M Amin Majid

6+ years in modern full-stack engineering · Distributed Systems · Engineering Leadership

Skills

Frontend

  • React.js
  • Next.js
  • TypeScript
  • JavaScript (ES6+)
  • React Native
  • Tauri
  • Tailwind CSS
  • Shadcn / Radix UI
  • WebSockets
  • TanStack Query
  • GraphQL
  • Jest
  • Cypress
  • Micro-Frontend Architecture

Backend

  • Node.js
  • Nest.js
  • PostgreSQL
  • Prisma
  • Redis
  • Nginx
  • OpenAI API
  • pgvector
  • Microservices Architecture
  • Event-Driven Architecture
  • RabbitMQ
  • Distributed Systems
  • API Gateway Design
  • Multi-Tenancy Architecture
  • Rate Limiting & Throttling
  • Caching Strategies
  • Message Schema Versioning
  • Database Query Optimisation
  • Docker
  • AWS (EC2, S3, SES, RDS)
  • AWS Secrets Manager
  • CI/CD Pipelines
  • Observability & Alerting (Prometheus, Grafana)

Leadership and Architecture

  • Technical Leadership
  • System Design
  • Architecture Decision Records (ADRs)
  • Defining Engineering Standards
  • Technical Interviewing
  • Roadmap Planning with Product
  • Mentoring & Coaching Engineers
  • Engineering Management
  • Onboarding & Ramping Engineers

AI and Innovation

  • RAG Architecture
  • LLM Integration (OpenAI, GPT-4)
  • pgvector / Vector Search
  • AI-Powered Workflow Automation
  • Prompt Engineering for Production Systems
  • GenAI Integration in Software Delivery

Education

University of Lahore

Bachelors of Science (Hons) in Computer Science

09/2018 - 08/2022

Languages

Urdu, English, German (A2 & Improving)

Honours & Awards

Merit award in Industrial Head Category for Onsense AI

Work Experience

08/2025 - 05/2026
Draxon GmbHCologne
Senior Full Stack Engineer
Owned end-to-end development of core product features for an IATA-certified VR training platform deployed across 25+ airports and ground handling companies worldwide, spanning architecture, APIs, and high-performance user interfaces, along with DevOps and production reliability.
  • Led development of a web-based LMS for IATA-certified VR training modules deployed on Meta Quest headsets, built with Next.js, React, TypeScript, Tailwind, Shadcn/Radix UI, and TanStack Query.
  • Architected a VR Device Management & Analytics platform processing 100K+ device events/month; decoupled device telemetry ingestion from query-heavy analytics using event-driven architecture, WebSockets for real-time dashboard updates, and PostgreSQL with optimised indexing strategies, keeping API response times under 200ms.
  • Implemented multi-tenant data isolation and RBAC across the platform, supporting independent airport operator accounts with JWT-based auth middleware and API rate limiting.
  • Designed and scaled a Translation Management System with LLM integrations (OpenAI) and pgvector-powered semantic search, reducing manual translation overhead by ~70% across 5 supported languages.
  • Introduced RabbitMQ for async job processing, decoupling translation and reporting pipelines from the request cycle and eliminating timeout failures on long-running LLM tasks.
  • Built Redis caching layer for session management and frequently-accessed analytics queries, significantly reducing database load at peak usage.
  • Drove platform scalability and reliability improvements to support growing deployment across 25+ airports, including Prisma custom migrations, query optimisation, and webhook integrations for third-party services.
  • Led technical evaluation of new frameworks and tools, providing structured recommendations that shaped the platform's long-term architecture.
  • Owned CI/CD pipelines (GitHub Actions), AWS cloud infrastructure, and established observability strategy with Grafana and Prometheus alerting.
04/2023 - 06/2025
OnSense AIUAE (Remote)
Lead Full-Stack Developer
Led architecture and full-stack delivery of an ML-powered platform for product repair and maintenance, owning technical decisions from system design through to production.
  • Replaced Auth0 with an in-house authentication service supporting SSO across multiple internal apps, enabling centralised user and access management from a single admin portal, eliminating per-app auth complexity and licensing costs.
  • Built a customer support and asset management platform; automated ticket routing and asset tracking, cutting manual processing time from ~4 hours/day to under 30 minutes.
  • Delivered an internal toolchain for the AI team covering task assignment, dataset quality control, and work reporting, reducing cross-team coordination overhead significantly.
  • Built a computer-vision pipeline to convert static appliance diagrams into interactive exploded views, enabling technicians to navigate repair steps visually.
  • Architected a RAG-based AI customer support system for appliance repair, ingesting product manuals, repair diagrams, and historical support tickets into a vector database, enabling accurate, context-aware responses without human intervention.
  • Owned the full AI integration layer, pgvector embeddings and retrieval, OpenAI API prompt engineering, inference APIs, and PostgreSQL data pipelines feeding the ML team.
  • Built a microservices integration layer using Nest.js and RabbitMQ, standardising inter-service communication and message schema versioning across 6+ internal services.
04/2020 - 04/2023
Muami TechRemote
Full-Stack Developer
Full-stack developer in a lean 4-person team, delivering SaaS products and client platforms from zero to production across web and mobile.
  • Engineered a non-custodial multichain wallet (React Native, Node.js) supporting multiple chains with client-side key management.
  • Built a classified listings platform (Next.js, Express.js) scaling to 10,000+ listings and growing user engagement by 40% through performance optimisation and UX improvements.
  • Built a real-time team collaboration SaaS (React, Node.js, WebSockets) with chat, task management, and file sharing, shipped from zero to paying clients in under 4 months.
  • Developed a Safety SOR SaaS platform (React, Nest.js) used by 20+ international clients across 5 countries, handling compliance reporting and incident management workflows.
  • Automated affiliate content publishing via Node.js and Amazon API integration, reducing manual publishing work from 2 hours to 15 minutes per cycle.
  • Refactored core backend services, improving API response times by 25% through query optimisation and connection pooling.
09/2019 - 02/2020
3SALES GmbHGermany
Frontend Developer
  • Developed and optimised responsive, cross-browser compatible websites for German enterprise sales clients, achieving measurable improvements in page load times.
  • Collaborated directly with designers and stakeholders to translate complex requirements into clean, maintainable frontend codebases using modern JavaScript.
  • Implemented frontend performance strategies including code splitting, lazy loading, and asset optimisation, reducing load times significantly across client projects.
2014 - 2019
Freelance & Early Career
Web Developer
  • Built and maintained client websites, e-commerce platforms, and WordPress plugins across agencies in Sweden, England, and Pakistan, using PHP, JavaScript, and MySQL.