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Vetted Stripe Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Engineer specializing in TypeScript/React and product growth infrastructure
Senior Mobile & Full-Stack Developer specializing in React Native and scalable cross-platform apps
Entry Full-Stack Engineer specializing in Next.js/React and real-time analytics
Mid-Level Full-Stack Software Developer specializing in cloud-native web applications
Mid-level Full-Stack AI Engineer specializing in web and generative AI solutions
Mid-level Backend/Full-Stack Software Engineer specializing in AWS, Node.js, and AI integrations
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Senior Full-Stack Software Engineer specializing in web apps and distributed systems
Mid-level Front-End Developer specializing in React, Next.js, and performance optimization
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot, React, and AWS
Senior Full-Stack Developer specializing in AI-driven SaaS and real-time analytics
Lalith Kambala
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”
Hashir Umar
Senior Full-Stack Software Engineer specializing in AWS, TypeScript, and scalable microservices
“Frontend engineer who led the end-to-end UI for a virtual trivia/multiplayer game, including architecture (component-driven + design system), quality practices (TypeScript, linting/formatting, unit + E2E tests), and real-time synchronization for ~100 concurrent players using Pusher. Emphasizes pixel-perfect, mobile-first responsive delivery with Tailwind and design tokens, plus ongoing refactors for reusability and performance.”
Junior Marketing & Analytics professional with e-commerce and operations experience
Executive Founder-CTO specializing in AI agents and distributed systems
Megha John Babu
Junior Full-Stack Software Engineer specializing in scalable backend systems
“Built and shipped an AI-powered journaling app feature that analyzes user text for emotions in real time, owning everything from React/TypeScript UX (dynamic theming + Framer Motion) to a FastAPI backend integrating Hugging Face. Has hands-on production experience deploying Dockerized services on AWS (EC2/RDS/S3/CloudWatch) with GitHub Actions CI/CD, and resolved a real latency/scaling incident by converting blocking external API calls to async with retries/timeouts.”
Akash Parekh
Mid-level Full-Stack Developer specializing in React, Node.js, and cloud deployment
“Frontend engineer with experience building enterprise ERP/CRM dashboards in React + TypeScript, including cron-driven data updates and differentiated state flows. Emphasizes CI/CD pipeline setup, performance optimization (Core Web Vitals, React Profiler), and disciplined delivery practices (risk-based QA, phased rollouts); also has Figma-to-responsive implementation experience.”
Naseem Khan
Junior Full-Stack Developer specializing in React/Next.js and Node.js
“Frontend engineer who led the Cariveco frontend end-to-end, establishing a scalable React/TypeScript architecture with a design system, CI-driven quality gates, and strong performance practices (Lighthouse, code-splitting, caching). Experienced building complex dashboards with role-based views and real-time data using Redux + RTK Query, and shipping major features quickly with automated testing, feature flags, and Sentry monitoring.”
Muhammad Midhat
Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations
“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”
Rasheed Samady
Entry-level AI Engineer specializing in automation and ML platforms
“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”