Vetted API Design Professionals

Asad Abdul

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Mid-level Full-Stack Developer specializing in AI-driven cloud-native applications

Laguna Niguel, CA4y exp

“Full-stack engineer with healthcare/ops analytics experience at PatientXpress, shipping a real-time operational dashboard end-to-end (React/TypeScript + Node/Postgres on AWS) that cut manual reporting by 50%. Strong in performance and reliability work—pagination/caching, Postgres indexing/partitioning, Terraform-based AWS provisioning, CI/CD with GitHub Actions, and production incident response with improved monitoring (CloudWatch/Prometheus).”

Timothy Polyak

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Senior Technical 3D Artist specializing in Unreal Engine interactive UI/UX and visualization

Remote11y exp

“UE5 Blueprint/UMG developer who built a player-facing interactive “build your own home” experience with real vendor inventory and pricing, including a rule-driven configuration system and multiple polished camera/view modes. Took it from a local kiosk-style app to a scalable online product by streaming Unreal via Pixel Streaming/WebRTC on Azure VMs with a React frontend, plus analytics (GA) and CRM integration (HubSpot).”

Emmanuel Sarpong

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Mid-Level Full-Stack Developer specializing in React and ERP/NetSuite automation

Montreal, QC4y exp

“Frontend/full-stack product builder who led SiteSnap (field documentation platform) end-to-end, including UX design, React/TypeScript architecture, and deployment. Built a complex Report Builder editor handling thousands of media assets with strong performance practices (virtualization, lazy loading) and a quality pipeline (Storybook, Playwright, Vercel previews), and shipped a smart PDF report generator under a tight demo deadline with gradual rollout.”

Charmi Dharmendrakumar Parmar

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Mid-Level Software Engineer specializing in full-stack and cloud-native systems

Alpharetta, GA4y exp

“Backend/full-stack engineer who owned a cloud-native, AWS-based microservices backend for an HRIS product used by ~10,000 users, including onboarding and workflow orchestration. Strong production focus on event-driven architecture, idempotency/retries, observability, and developer-friendly API design (OpenAPI, versioning, JWT), plus hands-on Selenium automation for resilient checkout-style flows.”

Bryant Conti

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Junior Full-Stack Software Engineer specializing in React/Node.js and backend APIs

Los Angeles, CA4y exp

“Built and deployed a production Incident Tracking System using Next.js (App Router) + TypeScript with Postgres (Neon) and Prisma, including RBAC (User/Support/Admin), tickets/comments, and audit logging. Uses Zod for schema/type validation and relies on Chrome/React DevTools to debug and refine UI/UX and performance.”

“Led a government smart city deployment where success depended less on pure engineering and more on navigating policy, budget, and operational constraints. Built phased, cost-conscious systems combining data pipelines, on-prem AI, OCR, and human-in-the-loop workflows to deliver stable production outcomes and make ambiguous real-world data more controllable at scale.”

“Full-stack engineer with hands-on experience building finance and contract management products, including a React/Redux dashboard and an automated reconciliation system integrating internal platforms with QuickBooks. Stands out for combining frontend architecture and performance work with backend/API, SQL reconciliation logic, and real finance operations domain knowledge.”

“Full-stack engineer who built WordCon, an AI-powered vocabulary learning platform, end-to-end across React/Next.js, Python, AWS, and GenAI services. Particularly strong at turning ambiguous AI product ideas into structured, scalable systems by combining deterministic learning logic with LLM-powered personalization, and has additional experience modernizing legacy PHP systems into React/Node architectures.”

Faisal Hayat

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Senior Python Full-Stack Engineer specializing in AI-powered backend systems

Lahore, Pakistan6y exp

“Backend-leaning full-stack engineer with startup experience building AI-powered products and ERP/SaaS platforms. They’ve delivered Python/FastAPI/Django and React systems on AWS, including an AI document processing platform and business workflow tools used by thousands of users, with strong hands-on depth in database optimization and production operations.”

“Unity developer with shipped Meta Quest experience who owned the full lifecycle from architecture and feature development through builds and store compliance. Demonstrated strong performance optimization skills (profiling in Unity and MQDH, optimizing textures and render layering) and has built and shipped a modular, cross-platform puzzle game (PC/web/mobile).”

Xuebin Dong

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Mid-level Software Engineer specializing in distributed systems and healthcare data platforms

San Diego, CA4y exp

“Full-stack and AI engineer who built both a large-scale clinical imaging dataset exploration engine and DMP Chef, an open-source LLM product for generating funder-compliant Data Management Plans. Stands out for combining strong product ownership, data-intensive backend architecture, and practical LLM systems work with retrieval, structured outputs, evals, and human-in-the-loop compliance safeguards.”

“Full-stack engineer with strong AWS operations experience who helped replace a long-standing manual logistics reporting process by building a production-grade, event-driven On-Time-Performance rules system. Personally owned the Vue-based rule configuration frontend end-to-end (design collaboration through QA/UAT and post-release support) and measures success via accuracy validation against historical data, reduced manual adjustments/tickets, and system latency/error metrics.”

“Unity/C# developer who has shipped multiple Steam titles and owned systems end-to-end, including a large-scale in-game automation feature (a configurable stock-bot) designed for performance with massive object counts. Also built an open-source Unity Editor CLI extension leveraging cloud/LLM-style code workflows, and has shipped multiplayer (Mirror) plus cross-platform VR (Meta Quest) and mobile (iOS/Android) applications, using Datadog for live issue monitoring.”