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Vetted GPT-4 Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native microservices and real-time systems
Senior Machine Learning Engineer specializing in NLP and Generative AI
Senior Full-Stack AI Engineer specializing in LLM and speech-to-text products
Mid-level Data Scientist specializing in Generative AI and LLM applications
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Senior AI Full-Stack Engineer specializing in GenAI, RAG, and scalable ML systems
Staff Full-Stack Software Engineer specializing in distributed systems and healthcare platforms
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLM apps and MLOps
Senior Full-Stack Python Engineer specializing in cloud microservices and AI/LLM systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Alex M Lee
Staff Full-Stack Engineer specializing in Healthcare AI and FinTech payments
“Backend/data engineer from Oscar Health specializing in healthcare claims systems on AWS. Built HIPAA-compliant real-time services (FastAPI/Postgres/Kafka on EKS) and serverless ingestion pipelines, and led modernization of a legacy SAS claims pricing system to Python/Spark with rigorous parity validation. Demonstrated measurable impact with high uptime/low latency services and major Snowflake performance and cost reductions.”
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI