Vetted Software Engineers

“Early-career/learning-stage candidate focused on LLM systems; has not yet built or deployed production AI applications but is actively learning orchestration (Microsoft Semantic Kernel) and core patterns like RAG, embeddings, and model selection based on business requirements.”

Fabricio Anchundia

Screened

Junior Backend/Full-Stack Developer specializing in .NET and microservices

Manabí, Ecuador

“Frontend engineer focused on scalable React + TypeScript applications, with repeated examples of modular architecture, reusable component systems (forms/tables), and keeping business logic out of UI components. Has experience improving maintainability/performance in existing codebases through gradual refactoring, and shipping key features under tight deadlines using MVP scoping and post-launch iteration based on user feedback.”

“AI/LLM engineer who has owned end-to-end production delivery of multi-agent RAG systems on Azure (React + FastAPI + data pipelines + Terraform), including rigorous evaluation/monitoring and reliability guardrails. Shipped an AI-driven observability root-cause analysis assistant that reduced MTTR ~30%, cut alert noise ~20%, and reached ~70% adoption in the first month; also built a clinical document Q&A system with citations and compliance-oriented controls.”

“Early-career full-stack developer who has built and deployed learning projects including a school system dashboard with role-based access and a Node/Express message board, then applied that experience to a real restaurant analytics dashboard in development. Uses AI-assisted tools like Cursor to accelerate coding while manually reviewing outputs, and has hands-on experience debugging frontend/backend issues and validating API inputs.”

Rutvi Rathod

Screened

Junior Full-Stack Software Engineer specializing in AI and web applications

San Jose, CA1y exp

“LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.”

FranciscoJavier León

Screened

Entry Technical Designer specializing in Unreal Engine gameplay systems

Canary Islands, Spain

“UE5 gameplay/Blueprint-focused developer building a modular player interaction/control system between a protagonist and companion. Emphasizes shippable quality through deterministic validation, edge-case resilience (spam, flicker, destroyed targets), event-driven UI, and animation-montage-driven interaction windows; has also optimized the system for scalability by centralizing validation and reducing redundant Blueprint work. Seeking first professional AAA role with $70k–$80k base expectation.”