Jānis Voldemārs Anerauds

Lead a team of 3 engineers building an AI-first Document Intelligence platform, owning the architecture and technical decisions end to end — turning clients' document archives into structured, searchable knowledge with React, TypeScript, PostgreSQL, and Redis on AWS and Kubernetes.

Optimized Django and database interactions to reduce query count 30% and improve performance 25%, enhanced backend processing and APIs to cut response times 15–18%, and accelerated React components by 35%.

Administered office IT and networks, created internal tools that improved operational efficiency ~5%, reduced support response time to under 4 hours, and maintained 99.5% network uptime.

Launched and operated a web services business, delivering dynamic websites and DevOps solutions that increased client engagement ~15%, improved UX metrics 12%, and achieved 99.8% server availability.

Led Django tool development and feature releases, maintained websites with <0.5% downtime, and implemented pixel-perfect UI components for 5+ pages to improve product quality.

Built monitoring and database systems that cut incident awareness time ~30% and improved data retrieval ~15%, modernized legacy scripts raising system performance 25% while enforcing secure engineering practices.

Directed technology strategy and delivered a full-stack platform matching users to psychiatrists with secure communications and privacy-compliant user testing, leading development through an incubator program.

Implemented PSD2 API integrations across four major banks, ensuring compliance with PSD2 and improving cross-platform data exchange efficiency by ~12%.

Completed a Bachelor of Engineering program at Xi'an Jiaotong-Liverpool University with coursework focused on engineering fundamentals and practical applications.