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Vetted Large Language Models (LLMs) Professionals
Pre-screened and vetted.
Principal Data Scientist specializing in ML, NLP, and forecasting for marketing and supply chain
Senior Software Engineer specializing in ML-enabled FinTech SaaS
Senior Applied AI Engineer specializing in LLMs, NLP, and production AI systems
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Executive Technology Leader specializing in FinTech and large-scale data platforms
Executive AI/ML Cloud Architect specializing in enterprise and humanitarian AI systems
Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems
Mid-level Machine Learning Engineer specializing in generative AI, NLP, and MLOps
Senior AI Engineer specializing in machine learning, NLP, and generative AI
Executive technology leader specializing in cloud platforms, AI, and enterprise architecture
Sumer Joshi
Senior Full-Stack Engineer specializing in backend systems and AI applications
“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”
Kowshika M
Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety
“AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.”
Gabrielle Burns
Senior AI/ML Engineer specializing in computer vision, NLP, and enterprise ML systems
“ML/AI engineer with hands-on ownership of production computer vision and GenAI systems, spanning real-time public safety video analytics and RAG-based knowledge assistants. Stands out for translating research-oriented approaches into scalable, monitored production systems with clear business impact, including 50% latency reductions, 25% faster response times, and 40% lower document search time.”
MARCUS JOHNSON
Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
“ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.”
Mid-level Software Development Engineer specializing in cloud platforms, data engineering, and LLM apps
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Entry Software Engineer specializing in AI infrastructure and ML inference systems
Mid-level Machine Learning Engineer specializing in LLMs and RAG systems
Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision