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Nicholas Lu

AI Application Developer
Nicholas Lu is a goal-oriented engineer focused on ML systems and distributed architecture. He works across the MLOps lifecycle, building and maintaining data and model pipelines using Airflow, Spark, Kafka, and Kubernetes. His experience includes deploying containerised workloads with Docker, managing infrastructure via Terraform, and implementing CI/CD with Jenkins, GitLab, and Bitbucket Pipelines. He supports site reliability through monitoring, automation, and incident response in cloud environments (AWS, GCP, Azure, Alibaba Cloud). He codes in Python, Java, SQL, and Bash, and works extensively with Linux and open-source tools.

Anni Huang

AI Application Developer
Anni Huang specialises in artificial intelligence with a strong focus on algorithms, machine learning, and deep learning applied to real-world industrial challenges. Her work spans end-to-end data science pipelines, model development, and deployment, with particular emphasis on MLOps practices. She builds scalable workflows on Google Cloud Platform and is advancing her MLOps capabilities on AWS, covering model versioning, CI/CD, monitoring, and reproducibility. She is proficient in software development, data visualisation using R and Tableau, and translating complex models into production-ready solutions.

Chris Simpson

AI Application Developer
Worked at Syngenta and Charter.
Chris Simpson has been a web developer (HTML, CSS, and JavaScript) for 16 years. His first 8 years were full-stack with C# and ASP.Net, and the last 8 years have been front-end with jQuery, Angular.js, and Vue.js. Most of his web development experience has been with internal tools within Telecommunications, Healthcare, and Biotech. He likes to work with AI, IoT, AU, Blockchain, VR, robots or 3D printing; and/or within software, electronics, material science, sensing, biotech, green tech, frontier research or military tech. He enjoyed doing R&D and prototyping more than production work.

Tin Chu

AI Application Developer
With experience in generative AI, WordPress, and full-stack development.
Tin Chu is a bilingual frontend developer with over eight years of experience in WordPress and full-stack JavaScript web development. At Red Ventures, he has designed and developed websites and microsites to support clients' business initiatives, including online design, SEO, and brand identity. His past clients include Ninjanumber by Cirravox, Riess Group, Zyper.com, UV Digital Services, Sigma Rise, New York City Spine, King.com, and Mandaê.

Artem Gorodetskiy

AI Application Developer
Art director, UI/UX designer, & mobile app developer.
Artem Gorodetskiy is an art director and UX/UI designer with eight years of experience providing services in UX/UI design and strategy, mobile app design, frontend and backend development, and agile product planning. Specializing in Android and iOS design and development, he has developed apps for a range of industries, from hospitality management, telecommunications, and real estate investment. He is highly proficient in Adobe Illustrator, Photoshop, After Effects, InDesign, Sketch, InVision, HTML5, CSS3, and JavaScript. His experience also includes creating ICO and blockchain projects.

James Lee

AI Application Developer
Full-stack web & mobile app developer.
James Lee is a seasoned IT professional with 11 years of experience spanning mobile app development, system analysis, team leadership, and scrum master roles. He has expertise in website development using PHP, WordPress, AngularJS, Python, and Ruby on Rails (RoR) and native and hybrid mobile app development using Swift, Objective-C, React Native, and Ionic framework. As an Android developer at a web development agency in New York, James has worked on both music and video playing applications and interfaced with the Android apps into a remote device management system.
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Frequently asked questions

Most teams see matched candidates within 48 hours. Our pre-vetted network means we are not starting from scratch when you reach out. If we do not have the right person available, we will tell you upfront rather than scramble.
Practitioners vet practitioners. Your growth marketer candidate gets interviewed by someone who has run growth at similar companies, not a recruiter checking keywords. We combine technical assessments, portfolio reviews, and cultural fit screening before anyone reaches your inbox.
Contract talent works on defined projects with clear deliverables. Embedded talent integrates into your team for ongoing work, attending standups and using your tools. Both can transition to full-time if the fit is right. We help you choose based on scope, timeline, and budget.
If it is not working in the first few weeks, we will find you a replacement at no additional cost. We are not in the business of defending bad matches. Most clients never need this because we invest heavily in fit upfront.
We offer flexible engagement models: hourly for short-term projects, monthly retainers for ongoing work, or placement fees for full-time hires. No hidden fees, no long-term contracts unless you want them. Your account manager will walk through options on your discovery call.
Yes. Someone who thrived at Google with dedicated QA, DevOps, and product managers may flounder when they have to wear all three hats. We look for people who have operated at your stage, pace, and level of ambiguity.
Yes, and not just the flashy demo-building part. Our Agent Operations practice includes people who have run AI agents in production and dealt with the messy reality of keeping them reliable, cost-effective, and safe.
Most marketplaces optimize for volume. They send you 10 candidates hoping one sticks. We optimize for fit. We would rather say “we do not have the right person” than waste your time. Our 95% satisfaction rate comes from being selective, not fast.