consultancy ai • 2m
is it a ideal thing to do for a technical mvp architecture high level ones for an startup? - Mobile frontend: React Native or Flutter (fast to ship cross-platform). - ML models: PyTorch/TensorFlow depending on preference. - Backend: Python services (FastAPI) for logic + trading engine. - Real-time market data: use feeds / exchange APIs / broker API. - Database: Postgres (orders, users), Redis (caching), ClickHouse or similar for time-series later. - Backtesting: Backtrader / custom engine for speed. - Deployment: Docker → VPS or cloud (AWS/GCP) → later Kubernetes. - CI/CD, monitoring (Sentry, Prometheus).
Buidling FedUp| AI R... • 4m
From 100+ Rejections to Building the Future of AI 3 years ago, every major tech giant said “no” to me: Microsoft, Apple, Google. But rejection wasn’t failure — it was redirection. What I’ve built since then: Led AI research @ Tomas Bata Univ. — bo
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Building @ProCommune... • 11m
What’s in a name, right? While introductions can wait, the mission to create impact cannot. In my first Medium article, "Leveraging Google Technology To End Poverty", I explore how cutting-edge tools like Google Earth Engine, TensorFlow, and Androi
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