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Vetted FastAPI Professionals
Pre-screened and vetted.
Mid-level Python Developer specializing in APIs, microservices, and data-driven e-commerce systems
Mid-level Backend Software Engineer specializing in Python microservices and cloud-native APIs
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Junior Full-Stack/DevOps Engineer specializing in AWS, Kubernetes, and AI model evaluation
Junior Full-Stack & ML Engineer specializing in AI products and real-time systems
Senior Full-Stack Engineer specializing in React, Java/Spring Boot, and Python microservices
Senior Full-Stack Python Developer specializing in Django, FastAPI, and cloud platforms
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Senior AI Python Engineer specializing in Generative AI and MLOps
Vincent Fearing
Junior Full-Stack Engineer specializing in FinTech systems
“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.”
Banchode Hari
Mid-level Full-Stack Developer specializing in microservices and event-driven systems
“Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.”