Vetted Code Reviews Professionals

Affan Ahmed

Screened ReferencesModerate rec.

Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI

Remote, Pakistan7y exp

“Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.”

“Backend-focused engineer with experience spanning research and healthcare: owned a Python/SQL data pipeline that transformed vulnerability-fix code data from SQLite into model-ready JSON for LLM analysis. Also deployed Dockerized Spring Boot microservices to Kubernetes with Jenkins CI/CD and built Kafka-based real-time event streaming (appointment/report events) with idempotent consumers to avoid duplicate processing.”

MohammadHossein Karimian

Screened

Mid-level Front-End Developer specializing in React and TypeScript

Regina, SK5y exp

“Frontend engineer who has led end-to-end builds of complex React + TypeScript workflow editors (multi-step scenario builder with nodes/connections/conditions) with strong quality practices (CI/CD, unit tests, schema validation, logging, feature flags). Also delivered an AR flower-placement feature during an internship at Ecomspiders, rebuilding the experience with Three.js, live camera preview, and surface placement tested across devices and lighting conditions.”

Muhammad Nadeem Naeem

Screened

Senior Unity Developer specializing in AR/VR and simulation

Hull, United Kingdom5y exp

“Unity developer with VR training simulator experience who improved engagement by fixing a core laser-tracking interaction issue (stability/jitter/response time) based on user and instructor feedback. Has implemented real-time multiplayer features in Unity using Photon Fusion (sync, spawning, replication) and addressed latency/desync with authority management plus prediction/interpolation, while emphasizing scalable practices for large codebases and rapid cross-functional iteration.”

Ruojie Hao

Screened

Mid-level Full-Stack Engineer specializing in AI, real-time web apps, and 3D/GIS systems

Seattle, WA6y exp

“Frontend-focused engineer who built and fully owns an interactive portfolio site showcasing real-time and 3D browser experiences, including WebGPU and WebSocket integrations. Stands out for combining polished UI design with deep browser-performance work such as progressive loading, GPU buffer batching, and React render optimization.”

Parth Shroff

Screened

Entry-level Full-Stack Software Developer specializing in AI and cloud applications

Remote, USA1y exp

“Full-stack engineer who has independently owned and shipped educational web products from concept through launch, including an AI-powered thermodynamics tutoring app and a physics learning platform tied to research publication. Strong in React plus AWS serverless architecture, with a clear pattern of working directly with non-technical stakeholders, iterating from user feedback, and maintaining production systems end-to-end.”

Hamna Anwar

Screened

Senior Full-Stack Engineer specializing in Go backend systems

Hayward, CA8y exp

“Full-stack/backend engineer with startup-style experience spanning healthcare and B2B infrastructure SaaS. Has worked across Python, Go, and React/TypeScript, including migrating services from Node.js to Go, building microservices and dashboards, and delivering measurable API performance gains through database tuning and Redis caching.”

“Frontend-focused engineer who leads end-to-end delivery of high-performance React + TypeScript products, including legal-tech client platforms and a large-scale case management dashboard handling thousands of records. Strong in SEO for SPAs, strict code quality automation, and performance work (Lighthouse 95+, 40% FCP reduction), plus disciplined rollout practices using LaunchDarkly, canary releases, and Sentry monitoring.”

“Data engineer focused on building reliable, production-grade pipelines and data services end-to-end, including a 50+ GB/day pipeline ingesting from APIs/files into Snowflake with PySpark/SQL transformations. Emphasizes strong data quality controls, monitoring/retries, and performance optimization, and has also shipped a Python data API with caching and backward-compatible versioning.”

Elena Cherpakova

Screened

Junior Full-Stack Software Developer specializing in React, Node.js, and AWS

Ottawa, Canada3y exp

“Frontend engineer at WITT who led multiple end-to-end React/TypeScript products in fintech/e-commerce contexts, including a shopping cart with Stripe payments and a multi-step registration flow. Emphasizes scalable component architecture, strong QA (tests/reviews/linting), and performance work (lazy loading/memoization), plus disciplined rollout via feature flags and close product/design collaboration.”

srikanth tulluru

Screened

Mid-level Product Designer & Design Technologist specializing in design systems and GenAI UX

Remote, USA3y exp

“Enterprise/industrial UX designer focused on making complex, real-time automated systems feel trustworthy and predictable. Has hands-on experience observing operators in logistics/automation environments, building shared interaction models to unify fragmented products, and collaborating tightly with engineers using component-system thinking (HTML/CSS/TypeScript) to ship resilient UIs that handle partial failures.”

