Vetted REST API Professionals

“Senior engineering leader with 8+ years of hands-on and people leadership experience across data-intensive enterprise platforms. He has led legacy-to-AWS modernization for mission-critical identity data workflows at Deep Sync, built and scaled teams rapidly, and previously helped create a 0-to-1 enterprise analytics platform at Kantar that later scaled to handle 10x more data with major performance gains.”

“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”

“Built and owned core systems for VISTA, a VR drone training simulator in Unity/C#, including modular training scenarios, drone physics, restricted airspace logic, and dynamic weather-aware gameplay. Stands out for combining VR performance discipline on Meta Quest with realistic-yet-trainable flight controls and close collaboration with faculty SMEs to align the simulation with real training workflows.”

“Backend/full-stack engineer who has built AI-powered search and workflow systems in production, including a semantic resume-matching platform for recruiters and internal security data dashboards at ReliaQuest. Stands out for combining modern AI tooling with pragmatic reliability, performance tuning, and strong product intuition in ambiguous environments.”

“Front-end engineer with strong browser UI and accessibility instincts, including ownership of a complex responsive color/style picker for a major paint brand and foundational theming work for a SaaS CMS. Particularly notable for combining progressive enhancement, cross-browser rigor, and accessibility leadership to make polished interfaces work reliably across devices and user needs.”

Vincent Fearing

Screened ReferencesModerate rec.

Junior Full-Stack Engineer specializing in FinTech systems

Austin, TX1y exp

“Full-stack engineer with deep experience in high-stakes integrations: owned end-to-end fintech payment notification/installment tracking at an early-stage startup (FastAPI/React/AWS), including multi-environment routing for live banking partners and reliability patterns like idempotency and retries. Also built a Coachella partner ticketing platform (React/TS/Node/Postgres) with strong concurrency controls and zero-downtime migrations, and previously delivered media-asset ETL/file-sharing automation at Sony Pictures using Frame.io with checksum-verified transfers.”

“Geospatial/simulation specialist who built and shipped high-fidelity 3D visual databases for a DoD-used simulation/render engine, owning the full pipeline from dataset selection and ingestion (imagery/LiDAR/OSM/elevation) through performance testing and delivery. Implemented Python-based AI scripts to auto-detect terrain features and drive automated 3D scene population, and has experience with authoritative client-server synchronization (DIS) plus VR headset performance constraints (Varjo/Oculus/HoloLens at 90Hz).”

“Backend/data engineer who has maintained high-traffic FastAPI microservices and delivered a hybrid AWS serverless+containers platform using Terraform and GitHub Actions, with secrets managed via Secrets Manager/SSM. Also led modernization of a mission-critical 10,000+ line SAS financial reporting engine into Python microservices and built AWS Glue ETL pipelines feeding a centralized data lake.”

“AI/ML engineer with CVS Health experience deploying production LLM systems in regulated healthcare settings, including a large-scale RAG solution (1M+ documents) built for compliance-grade, auditable policy/regulatory Q&A with strong anti-hallucination controls. Also delivered an NLP summarization system for physician notes/case narratives by partnering closely with non-technical care operations stakeholders and iterating via prototypes, dashboards, and feedback loops.”

“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”

“Frontend engineer who led the end-to-end UI for an internal employee catalog tool at Genetec, building React/TypeScript dashboards with complex search filters. Emphasizes tight product-owner feedback loops (weekly demos), Figma-based design alignment, and disciplined delivery practices using CI/CD, automated tests, and version tagging for rollouts/reverts.”