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Danilo Batson
Senior Full-Stack Engineer specializing in React Native/Next.js and crypto analytics
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About
AI/LLM engineer with crypto/social-data domain experience who built an end-to-end AI trading signals and analysis backend using Next.js, Inngest, Gemini, and Supabase, including real-time progress UX and robust rate-limit/reliability handling. Also published an MCP SDK on NPM for authenticated agent tool access and built autonomous Twitter-based AI agents; strengthened reliability at LunarCrush by adding CI-gated E2E testing across web and mobile (Cypress/Maestro).
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Key Strengths
- Built and shipped production-critical AI/LLM trading signals pipeline end-to-end (prototype to deployment)
- Strong LLM reliability engineering (strict typed parsing, validation, safe fallbacks for malformed outputs)
- Designs around API rate limits with batching/delays and retryable step orchestration
- Delivers strong UX for AI workflows via real-time progress tracking (Supabase subscriptions)
- Owns ambiguous projects end-to-end (scoped and shipped an AI Twitter crypto-analysis bot with no spec/budget)
- Pragmatic tradeoff decision-making (latency vs cost; quality vs speed; concise outputs within constraints)
- Built agent/tooling infrastructure (MCP SDK on NPM enabling authenticated agent access to platform data)
- Improved production reliability by implementing CI-gated E2E testing across web/mobile, preventing regressions
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Experience
Skills
Languages
Publications
20 publications
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