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Vetted Large Language Models (LLMs) Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML
Executive Engineering Leader specializing in AI/ML, data platforms, and FinTech payments
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML
Director-level Data Science leader specializing in AI/ML for biotechnology and drug discovery
Mid-level Business Analyst specializing in data analytics and financial systems
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Mid-level Business Analyst specializing in FinTech, logistics, and data analytics
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Executive Business Development & Product Management leader in IoT, SaaS/Cloud and Mobile
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
Senior Data Scientist specializing in Generative AI and conversational AI
Senior Software Engineer specializing in AWS distributed systems and developer tools
Executive technology leader specializing in AI, cloud, and venture-backed innovation
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”
Ashi Sinha
Junior Software Engineer specializing in full-stack and ML/NLP systems
“Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.”
Osvaldo Calles
Senior Software Engineer specializing in developer tools, cloud automation, and generative AI
“Built and deployed a production chatbot on osvaldocalles.com and iterated through real-world LLM engineering issues: model quota/cost tradeoffs (migrating to Nova Pro), RAG accuracy via semantic chunking, AWS IAM/guardrail/security pitfalls, and Lambda/API Gateway streaming constraints (prefers JS for streaming layer). Experienced with agent orchestration using Strands SDK (AWS-focused) and LangGraph (Vercel/container deployments), plus evaluation pipelines using LLM-as-evaluator, dashboards, and staged model rollouts.”
Daniel Benyamin
Executive AI and product leader specializing in media, advertising, and data platforms
“Serial entrepreneur in marketing and advertising who has founded four companies, most of them venture-backed. Has raised pre-seed and other venture funding multiple times, mentored at Techstars, and brings a strong investor network plus firsthand experience across the VC, accelerator, and launchpad ecosystem.”
Jeremiah Medina
Senior AI/ML Engineer specializing in LLMs, RAG, and cloud-native MLOps
“Built and owned a real-time clinical AI assistant at Andor Health, taking it from prototype through deployment, monitoring, and iterative improvement. Brings strong healthcare-focused GenAI experience across RAG, hybrid retrieval, LoRA fine-tuning, and production Python services, with measurable gains in accuracy, speed, and reliability.”
Sterling Campbell
Senior Cloud Infrastructure Architect specializing in multi-cloud, DevOps, and AI/ML platforms
“Engineering leader (Director of Development) with hands-on cloud and product experience who builds business-aligned technology roadmaps and scales teams. Delivered an enterprise cloud-migration enabler at UHG by implementing AD authentication and Terraform-based IaC for custom VM images while meeting 90-day InfoSec patch/rotation requirements, and drove a 20% lift in user consumption/retention by designing an interactive branded media portal experience for Sunkist.”