Vetted Cursor (AI Code Editor) Professionals

John Krikorian

Screened

Senior Software Engineer specializing in AR, UI/UX, and interactive applications

12y exp

“AR/Unity-focused engineer who built a multi-user whiteboarding app for smart glasses, including vector-based collaborative drawing, spatial object persistence, and a voice-driven AI assistant that could manipulate the scene through custom tools. Their work spans real-time networking, spatial UX, and LLM integration, with systems robust enough that some features were reused by other developers internally.”

“Frontend engineering leader who owned the modernization of Everlane's large-scale e-commerce experience, migrating from a legacy stack to Next.js/Apollo/Cloudflare Workers while keeping a business-critical site running for nearly 1 million daily users. Stands out for combining architecture, browser performance, and conversion-focused execution—measuring success through Core Web Vitals, funnel improvements, and developer velocity.”

Henry nguyen

Screened

Senior Full-Stack Engineer specializing in FinTech and mobile platforms

Dallas, TX6y exp

“Built WalletBuddy, a personal credit card tracking app, end to end using React Native, TypeScript, Convex, and agent-based web research workflows to maintain a 130+ card catalog. Also operated as a solo lead in a constrained Citi environment, rapidly shipping Python/Postgres ETL pipelines for stakeholder reporting while making pragmatic decisions about where AI automation should and should not be used.”

“Product design leader who has operated as both design head and product owner across retail, supply chain, and global trade platforms. Notable for turning design research into business strategy shifts, leading AI/ML workflow products with measurable adoption gains, and scaling globally distributed design teams while tying UX decisions directly to ROI.”

“Frontend engineer who led end-to-end architecture for a cross-platform Payments Checkout SDK at Inai Technologies, scaling it to support iOS/Android/React Native/Flutter/Capacitor and powering 2.4M+ transactions per month. Emphasizes performance (bundle size/tree-shaking), OTA update delivery for mobile wrappers, and strong engineering guardrails (SonarQube, Snyk, CI/CD, regression suites, Sentry/PostHog) to ship quickly with high quality.”

“Full-stack engineer (backend-led) with recent experience building enterprise workflow orchestration and billing/payment platforms at Intuit using Java/Spring Boot (WebFlux), Kafka, Postgres/Redis, and React/TypeScript. Has operated at high scale (reported ~1200 RPS during month-end billing) and focuses on event-driven microservices, real-time UI updates via streaming, and disciplined API evolution with contract testing.”

“Engineering leader (Credit Karma/fintech) who built internal developer-platform frameworks at near open-source scale, including a unified key management system migrating ~450 services from on-prem HSM to a centralized KMS. Known for driving large cross-team migrations with strong safety mechanisms (canaries, shadow reads, rollback toggles) and measurable DX/ops improvements (60% fewer provisioning requests; 40% faster time-to-first-secret).”

“Engineering leader with experience owning product engineering strategy, architecture, and org scaling across hospitality/workforce management and insurance startup environments. They describe being brought in to help Fourth Inc. revamp engineering for large-scale enterprise customers, while also scaling teams at The Zebra and staying hands-on with production monitoring, performance analysis, and cross-team architectural execution.”

“Former Societe Generale investment banking/markets professional turned startup operator who became the first employee at Two Dots and helped scale it from prototype to $12M ARR. Combines executive-level financial analysis, AI product understanding, and hands-on GTM/customer execution, with a standout example of building a backtest-led enterprise sales motion that pushed conversion above 90% and helped win major property management customers.”

“Frontend engineer with deep experience building high-performance, data-heavy web applications, especially geospatial and climate/energy visualization products. Has led React/TypeScript architecture for large interactive UIs and designed Mapbox/MVT-based systems that dramatically reduced payload size and improved responsiveness in production.”

Lyndsey Reed

Screened

Mid-level Product Manager specializing in AI, FinTech, and EdTech

Remote9y exp

“Product and technology leader with a nontraditional path from hands-on software development into director-level leadership across fintech and edtech. They have built products since 2016, led 0-to-1 fintech product work, managed a 14-person team, and combine AI/ML exposure with operational experience in department design, training systems, and stakeholder-driven roadmap execution.”

“Product/UX designer building an end-to-end startup MVP for small banks/credit unions to benchmark against regional competitors, including a custom design system and working prototypes created with Cursor/v0 and prompt engineering. Has experience translating complex finance analyst workflows into intuitive UX and running structured moderated usability tests with quantitative metrics; also led sensitive health research (20+ users) that shifted direction away from AI chatbot replacement.”

