Vetted Data Modeling Professionals

“Frontend engineer who has led end-to-end architecture for enterprise B2B SaaS (order management/invoicing/reporting) across web (React/Next.js/TypeScript) and mobile (React Native/Expo), with strong emphasis on quality, performance, and accessibility. Notable for modernizing a legacy React/Redux codebase with quantified improvements (15% faster loads, 65% fewer bugs, test coverage 40%→75%) and for implementing production-safe rollout practices (dogfooding, canary releases, kill switch).”

“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”

“Early-career/learning-stage candidate focused on LLM systems; has not yet built or deployed production AI applications but is actively learning orchestration (Microsoft Semantic Kernel) and core patterns like RAG, embeddings, and model selection based on business requirements.”