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Vetted OpenAI Professionals
Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in cloud-native microservices and GenAI
Junior Software Engineer specializing in AWS automation and AI-enabled support tooling
Executive Technology Leader specializing in AI/GenAI and cloud-driven digital transformation
Mid-level AI/ML Engineer specializing in recommendations, NLP, computer vision, and MLOps
Mid-level Backend Engineer specializing in FinTech and cloud-native microservices
Mid-Level Software Engineer specializing in cloud-native microservices and data engineering
Senior Full-Stack AI/ML Engineer specializing in LLM agents and RAG systems
Executive CTO and SaaS Architect specializing in cloud modernization and AI integration
Mid-level Full-Stack Engineer specializing in Java/Spring and React on cloud microservices
Mid-level Data Scientist / GenAI Engineer specializing in LLMs, RAG, and MLOps
Junior Software Engineer specializing in AI/ML and FinTech systems
Engineering Leader specializing in growth platforms and transaction systems
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Intern Data Scientist specializing in NLP and Large Language Models
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Mid-level Full-Stack Engineer specializing in React and Java microservices
Abhyush Rajak
Mid-level Backend Software Engineer specializing in FinTech APIs and microservices
“Backend/event-driven systems engineer who built an end-to-end “software robot” for AI-driven invoice processing: FastAPI ingestion + OCR integration + classification mapping, with strong emphasis on reliability (idempotency, retries) and scalability (background workers, event-driven architecture). Experienced in production-grade distributed systems tooling (Kafka, Docker/Kubernetes, GitHub Actions, ArgoCD) and real-time debugging via tracing/telemetry, and expects $10k–$12k/month.”
“Built and deployed a live LLM-powered platform that takes a LinkedIn job URL + resume and generates job-specific resumes and personalized outreach at scale, with production-grade logging/monitoring/retries on Vercel + Railway. Experienced with agent orchestration (AWS Bedrock/Strands, LangGraph, CrewAI) and rigorous AI workflow testing, plus stakeholder-facing prototypes like data lineage/metadata and NL-to-SQL + dashboard generation.”