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Vetted NestJS Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
Staff Software Engineer specializing in FinTech and payments platforms
Senior Software Engineer specializing in full-stack web platforms and cloud-native backend systems
Senior Software Engineer specializing in distributed systems and streaming platforms
Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems
Senior Full-Stack Software Engineer specializing in Healthcare AI and MVP delivery
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Senior Software Engineer specializing in distributed systems and AI-enabled platforms
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior Software Engineer specializing in AI/ML tooling and data platforms
Senior Full-Stack AI Engineer specializing in cloud-native and enterprise AI systems
Senior Full-Stack Software Engineer specializing in cloud platforms and AI data systems
Senior Full-Stack Software Engineer specializing in cloud and enterprise web platforms
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Senior Full-Stack Engineer specializing in cloud-native platforms and distributed systems
Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Christopher Kanten
Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms
“Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.”
Suqing Liu
Junior Applied AI Software Engineer specializing in LLM agents and RAG systems
“Engineer focused on AI-powered developer automation and agent-driven software delivery, with experience spanning customer-facing edtech and internal tooling. They describe building a K-12 chatbot-based learning platform for the York Region public school system and creating internal automations like code-generation pipelines and diff summarization tools adopted across teams, alongside work on legacy encrypted messaging systems at Instagram/Meta.”