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Vetted SQLite Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in large-scale commerce and payments
Senior Full-Stack Engineer specializing in backend platforms and data systems
Sean Brennan
Senior Software Engineer specializing in backend platforms and cloud systems
“Engineer with a track record of taking on messy, high-ambiguity systems that others avoid, including a Python rewrite of Google Search Appliance's settings migrator that achieved 95% test coverage and zero bugs. Has also built internal full-stack planning tools at Capital One using React, Kotlin, and Airflow/DBT data pipelines, and brings specialized insurance analytics experience from catastrophe risk modeling for insurers.”
Shawn Johnson
Senior Full-Stack Software Engineer specializing in security and authentication
“Security-oriented software engineer with experience building high-impact internal and platform features at TikTok and Reddit, including session hijacking prevention, an internal password manager, and a reusable Android passkey SDK. Stands out for combining backend/API ownership, user-driven product improvements, and deep attention to security, performance, and cross-platform compatibility.”
Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations
Senior Software Engineer specializing in AI/ML and LLM-powered applications
Senior Software Engineer specializing in enterprise AI/LLM integration and full-stack systems
Senior Software Engineer specializing in AI-enabled full-stack and backend systems
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Senior Full-Stack Software Engineer specializing in cloud, payments, and telehealth
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Vernon Quan
Senior Full-Stack Software Engineer specializing in TypeScript, React, and Node.js
“Meta engineer who owned a heavily used internal goals/performance management feature end-to-end, driving major responsiveness improvements by restructuring frontend data loading and adding backend caching (Memcached), cache warmups, and query/index tuning. Strong focus on production quality: observability, error monitoring, and improving test coverage to prevent regressions during peak review cycles.”
Mid-level Software Engineer specializing in AI-powered productivity and mobile experiences
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems
Senior Software Engineer specializing in payments, billing, and fraud/risk platforms
Senior Software Engineer specializing in cloud security and identity management
Abhijay Sai Paladugu
Junior Data Scientist specializing in LLM agents, RAG, and reinforcement learning
“McKinsey practitioner who built and deployed production LLM systems for consultants/clients, including a Power BI-integrated multi-agent chatbot (RAG + text-to-SQL + formatting) with custom Python orchestration, verification loops, and a 100+ case eval set achieving ~95% consistency. Also delivered a taxonomy-mapper agent that standardized inconsistent labeling for C-suite stakeholders, cutting a process from >2 weeks to <30 minutes through demos and business-focused communication.”
Intern Software Engineer specializing in full-stack web development and AI/ML
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms