Vetted Database Indexing Professionals

“Master's student who built and owned a recruiter-focused full-stack dashboard with real-time updates, large candidate datasets, and performance-sensitive React UI workflows. Stands out for practical front-end optimization work using Chrome DevTools, CSS/rendering fixes, and TypeScript to improve speed, usability, and maintainability.”

Faisal Hayat

Screened

Senior Python Full-Stack Engineer specializing in AI-powered backend systems

Lahore, Pakistan6y exp

“Backend-leaning full-stack engineer with startup experience building AI-powered products and ERP/SaaS platforms. They’ve delivered Python/FastAPI/Django and React systems on AWS, including an AI document processing platform and business workflow tools used by thousands of users, with strong hands-on depth in database optimization and production operations.”

Xuebin Dong

Screened

Mid-level Software Engineer specializing in distributed systems and healthcare data platforms

San Diego, CA4y exp

“Full-stack and AI engineer who built both a large-scale clinical imaging dataset exploration engine and DMP Chef, an open-source LLM product for generating funder-compliant Data Management Plans. Stands out for combining strong product ownership, data-intensive backend architecture, and practical LLM systems work with retrieval, structured outputs, evals, and human-in-the-loop compliance safeguards.”

“Built an AI GTM Copilot that consolidated 5+ sales tools into a single browser-based workflow for sales teams, combining LLMs, data enrichment, and outreach automation. Brings a rare blend of ML, backend, and front-end experience, with concrete wins in performance optimization, workflow design, and measurable UX improvements.”

“Full-stack engineer with experience building a NASA-funded simulation management platform using React, TypeScript, Next.js, PostgreSQL, AWS, and Docker. Stands out for owning complex, long-running workflow features end to end in production and driving measurable performance improvements, including a 40% database load reduction and API latency improvements from roughly 500ms to under 200ms through Redis caching and async architecture.”

“Full-stack engineer with strong AWS operations experience who helped replace a long-standing manual logistics reporting process by building a production-grade, event-driven On-Time-Performance rules system. Personally owned the Vue-based rule configuration frontend end-to-end (design collaboration through QA/UAT and post-release support) and measures success via accuracy validation against historical data, reduced manual adjustments/tickets, and system latency/error metrics.”

“Founding engineer at a recruiting SaaS startup who helped build the product from scratch through Series A, then went on to build a production compliance filing platform handling regulated BOI/RRE workflows. Strong Rails-centric full-stack engineer with hands-on experience in startup ambiguity, third-party integrations, bulk processing, and audit-friendly data systems.”