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Vetted OpenAI API Professionals
Pre-screened and vetted.
Principal Software Engineer specializing in distributed systems, security, and low-latency platforms
Staff Full-Stack Software Engineer specializing in distributed systems and healthcare platforms
Mid-Level Software Engineer specializing in Cloud SRE and LLM-powered automation
Senior Full-Stack Python Engineer specializing in cloud microservices and AI/LLM systems
Senior Full-Stack Engineer specializing in AI/ML product engineering
Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems
Abhinav Bandaru
Junior Data Scientist specializing in Generative AI and agentic LLM systems
“LLM/agentic-systems builder who has shipped production tools for investment research and procurement insights, including a company screener that processes thousands of conference-listed companies using FireCrawl + Google Search + Gemini. Demonstrates strong orchestration expertise (LangGraph multi-agent graphs), performance optimization (async/batching to sub-30s), and pragmatic reliability/evaluation practices with stakeholder-friendly UX (real-time cost tracking and model/parameter toggles).”
Ronald Nap
Intern Machine Learning & AI Engineer specializing in computer vision and ML systems
“Robotics/ML engineer with internship experience at Valeo building a deep-learning prototype to replace parts of a legacy SLAM backend for autonomous parking, focused on making models run reliably in real time on embedded hardware (quantization/distillation + TensorRT). Also brings strong MLOps/deployment experience (Docker, Kubernetes on AWS EKS, CI via GitHub Actions) and has supported patent filing by explaining the technical approach to legal stakeholders.”
Sason Torosean
Principal Data Scientist specializing in financial risk, forecasting, and applied ML
“ML/NLP practitioner and technical founder who built an AUP risk-scoring model at Bill.com using TF-IDF + SVD features with XGBoost, and previously created automated data-quality guardrails for a Global Equity Risk stacked ML model at Thomson Reuters. Recently built a RAG-based chatbot for PaymentJock’s Home Affordability Probability product using embeddings and a local vector database (FAISS/Chroma), improving answer quality through chunking rather than expensive fine-tuning.”
Mohammed Reyaan
Mid-level Full-Stack Developer specializing in cloud-native web applications
“Frontend-leaning full-stack engineer who built an internal real-time operations dashboard from 0→1 using React, TypeScript, Redux Toolkit, Material UI, and Node.js integrations. Stands out for hands-on performance tuning at scale—profiling and fixing excessive re-renders, optimizing live-update UIs, and iterating post-launch with caching, pagination, and observability.”
Executive Product & Engineering Leader specializing in Enterprise SaaS, AI/ML, and Mobile platforms
Intern Software Engineer specializing in full-stack web development and AI/ML
Junior Software Development Engineer specializing in AI agents and personalization
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Intern AI/ML Engineer specializing in LLM agents, RAG, and low-latency systems
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Staff Software Engineer specializing in cloud-native AI and supply chain platforms