.png){kind=logo}
Vetted Vercel Professionals
Pre-screened and vetted.
Michael LoPresti
Executive Engineering Leader specializing in cloud-native platforms and global team scaling
“Entrepreneurially driven technical leader seeking to partner with a founder/business plan owner to provide technical expertise. Helped drive Wiser's expansion into Europe by evaluating acquisition targets' technical estates and making the recommendation that was chosen. Applied lean, high-leverage product thinking at Nabis on a two-sided marketplace, delivering buyer value with a simple algorithm and later adding paid boosting for brands.”
Junior Full-Stack Engineer specializing in React, TypeScript, and cloud-native apps
Intern Software Engineer specializing in full-stack development and machine learning
Mid-level Full-Stack Software Engineer specializing in AWS microservices and GenAI
Executive AI & Data Product Leader specializing in Generative AI video and AdTech
Executive Product & Technical Services Leader specializing in AI, Crypto, and FinTech
Ryan Crabbe
Junior Full-Stack/Mobile Engineer specializing in React Native and NestJS
“Built an AI-powered restaurant menu rewriting app that generates diet-constrained menus from photos, with a backend designed around bounded contexts and a lightweight CQRS approach. Demonstrates strong multi-tenant PostgreSQL design (RLS, tenant-scoped queries) and performance tuning (partitioning, keyset pagination, composite/partial indexes), plus AI workflow orchestration using Redis/BullMQ and Vercel AI SDK with structured outputs and evals; reduced p95 latency ~35–50% via racing LLM requests and caching.”
Sagnik Mazumder
Executive ML/AI Founder specializing in agentic analytics and data infrastructure
“Founder of Photosphere Labs (agentic AI for ecommerce data synthesis/analysis) who worked directly with customers to scope, build, demo, and iterate LLM-based solutions, including an AI chat product for brand owners. Previously at Block, built and explained a nuanced causal inference/propensity model tied to Square POS integrations, translating model specs and outputs into business impact for varied client contexts.”
Junior Software Engineer specializing in AI/ML systems and LLM-powered document automation
Mid-Level Full-Stack Software Engineer specializing in web/mobile products and analytics
Staff Software Engineer specializing in scalable backend systems and observability
Staff Software Engineer specializing in frontend platforms and healthcare UX
Staff Software Engineer specializing in cloud-native distributed systems for healthcare
Senior Software Engineer specializing in GenAI, RAG, and multi-tenant SaaS platforms
Senior Full-Stack Python Engineer specializing in Django, microservices, and cloud platforms
Junior Software Engineer specializing in cloud platforms, microservices, and AI/ML
Executive Engineering Leader specializing in AI automation and cloud platforms
Mid-Level Frontend Software Engineer specializing in React and React Native
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Senior Full-Stack Engineer specializing in AI automation and LLM-powered products
winston lo
Junior Software Engineer specializing in AI agents, RAG, and full-stack development
“Backend engineer who built and iterated a secure, multi-tenant RAG system over a large document corpus, emphasizing strict RBAC/ACL isolation, hybrid retrieval (vector+keyword), reranking, and strong observability to balance relevance, latency, and cost. Also led production refactors/migrations using strangler + feature flags/dual writes and has experience catching subtle real-world failure modes (including in a sensor calibration optimization pipeline).”