Aditya Jhaveri

Screened

Mid-level Software Engineer specializing in AI, big data, and distributed systems

Jersey City, NJ3y exp

“Software Developer at NYU (GEMSS) focused on scaling and optimizing a data-heavy asset management web app, including migrating/optimizing data access via Google Sheets API and Firestore. Previously an SDE at Sainapse working on Spring Boot microservices POCs (Kafka, Hadoop at 2B+ record scale). Built an end-to-end Apple Wallet coupon generation/redemption system using PassKit + Google Apps Script with measurable ops impact (40% efficiency gain).”

“LLM/agent engineer who shipped a two-stage AI recruitment screening platform at Foursquare that automated resume ingestion through behavioral assessment, delivering an 85% reduction in screening time across 5,000+ applications with auditability and confidence-gated decisions. Also built a multi-agent benchmarking framework using MCP tool interfaces and a RAGAS + LangSmith evaluation/observability stack, including async re-architecture that cut production latency by 50%.”

Jason VanLue

Screened

Executive product and design leader specializing in AI-native SaaS and EdTech

St. Augustine, FL18y exp

“Design-led product executive who helped build Code School from concept into a category-defining learn-by-doing education platform acquired by Pluralsight, and later scaled EPD to 40+ while driving $60M ARR. Now leading AI-native product development in nonprofit fundraising, with a clear philosophy that AI should amplify human relationships rather than replace them.”

Thomas Toan

Screened

Senior Frontend Software Engineer specializing in regulated and high-performance web applications

San Mateo, CA11y exp

“Frontend/product engineer who has owned high-impact surfaces across video streaming, edtech analytics, and regulated healthcare platforms. Notable work includes rebuilding a clinical trial forms system with strict TypeScript standards, designing real-time livestream engagement features, and shipping a lightweight PIP player that improved Core Web Vitals by avoiding heavy SDK load on initial page render.”

“Full-stack engineer with primary depth in .NET Core and Python who has built and deployed end-to-end AWS applications (Lambda, API Gateway, S3, CloudFront) and supported them in production. Experienced in scaling large, data-driven workloads using queues/background workers, batching, and database tuning, with strong focus on API contracts, observability, and resilience patterns; also has hands-on React/TypeScript and some Spring Boot exposure.”

“Backend engineer who built and owned an AI-powered SMS survey platform for a nonprofit serving at-risk communities (internet-limited users), using Cloudflare Workers + Twilio and a state-machine survey engine. Scaled it to ~10k active users with near-zero downtime, added English/Spanish support, and iteratively improved LLM behavior (Claude 3.7 Sonnet) to handle nuanced, real-world SMS responses reliably.”

NIDHEESH VELUTHERI

Screened

Senior Full-Stack Engineer specializing in modern web applications

Toronto, Canada13y exp

“Frontend engineer with insurance-domain experience (AAA Insurance and insurance quoting flows) who has delivered Angular/React/Next.js products end-to-end. Notable for building a complex drag-and-drop email template/code-generation UI and for modernizing React codebases (Redux->Context, lazy loading, memoization) to improve performance and reduce security vulnerabilities, while using feature flags and strong QA automation for fast, controlled releases.”

Naga Manasa Bandaru

Screened

Mid-level Frontend Software Engineer specializing in React, Next.js, and TypeScript

Dallas – Fort Worth, TX4y exp

“Product-focused full-stack engineer with FedEx experience building an internal logistics dashboard for near real-time shipment status and performance metrics using Next.js App Router + TypeScript. Strong in production ownership and performance work—uses React Profiler/Chrome DevTools to eliminate expensive re-renders and applies Postgres indexing/query tuning validated via EXPLAIN ANALYZE to improve dashboard responsiveness.”

“Built Laborate.app, a full-stack lab notebook and inventory product for scientists, largely solo using Next.js App Router, TypeScript, Postgres, Prisma, and AWS S3. Stands out for combining product ownership with practical concerns like encrypted data storage, autosave reliability, caching, tenant isolation, and scalability planning.”

“Built and owned Alight's AI-powered Search Summary feature end-to-end, using a RAG pipeline with OpenSearch and Bedrock, and drove a 20% increase in user feedback scores. Stands out for bringing rigorous production evaluation to LLM systems via live LLM-as-a-judge monitoring, and for experience with advanced agentic architectures, hybrid search, and reranking at scale.”

“AI/backend engineer who has owned production applied-ML systems end to end, including a Jitsi meeting intelligence platform with custom RoBERTa boundary detection, LLM summarization, and automated retraining from user feedback. Also has healthcare AI experience building a diabetes medication titration system with strict validation, drift monitoring, and safety guardrails—showing both product speed and high-stakes engineering rigor.”

Benjamin Feldman

Screened

Director-level application development leader specializing in FinTech and digital transformation

Boston, MA16y exp

“Hands-on engineering leader in a private-company/startup-like environment who builds full-stack financial systems and leads small teams. Notably replaced a failed third-party banking platform with an in-house Azure-based product integrating major bank APIs, driving $200K-$300K in annual savings and major workflow automation and performance gains.”