Vetted Adaptability Professionals

“Unity generalist and lead engineer with shipped Meta Quest VR experience, including leading the refactor of BoxVR into FitXR (subscription multi-studio fitness app) and running the core tech team. Also built and shipped a mobile wingsuit game (Wingsuit Pro) with one artist that reached #1 in Sports in 8 regions, demonstrating strong gameplay iteration and performance optimization expertise.”

“Backend engineer with insurance/claims domain experience who modernized legacy claims processing systems to support AI-assisted claim review. Emphasizes production-ready API design in Python/FastAPI (schemas, async, caching, graceful degradation), strong observability with Prometheus, and layered security including JWT auth plus database row-level security (Supabase/Postgres).”

“UK-based Unity/VR generalist who shipped a Meta Quest VR installation to art galleries worldwide while at Julian Opie Studio, acting as sole programmer and producing the art pipeline. Built a custom Spatial Anchors-based spatial mapping system with little documentation and developed real-world operational procedures to keep installations stable for exhibitions with hundreds of daily visitors. Also contracted as a 3D generalist at Blue Zoo, producing all assets/animations and environment setup for a Tate Gallery kids game, finishing ahead of schedule.”

“Cloud/hybrid infrastructure engineer with McKesson experience migrating tightly coupled healthcare applications to microservices on AWS EKS. Strong in IaC-driven standardization, CI/CD automation, and production observability (CloudWatch/Splunk/Prometheus/tracing), with demonstrated ability to debug complex incidents spanning Kubernetes and cloud networking.”

“QA tester with hands-on API and web testing experience (functional, E2E, regression, sanity, performance) looking to transition into console game testing. Understands the need for platform-specific validation across console models/firmware and is aware of Sony TRC, Microsoft XR, and Nintendo LOT certification requirements, with a structured, risk-based approach to prioritization and release support.”

“Full-stack engineer who modernized mission-critical legacy COBOL/AS400 systems into a Java + Angular/TypeScript web application, owning backend APIs, UI, database performance tuning, and JWT security end-to-end. Built and transitioned an internal docketing/hearing scheduling system with complex business rules, emphasizing smooth adoption, performance, and quality through phased agile delivery.”

“LLM/agentic AI builder who led end-to-end integration of an LLM system into a business intelligence product, creating a scalable, metadata-driven RAG/agent pipeline with an orchestrator that routes queries to specialized agents (including DB-backed quantitative querying). Also built an LLM-to-SQL chatbot and partnered with non-technical stakeholders to capture domain context and improve SQL generation, using automated LLM-based testing to evaluate reliability.”

“Candidate’s primary change-management approach centers on employee dialogue sessions and coaching, focusing on explaining business results and organizational climate to build employee understanding and support for organizational changes.”

“Performance marketer from Fitbit who owned the highest-funded paid media efforts, managing multi-million-dollar monthly budgets across Meta, Google Search, and Performance Max with a disciplined experimentation framework. Demonstrated impact includes a 25% conversion-rate lift and 10% retention improvement, plus strong marginal-CAC-based budget reallocation and creative-fatigue recovery to protect blended efficiency at scale. Seeking a full-time role with clear ownership of growth levers and fast, data-driven execution.”

“AI/ML engineer (Merkle) with hands-on experience deploying RAG-based LLM applications and real-time recommendation engines into production. Strong in cloud/on-prem architectures, GPU autoscaling, caching, and network optimization—delivered measurable latency reductions (40–70%) and improved retrieval relevance by systematically benchmarking chunking/embedding configurations and validating pipelines via CI/CD.”