Svitlana Koval

About

Full-stack engineer working on a medical practice SaaS, who owned an end-to-end charge entry module handling patient charges/payment workflows and complex client-side data transformations. Also built a fintech rating platform with real-time WebSocket streaming and TradingView-based charting, and has 10 years of university experience mentoring student "startup" capstone projects under tight deadlines.

Experience

Education

Key Strengths

• Owned end-to-end delivery of a complex healthcare charge entry feature (UI, data modeling, validation, production release)
• Client-side normalization/mapping of complex backend data structures (e.g., multi-dimensional diagnosis fields) with synchronization and validation
• Built stable, high-performance production functionality running for 1+ year with positive client feedback
• Strong state management approach (separating UI/local/server/global state; selecting Redux/Zustand/Context appropriately)
• Experience building real-time fintech UI using WebSocket streaming and charting libraries
• Takes LLM prototypes to production with guardrails, validation, auditability, and workflow integration
• Builds production reliability via monitoring/logging, confidence thresholds, fallbacks, and phased rollouts
• Rapid real-time diagnosis of LLM workflow failures (retrieval vs prompt vs tool behavior) with safe rollbacks and feature flags
• Performance stabilization under load (latency spikes) using caching, retries, and prompt/context optimization
• Creates tight user feedback loops in-product (ratings/flags/comments) and converts patterns into prompt/validation/trigger improvements
• Strong technical communication: code-first demos and workshops tailored to senior vs junior developers
• Partners with customer-facing teams to run proof-of-value pilots, address integration/data-accuracy concerns, and drive adoption
• Shipped and owned a complex production charge-entry module (multi-tab UI, large table, multiple modals) running successfully for 1+ year
• Designs workflow-driven routing with nested routes and shareable URL state (filters/pagination)
• Strong client-side data modeling/normalization for complex backend payloads (custom mapping/validation/synchronization)
• Builds resilient UI state flows with rollback on validation failure and partial update handling
• Measurably improved large-table UX/performance via reduced re-renders and row virtualization (validated in React Profiler)
• SQL/data modeling with strong constraints and index strategy; optimizes queries using EXPLAIN ANALYZE and index metrics
• Designs durable backend workflows with retries, idempotency, guarded transitions, versioning, and reconciliation to ensure correctness
• Production-quality engineering practices: layered testing (unit/integration/E2E), structured observability, and pragmatic architecture tradeoffs
• End-to-end feature ownership in fast-moving environments (design, migration, rollout, monitoring, ongoing improvements) and mentoring