Vetted UI/UX Design Professionals

Meghana Madi

Screened

Mid-level Product & UI/UX Designer specializing in AI, cybersecurity, and SaaS

Remote, USA4y exp

“Product/UI-UX designer with hands-on experience owning end-to-end web and e-commerce flows, from problem discovery and information architecture through Figma design and implementation support. They stand out for translating rough concepts into production-ready, scalable interfaces with reusable components, polished interaction states, and measurable usability improvements.”

“Full-stack web developer with experience owning products from client discovery through launch and post-launch iteration, including a complete freelance build for an interior design firm and a large-scale React/TypeScript migration during an internship at Gateway Ticketing Systems. Stands out for balancing strong visual design with performance and SEO, and for improving emergency-use UX in an MVP product through flow simplification and A/B testing.”

“Software engineer with a recent pivot toward AI engineering, combining traditional full-stack web development with multi-agent AI application work using React, Flask, LangChain, and LangGraph. Has experience improving internal platform integrations, scaling production systems, and building revenue-impacting features such as an order tracking module credited with a 20% revenue increase.”

“Product-oriented startup operator with hands-on AI experience across chatbot UX, PRDs, and technical RAG pipeline design. They’ve worked across early-stage builds and portfolio-company product strategy, including improving engagement by 46% on an internal AI product through better workflows, content pipelines, and analytics-driven iteration.”

“Frontend-focused React/TypeScript candidate with hands-on experience building personalized product discovery and recommendation modules that balance relevance, performance, and maintainability. They show strong practical judgment around rendering optimization, responsive CSS, accessibility, and using DevTools/Profiler data to improve production UX.”

“Revamped a university academic calendar system into a Python-based calendar generation service, turning a weeks-long manual scheduling workflow into software that generates dozens of valid calendar combinations in under a minute. Also contributed to an Amazon search ML classifier by introducing precision/recall evaluation to better surface critical failure modes and improve prediction quality.”

Vasudev Konde

Screened

Mid-level Full-Stack Java Developer specializing in APIs and cloud microservices

Phoenix, AZ5y exp

“AI/LLM engineer who has shipped a production document-intelligence agent that automated internal support workflows using RAG, tool calling, and robust fallback controls. Stands out for combining hands-on architecture with measurable business impact: 85% faster query resolution, 35% lower LLM cost, 40% fewer LLM calls, and enough automation to avoid adding 2-3 support engineers.”