Vetted Express Professionals

Asad Abdul

Screened

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).”

Bryant Conti

Screened

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.”

Zoe Meng

Screened

Mid-level Full-Stack Engineer specializing in React, Node.js, GraphQL, and TypeScript

Richmond, CA6y exp

“Full-stack engineer experienced in high-growth (seed to Series B/C) SaaS environments, with strong production ownership across performance, observability, and reliability. Has shipped Next.js App Router/TypeScript features and improved real-world UX metrics (e.g., virtualization boosting scroll from 30→60 FPS and reducing mobile bounce), optimized Postgres with indexing/EXPLAIN ANALYZE, and built idempotent payment/provisioning workflows using Temporal.”

“Full-stack engineer who has owned both institutional and personal products end-to-end, including Rutgers' myCommunity platform used by 70,000+ students. Particularly strong in production systems, data synchronization, authentication, and third-party API integrations, with a pragmatic approach to shipping, observability, and UI modernization.”

“AI/ML engineer with 9+ years of experience building production recommendation and LLM systems end-to-end, from experimentation through deployment, monitoring, and retraining. Stands out for combining strong MLOps discipline with practical GenAI/RAG implementation, including measurable impact such as ~25% higher engagement on an e-commerce recommender and nearly 30% faster knowledge retrieval from internal documents.”

“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.”

Emma Choudhary

Screened

Senior Full-Stack Software Engineer specializing in Python, Django, and Generative AI

United States6y exp

“Backend/data engineer with hands-on production experience building partner-facing Python APIs (FastAPI, Celery, Postgres/Redis) and AWS serverless data platforms (Lambda, SQS, Step Functions, Glue). Emphasizes reliability and governance—JWT tenant-scoped auth, secrets/config hygiene, data-quality quarantine, and incident ownership—plus measurable SQL tuning that eliminated timeouts and stabilized reporting workloads.”

“Frontend engineer who has led end-to-end delivery of internal and analytics dashboards in React + TypeScript, with a strong emphasis on scalable architecture, disciplined state separation, and performance under real-time data loads. Uses practical profiling (React Profiler/DevTools), virtualization, and feature-flagged rollouts with solid QA and rapid post-launch iteration to keep quality high as products scale.”