Vetted Code Review Professionals

“Product engineer/designer with founder mindset who shipped a blockchain-enabled investor group/governance platform using Next.js (App Router), TypeScript, Prisma/Postgres, and Temporal. Emphasizes auth-centric onboarding (SSO + embedded wallet) to make dApp UX feel more like SaaS, and brings strong reliability practices (idempotent retries, reconciliation) plus experience demoing to investors and operating in seed-stage teams (ex-Vouched).”

“Frontend engineer/lead who has owned end-to-end architecture for large customer-facing React/Next.js platforms, emphasizing strong API contracts (GraphQL + TypeScript codegen), automated quality guardrails, and performance as a feature. Built complex workflow UIs including a multi-step patient booking flow for New York’s largest healthcare provider and an admin dashboard handling 400,000+ USDA ingredient records, with disciplined state management, staged rollouts, and real-user monitoring.”

“Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.”

“Frontend engineer experienced delivering React + TypeScript dashboards end-to-end, including real-time updates via WebSockets and scalable component architecture. Has improved inherited codebases by building shared component libraries and performance optimizations (lazy loading/memoization), reporting ~20% faster feature delivery, and ships major features with QA rigor and feature-flagged rollouts driven by analytics and user feedback.”

“Backend/data engineer who reports building production Python services (FastAPI + JWT) backed by Postgres and Redis, and modernizing data workflows using AWS Glue + PySpark with S3/RDS. States experience delivering AWS solutions (S3, SES, Cognito) and using golden datasets/snapshot testing for migration parity, with many details withheld due to NDAs. Seeking fully remote work with a $300k base salary expectation.”

“Frontend-focused engineer who led a full-scale CMS/dashboard build using React (with TypeScript), plus Node.js microservice APIs on AWS Lambda and MySQL. Emphasizes scalable component architecture, feature-based code organization, performance profiling via Chrome DevTools, and disciplined release practices (CI/CD, UAT gating, production monitoring) in fast-paced delivery cycles.”

“Frontend engineer with co-op experience at Nokia and prior work at Nimble, delivering React/TypeScript single-page onboarding flows and internal web apps. Builds from Figma to production React, emphasizes modular architecture and consistent UI via Material UI, and applies Jest-based unit/integration testing plus lazy loading to improve reliability and performance in both new and existing codebases.”

“Full-stack engineer from seed-stage Violet Labs who owned an end-to-end production "compare push results" feature for external integrations, including solving tricky false-positive success cases by validating against internal entity hashes and confirmed integration events. Experienced building React/TypeScript SPAs with a Node + Postgres backend, deploying via AWS/Kubernetes, and setting up CloudWatch logging/metrics/alarms with SNS paging.”

“Former founder with an acquired venture who later led R&D at McClatchy and joined multiple startups. Identified a major client need and built a mobile app platform using ML and AR for home builders, driving adoption by dozens of customers and $1M+ ARR. Strong hands-on builder who can architect MVPs, iterate quickly with A/B testing and user feedback, and scale early engineering teams and culture.”

“Accenture engineer who built real-time smart mobility products (Verra Mobility) used by both consumers and government agencies, spanning React/TypeScript frontends and Node.js/GraphQL microservices with Kafka. Demonstrated strong delivery and reliability practices (CI/CD, feature flags, automated testing, CloudWatch observability) and achieved a ~20% GraphQL performance improvement supporting 50,000+ daily transactions, plus built an internal ops/support dashboard adopted into daily workflows.”

“QA automation-focused engineer who hardens production CI/CD by integrating and stabilizing end-to-end automated tests (tackling async UI flakiness, resilient assertions/selectors, and controlled test data). Demonstrates strong cross-layer troubleshooting by correlating logs and system metrics to resolve intermittent service reachability, then adding monitoring/alerts and documentation. Also partners directly with operators to improve real-world workflows by enhancing validation logic and error messaging.”

“Robotics software engineer at Earthwise building a full ROS2 Humble warehouse AMR stack for bin picking—owning perception (Livox/Orbbec/RPLidar fusion + calibration), Nav2 navigation with custom planners/behavior trees, and application-layer nodes (barcode scanning, safety monitoring, web HMI). Demonstrated strong real-world debugging and performance tuning (sub-cm AprilTag docking; ~80% reduction in localization failures) plus solid simulation/CI practices (Gazebo + Docker + GitHub Actions).”

“Backend engineer who has shipped both high-throughput real-time systems and production LLM/RAG features. Built a database-free, local-first messaging service (Node/Express/Socket.IO) achieving ~1,500 msgs/sec at <25ms p95, and implemented a Go-based RAG recommendation pipeline with strict JSON/schema validation, catalog grounding, fallbacks, and eval loops that cut hallucinations to ~1–2% while reducing LLM costs ~60%.”

“Backend/data engineer with experience at Assurant and Capgemini, focused on reliability and performance at scale. Improved high-latency backend APIs by adding and iterating on a Redis caching layer driven by CloudWatch/monitoring metrics, and built scalable BI pipelines that normalize messy multi-source enterprise data with strong observability and error handling. Familiar with LLM/RAG architecture and practical guardrails, though has not yet shipped an LLM feature to production.”

“Engineer with startup experience who emphasizes disciplined Agile execution (requirements analysis, Jira tasking, sprint planning) and production readiness (testing/QA/PR review). Uses profiling/logging for high-observability debugging and prioritizes incidents by impact. Has demoed engineering processes and worked directly with a client (Canadian music service) to position product capabilities and future extensions to drive adoption.”