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Vetted Database Indexing Professionals
Pre-screened and vetted.
Anel Kujovic
Mid-level Full-Stack Developer specializing in modern web apps and real-time dashboards
“Full-stack developer who built and shipped Asrify.com (a combined Jira + Hubstaff-style app) end-to-end using PostgreSQL/Laravel/Vue/Docker with unit tests and Cypress. Also worked on an Australian school management platform (Qobox) with multiple portals (staff/students/guardians), focusing on scalability via query optimization, indexing, and Redis caching; strong in React but not in Java/SpringBoot.”
Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
“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.”
Junior Full-Stack Data Engineer specializing in data pipelines and analytics
Mohammad Rostom
Intern Full-Stack Software Engineer specializing in AI-powered RAG systems
“Built FlowPilot, an AI-powered product that generates complete importable n8n workflows from natural-language prompts using a RAG pipeline (Qdrant + LangChain) and a multi-stage agent with a scoring/repair 'Judge' loop for intent alignment. Experienced in backend architecture across Laravel/Node microservices and production AI/RAG systems, plus performance debugging from async job offloading to database index tuning after ORM migrations.”