Teams at Massive Alliance

Lead end-to-end applied ML: turn problems into datasets, experiments, and production models. Build Python production systems for data collection, feature extraction, scoring, APIs, and observability. Improve LLM systems, handle untrusted data safely, evaluate models and backtests, and work directly with stakeholders to prioritize and iterate.

Own end-to-end data science and analytics: build production Python systems, develop and deploy predictive models, write SQL and dashboards, turn messy data into actionable decisions, and work directly with stakeholders to iterate and ship reliable production features.

Mentor and support early-stage crypto and AI founders through an accelerator: evaluate applicants, guide product-market fit and fundraising, prepare Demo Day, introduce startups to investors, advise on pivots and high-stakes moments, and produce public content to amplify Alliance.