Victor Amaral | Machine Learning & Software Engineer | Los Angeles, CA
Over the last decade, I've built machine learning models and applications for computer vision, natural language processing, and recommendation systems. I've worked in many technology verticals—from consulting to agriculture and health—and many horizons—from Fortune 500 companies to failed startups. I thrive on untangling challenging, vague problems and finding the path forward. I do my best work alongside diverse team players who communicate clearly and show up when it matters.
Work
- 2025 – * exploring, building, connecting, creating
- 2021 – 2025 architected AI that dreams up new boards, helping millions find their next idea—TechCrunch. Tuned the home feed to feel more serendipitous
- 2020 built the first neural recommendation system at a health startup to match patients with providers
- 2019 fine-tuned GPT for sentiment classification before language models were a headline
- 2018 founding engineer at an aerial imagery startup working on image segmentation with U-Nets
- 2016 – 2018 consulting data scientist working on client projects in multivariate time series classification, anomaly detection, and schedule optimization
- 2011 – 2016 student at Johns Hopkins University → BS, MS