Open to opportunities

Azhar Mahmood

@azharmahmood2

Message

Senior full-stack engineer building scalable AI-native products end to end.

Pakistan

Message

What I'm looking for

I’m looking for a team where I can own end-to-end product delivery, ship scalable AI-native features with agentic workflows and RAG, and collaborate closely with product, design, and QA to build simple self-serve experiences.

I’m a senior full-stack engineer with 6+ years building and scaling production systems across fintech, e-commerce, and AI-native platforms. I own products end to end—from database and backend architecture to responsive interfaces—and I ship high-leverage features fast by applying modern AI tooling.

I focus on practical engineering that moves from idea to production: agentic workflows, RAG, and Claude to produce production-ready outputs. At Fliplet, I designed and built an AI-native application builder (Vue.js/Node.js) that lets users generate and customize apps through agent-driven workflows, cutting typical build time by ~70%.

I also deliver reliable, scalable foundations—reusable component libraries, micro-frontends, real-time messaging, secure auth, and payment integrations. I work closely with product, design, and QA to deliver simple, self-serve solutions that scale, and I integrate automated AI evaluation and quality checks to keep generated apps consistent at scale.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Fliplet

Oct 2024 - Present (1 year 9 months)

Designed and built an AI-native application builder that lets users generate and customize apps via agent-driven workflows, cutting typical build time by ~70%. Built agentic AI systems with Claude, and implemented backend services using Node/Express/NestJS with REST and real-time WebSocket communication.

Vue.Js Node AI Agentic Workflow Claude Multi Step Reasoning Nuxt Vuex React Next.js Angular TypeScript HTML5 Express NestJS REST WebSockets Socket.IO

Senior Software Engineer

Ottu

Nov 2022 - Sep 2024 (1 year 10 months)

Delivered a micro-frontend platform using Single-SPA with a modular CMS for non-technical content creation and publishing. Built real-time messaging/notifications, fast search and filtering, secure authentication/authorization with Firebase, and deployed supporting services on AWS with Docker and Kubernetes.

Vuetify RabbitMQ Notifications Filtering PostgreSQL MySQL MongoDB Redis Firebase Authentication Authorization AWS EC2 AWS ECS S3 SNS Amazon SQS Docker Kubernetes CI CD Claude Agentic AI RAG OpenAI Codex Cursor

Software Engineer

Adelphi Stock Brokers

Jun 2021 - Oct 2022 (1 year 4 months)

Built a multi-role private-placement investment platform covering back-office, issuer, banker, and investor workflows using Node/Next/React and PostgreSQL. Integrated regulated financial infrastructure (IBM MQ, DTCC, SpeedRoute, SFTP) for secure trader routing and settlement and deployed containerized services on AWS with Redis for low-latency performance.

Node Next.js React PostgreSQL SFTP AWS EC2 AWS ECS S3 Redis

Full-stack SPA

QMS Media

Jan 2020 - Jan 2021 (1 year)

Built a full-stack SPA for asset management with scheduling and invoicing features. Implemented automated PDF contract generation and integrated NetSuite.

React PostgreSQL AWS Asset Management Scheduling Invoicing Contract Generation NetSuite Integration

E-commerce platform

ElephantStock

Jan 2020 - Present (6 years 6 months)

Developed an e-commerce platform with product catalog, filtering/search, cart, and order processing. Added shipping and payment integrations and used Angular, Node, MongoDB, and AWS.

Angular Node MongoDB AWS Product Catalogs Filtering Order Processing Payment Integration

Education

Degrees, certifications, and relevant coursework

PUCIT (University of the Punjab)

Bachelor of Science, Software Engineering

2016 - 2020

BS in Software Engineering at PUCIT (University of the Punjab). Worked on coursework/projects involving regulated financial infrastructure for secure traderouting and settlement, and deployed containerized services on AWS for low-latency performance.