powered livestock management platform using computer vision for cattle weight estimation. Scaled to 193 farms, 448 users, and 70,000+ animals with 93% accuracy.
Key Achievements
- Co-founded AgTech startup winning national 'Desafío AgTech 2023' competition
- Architected end-to-end cattle weighing automated process, processing 100K evaluations monthly across 70K animals, reducing weighing time from 4 hours to 30 minutes per session, saving 50 hours/month per farm.
- Developed computer vision pipeline using deep learning and FastAPI microservice, achieving 93% weight prediction accuracy.
- Led technical team of 3 developers, establishing coding standards and mentoring practices, while remaining hands-on with code, balancing strategic decisions with execution.
- Deployed on AWS (IAM, VCP, ECS, RDS, S3) with 77% test coverage and CI/CD via GitHub Actions
Responsibilities
- Own complete technical strategy from requirements to architecture and deployment
- Drive product roadmap based on direct customer feedback from producers
- Design multi-tenant architecture supporting 193 simultaneous farms
- Build offline-first synchronization for unreliable rural connectivity