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Vetted Database Indexing Professionals
Pre-screened and vetted.
Entry-level Full-Stack Software Engineer specializing in streaming infrastructure
Junior Full-Stack Engineer specializing in SaaS and AI-powered web products
Mid-level Digital Marketing Manager specializing in SEO and paid media
Mid-Level Software Engineer specializing in Java/Spring Boot microservices and cloud platforms
Austin Hall
Entry-Level Full-Stack Software Engineer specializing in web applications and APIs
“Backend engineer who built and evolved ConGreG8 end-to-end: a stateless Node/Express REST API on MongoDB for fast, location-based church discovery. Demonstrates strong performance and operability discipline (instrumentation, p95 latency, slow-query analysis) with a reported ~30% response-time improvement, plus security depth via JWT/OAuth and Supabase-style row-level security. Experienced in safe refactors with contract preservation, dual-read validation, and incremental rollouts.”
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.”
Muhammad Zeeshan
Entry Full-Stack Developer specializing in MERN, Next.js, and AI integrations
“Full-stack TypeScript engineer who has owned features from React UI through Express APIs to MongoDB persistence, with hands-on production support after launch. Stands out for improving reliability and engineering speed through shared types, standardized API contracts, service-layer architecture, and practical database performance fixes like indexing and pagination.”
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
Ashutosh Pradhan
Intern Software Developer specializing in full-stack web development
“Full-stack TypeScript engineer with hands-on experience building task/project management features and owning production systems end to end. Stands out for practical production problem-solving across PostgreSQL optimization, authentication reliability, CI/CD improvements, and modular architecture in both task management and e-commerce applications.”
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.”
Jakuan Ahmed
Junior Full-Stack Developer specializing in web applications and backend systems
“Full-stack TypeScript developer with hands-on experience building payment and subscription systems in Next.js/Node.js, plus practical ownership of database performance and production infrastructure issues. Stands out for combining product feature delivery with pragmatic backend architecture improvements and cost-conscious server troubleshooting in live client environments.”