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Vetted OpenAI Professionals
Pre-screened and vetted.
Principal Backend Software Engineer specializing in JVM microservices on AWS
Senior GenAI Engineer specializing in enterprise LLM systems and RAG platforms
Mid-level Machine Learning/AI Engineer specializing in GenAI, RAG, and LLM inference
Junior Software Developer specializing in AI agents and full-stack development
Mid-level Full-Stack GenAI/ML Engineer specializing in agentic AI and RAG systems
Mid-level Full-Stack Developer specializing in cloud-native web apps and LLM integrations
Executive Software Engineering Leader specializing in scalable SaaS and distributed systems
Executive Technology Leader specializing in regulated multi-tenant SaaS and LLM-enabled products
Senior AI Engineer specializing in LLM and generative AI production deployments
Mid-level AI Software Engineer specializing in agentic AI, RAG, and data engineering
Senior Full-Stack Engineer specializing in AI-driven SaaS platforms
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
Anju Vilashni Nandhakumar
Entry-level Machine Learning Engineer specializing in RAG and NLP systems
“Built a 24/7 Python/LangChain email agent in production with validation, circuit breakers, human-review escalation, and structured observability. Also applied data and automation skills at Community Dreams Foundation, including turning a vague donor-insights request into a usable donor-risk prediction workflow and raising ETL reliability from roughly 85% to 99% by diagnosing SQLite concurrency issues.”
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”
Praniket Ketan Walavalkar
Junior AI Software Engineer specializing in RAG agents and cloud data platforms
“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”
Sophie Adams
Senior Full-Stack Engineer specializing in event technology and interactive systems
“Full-stack product engineer in event tech who has owned AI-powered web products from architecture to live production, including a no-code SaaS/marketplace for event activations and real-time AI kiosk experiences. Particularly strong in building for non-technical users in high-stakes live environments, with hands-on experience across Vue/Laravel, LLM workflows, image generation pipelines, and operational reliability.”
Tarang Nair
Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and AI apps
“Early-stage startup full-stack engineer who built an inventory and billing management product for retail shop owners in India, iterating quickly based on customer feedback. Has hands-on experience designing scalable cloud infrastructure on GCP with Kubernetes and applying clean architecture for testable, modular systems; also built internal monitoring dashboards for error and performance visibility.”
Mid-Level Full-Stack Software Engineer specializing in Cloud, Microservices & Distributed Systems
Mid-level Data Scientist specializing in ML and Generative AI (LLMs, NLP, Computer Vision)