Junaid Aziz

About

Senior full-stack engineer with 10+ years across Node.js, TypeScript, React/Next.js, and AWS Serverless. Currently contracting as an AI Training Engineer on Mercor, evaluating frontier LLM training code for clients including OpenAI and Anthropic and building production LLM systems (RAG pipelines, OpenAI/Claude orchestration, pgvector, function calling, evaluation harnesses, and RLHF-oriented code assessment). Previously led enterprise React + Node.js/NestJS serverless builds and production LLM integrations, including measurable API latency and bug-reduction outcomes, with strong expertise in security, testing, and event-driven architecture.

Experience

• AI Training Engineer (Contractor) · Mercor02-01-2026

  Frontier-model code evaluation for clients including OpenAI and Anthropic. Wrote, reviewed, and evaluated complex code solutions across Python, JavaScript, TypeScript and Go. Produced structured feedback used as RLHF signal to improve LLM code generation, reasoning, and tool-use behaviour. Assessed AI-generated code for correctness, algorithmic efficiency, security posture, and software-engineering best practices, maintaining consistently high quality scores across project sprints with rigorous calibration reviews.

• Senior Full-Stack Engineer · Modus Create Inc.12-01-2022

  Enterprise full-stack delivery, React front-ends, serverless backends, and production LLM integration. Led full-stack architecture for Audi Business Innovation GmbH across a React + Next.js operator dashboard (Redux, React Query, streaming UIs) and a Node.js/NestJS serverless backend (Lambda, DynamoDB), powering real-time operations across Fortune 500 business units at tens of thousands of API requests per month. Reduced API latency 25% and operational latency 20% via DynamoDB Streams, Redis caching, Lambda cold-start tuning, and SQS/SNS event-driven workflows. Integrated OpenAI and Claude APIs (Function Calling / Tool Use, streaming) into Midpage’s legal-research platform with React research UIs, lifting search relevance and achieving 99.9% uptime through optimized serverless routing, response caching, and graceful fallback handling. Cut production bugs 25% by overhauling CI/CD (GitHub Actions), enforcing TDD with Jest, React Testing Library, Cypress and Supertest, containerizing services with Docker/Kubernetes, and hardening security (JWT, OAuth2, RBAC, rate limiting).

• Senior Full-Stack Engineer · X-Team05-01-2020 – 2023

  Real-time full-stack platforms with React clients and high-throughput Node.js APIs. Cut client sync delays 40% by architecting a real-time React + WebSocket infrastructure for a 20K+ monthly-user platform, eliminating polling bottlenecks entirely. Built React + Redux front-ends against high-throughput REST and GraphQL APIs (Node.js, NestJS, TypeScript, PostgreSQL, MongoDB), held up under production load via Redis caching with 95%+ test coverage and zero critical regressions. Owned PostgreSQL schema design and relational data modeling alongside index restructuring and query rewriting, improving database efficiency 35% across PostgreSQL and MongoDB workloads.

• Technical Lead & Full-Stack Engineer · Kwanso04-01-2016 – 02-01-2020

  Technical leadership across Node.js backends and React/Vue front-ends. Mentored 10+ engineers across Node.js, TypeScript and React through code reviews, architecture walkthroughs, and engineering standards, reducing tech debt 40%. Architected a large-scale full-stack platform from scratch: React SPA front-end, Node.js API layer, data modelling, auth, and deployment pipeline. It became the backbone of the company’s primary SaaS product. Cut deployment time 30% and increased backend throughput 20% via Docker/Kubernetes containerization, automated CI/CD, and Node.js/NestJS/TypeScript services on MySQL and MongoDB with React and Vue front-ends.

Education

• University of Education, LahoreMS, Computer & Information Technology

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