Vetted Data Visualization Professionals

“Senior frontend engineer focused on building and scaling React + TypeScript dashboard products with real-time data. Emphasizes pragmatic architecture (feature-based modules, local-first state), performance optimization (lazy loading/code splitting/throttling), and safe delivery practices (incremental refactors, tests, feature-flagged rollouts with QA and metrics-driven iteration).”

“Marketing-focused creative/designer producing modern, high-polish speculative campaigns (email, luxury watch ad, Ferrari poster) using Photoshop/Illustrator/Lightroom and presenting them via a self-built portfolio site. Also builds scalable, component-driven systems in Framer and edits marketing videos in DaVinci Resolve with a strong emphasis on early engagement hooks and platform-safe exports.”

“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”

“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”

“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.”

“Frontend engineer who led end-to-end development of a role-based React + TypeScript dashboard (hotel booking management) with deep linking and complex workflows. Emphasizes scalable architecture, strict quality gates (TypeScript strict mode, ESLint, testing, code review), and rigorous state separation (server/URL/local) to prevent stale or mixed-up UI. Proven at performance-focused refactors and fast-paced feature rollouts with tight cross-functional collaboration.”