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Vetted OpenAI API Professionals
Pre-screened and vetted.
Robert Floria
Mid-Level Full-Stack Engineer specializing in React/Next.js and Node/NestJS
“Frontend engineer who led an end-to-end responsive enterprise banking platform in a regulated environment, emphasizing domain-based architecture, strict TypeScript contracts, and explicit state-machine-like flow modeling. Implemented Redux + React Query state separation, claimed 100% Jest coverage, and improved Jenkins CI/CD to speed deployments ~30% while also resolving major re-render performance bottlenecks.”
Ankit Kumar Nath
Mid-Level Full-Stack Developer specializing in web, mobile, and AI-powered applications
“Full-stack engineer who built a live-streaming edtech platform at KratosIQ, owning the entire frontend and the backend streaming layer. Notably migrated the system from a P2P mesh to an SFU architecture to handle scaling under heavy load, and delivered measurable React performance gains (450ms to 40ms render time) validated via Lighthouse and web vitals.”
Mid-level Data Scientist specializing in Generative AI, RAG systems, and MLOps
Junior Cloud Software Engineer specializing in AWS serverless and data platforms
Mid-Level Full-Stack Developer specializing in automation and AI pipelines
Executive Startup CTO specializing in rapid SaaS delivery and scaling teams to acquisition
Mid-Level Software Engineer specializing in full-stack and AI/LLM evaluation
Intern Full-Stack Developer specializing in AI and web applications
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Senior Full-Stack Engineer specializing in cloud-native platforms, DevOps, and Kubernetes
Junior Full-Stack Developer specializing in AI and cloud-native systems
Mid-level GenAI/ML Engineer specializing in RAG, semantic search, and LLM systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI and RAG assistants
Junior Software Engineer specializing in backend, microservices, and cloud
Sai Krishna Sriram
Mid-level Generative AI & ML Engineer specializing in production LLM and RAG systems
“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”
Dhruv Kamalesh Kumar
Mid-level Generative AI Engineer specializing in LLM agents and RAG applications
“GenAI builder and technical lead with ~2 years of hands-on production experience, including GENIE (a GenAI sandbox for ~44,000 Massachusetts public-sector employees) and A-IEP, a multilingual platform helping parents understand complex IEP documents (cut processing from ~15 minutes to ~2 and used by 1,000+ parents). Strong in RAG/agentic architectures, AWS serverless + Step Functions orchestration, and rigorous evaluation/guardrails for reliable real-world deployments.”
Tanweer Ashif
Mid-level AI/ML Engineer and Data Scientist specializing in LLMs and MLOps
“Data science/AI intern at University at Buffalo Business Services who built and deployed production systems spanning classic ML and LLM assistants. Delivered real-time competitor intelligence for a Cornell-partnered, $1B beverage launch by scraping/cleaning 5,000+ SKUs and deploying models via API, then built a domain-aware LLM assistant to modernize Excel-based workflows with strong grounding, privacy controls, and sub-5s latency.”