Iskhak Ishmakhametov

Screened

Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems

Bellevue, WA7y exp

“Full-stack product engineer with a strong real-time systems focus: built and rolled out a WebSocket-based notifications system (with robust reconnect/resync and event ordering protections) that cut update latency to under 200ms. Also owned a workflow automation platform backend in FastAPI (JWT/RBAC, versioned APIs, standardized errors), designed the PostgreSQL schema for workflows/tasks/executions, and operated deployments on AWS ECS Fargate with blue-green CI/CD and performance stabilization via caching and autoscaling.”

“Frontend-focused developer who built Butterfly Booking, a live two-sided salon scheduling platform for both business owners and customers. Demonstrated strong ownership across UI architecture, AWS deployment, responsive design, and a mid-project database migration, with results including a successful replacement of Vagaro, over $3,000 in annual savings for the client, and roughly 20% growth in bookings after launch.”

“Backend engineer with production ERP experience deploying microservices and improving performance/reliability using a metrics-driven approach (logs, latency, error rates). Has hands-on cloud/hybrid operations across AWS and Azure with Docker/Kubernetes, and has resolved real-world mobile sync issues by tuning timeouts/retries and reducing payload sizes. Builds configurable Python services to deliver customer-specific behavior without destabilizing the core codebase.”

“Machine learning lab assistant at Eastern Illinois University who productionized a voice-enabled conversational AI system: redesigned it with RAG, LoRA fine-tuning (including text-to-SQL), and safety guardrails, then deployed a scalable API supporting ~1,000 daily queries. Also partnered with customer-facing teams during a BlueFi internship by building demos/APIs and accelerating releases via Terraform + AWS CI/CD automation.”

“Full-stack system analyst/programmer at PeakPlay Sports (startup) who built an AI "coach" product end-to-end in ~2 months, using a LangGraph-orchestrated multi-agent architecture with a FastAPI backend. Shipped production RAG grounded in athlete history (OpenAI embeddings + vector store) with guardrails and a structured eval loop (golden set + LLM-judge + human review) to improve engagement and reduce hallucinations.”

“Frontend engineer focused on scalable React + TypeScript dashboards and workflows, using feature-based architecture and a reusable component/hook approach. Has hands-on experience improving performance in table-heavy admin UIs (pagination, lazy loading) and shipping major features quickly with staging/manual QA, gradual rollouts, and rapid iteration based on production feedback.”

Tam Do

Screened

Junior Robotics Software Engineer specializing in ROS2 perception and manipulation

Tampa, FL3y exp

“Robotics software engineer who built an assistive Kinova Gen3 manipulation system for activities of daily living, spanning RealSense+ArUco perception, MoveIt2-based motion planning/task sequencing, and a React Native tablet UI with rosbridge and voice control. Optimized real-robot trajectories by blending OMPL with Cartesian/PILZ planning and created simulation workflows to test without lab/robot availability.”

“Built and shipped production LLM-driven pipelines for clinical data processing, turning semi-structured inputs into validated structured outputs for downstream analytics. Emphasizes predictability and safety via strict JSON schemas, state-machine orchestration, backend-controlled tool calling, and robust fallbacks (rule-based checks/manual review) plus monitoring and offline/online evaluation loops; also has experience hardening workflows against messy ERP/finance data with idempotency and state tracking.”

“Built and shipped a production AI assistant for a web-based loan/interest calculator that helped users understand EMI results and optimize inputs. Demonstrated full-stack ownership across responsive UI, Node.js APIs, and LLM integration, with a strong focus on prompt refinement, guardrails, caching, fallbacks, and post-launch iteration driven by logs and user behavior.”