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Danaid Sinani

Intern Machine Learning & Full-Stack Engineer specializing in OCR and AI document pipelines

Massachusetts Registry of DeedsBoston UniversityBoston, MA2 Years ExperienceIntern LevelWorks On-Site

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About

Full-stack product engineer who has shipped polished customer-facing experiences across iOS (SwiftUI), web (Next.js/React/TypeScript), and Python backends. Built systems ranging from an escalating smart-reminder engine to a sub-200ms search UI over 6M+ court records, and owned AWS production operations including resolving a real DB-connection-exhaustion incident with scaling and architectural hardening.

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Key Strengths

  • Shipped end-to-end customer-facing features across mobile, web, and backend
  • Reliability-focused notification/reminder systems (idempotent scheduling, state reconciliation, caps/quiet hours)
  • Performance-minded frontend for large datasets (6M+ records, sub-200ms search)
  • Strong UX polish and edge-case handling (loading/empty states, keyboard-friendly filters, responsive transitions)
  • Production-grade API design (versioning, consistent JSON errors with request IDs, RBAC)
  • Clean service architecture with testable adapters and strong automated testing (unit + contract tests)
  • AWS production operations and incident response (DB connection exhaustion, scaling, hotfixes, hardening with RDS Proxy)
  • Postgres schema design for auditability and scale (indexes, JSONB/GIN, query-log-driven iteration)

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Experience

Machine Learning Engineer InternMassachusetts Registry of Deeds · Sep 2025 – Dec 2025internship
Software Engineer InternMILL5 · May 2025 – Sep 2025internship
Full Stack Engineer InternCivera · Jan 2025 – May 2025internship
AI FellowMIT · May 2024 – May 2025

Education

Boston Universitybachelor, Computer Science

Awards

  • EASYA Hackathon @ Harvard - 1st Place Winner for Composable dApps & Interoperable Infrastructure Track

Languages

English

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Connect with Danaid

Danaid already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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Danaid SinaniIntern Machine Learning & Full-Stack Engineer specializing in OCR and AI document pipelines