Mehtab Riaz.

I build software that is clear, reliable, and useful.

I'm a developer who likes hard problems—shipping maintainable code, tightening performance, and learning something new with every release.

Fintech, Web3, and data platforms

Featured Projects

Production Nuxt/Vue frontends, Rails APIs, and real-time data at scale.

Bridge by The Tie

Private

Enterprise communication platform Cross-platform messenger (web, mobile, desktop) with real-time WebSockets, WebRTC voice, Auth0 and multi-tier RBAC, plus audit trails and retention aligned with SOX, FINRA, and GDPR.

  • Nuxt 3
  • Vue 3
  • TypeScript
  • WebSockets
  • PostgreSQL
  • GraphQL
  • Docker
  • Tailwind
Bridge by The Tie product preview

Frosty Metrics

Public

Avalanche analytics platform Live analytics for DeFi, NFTs, gaming, and subnets with interactive time-series dashboards—and the Chill Factor score summarizing on-chain engagement.

  • Nuxt 3
  • Vue 3
  • TypeScript
  • Nitro / Node
  • Data viz
  • Tailwind
  • Docker
Frosty Metrics product preview

The Tie Terminal

Private

Institutional crypto data terminal Screeners, watchlists, alerts, and AI-assisted dashboards over live streams—optimizing heavy grids, search, and Core Web Vitals for professional traders.

  • Nuxt 3
  • Vue 3
  • Ruby on Rails
  • PostgreSQL
  • Redis
  • AWS
  • TypeScript
  • GraphQL
The Tie Terminal product preview

Overview

About Me

Senior full-stack engineer focused on production SaaS, real-time data, and fintech—shipping end-to-end features with Vue, Nuxt, React, TypeScript, and Ruby on Rails.

Mehtab Riaz

How I work

I thrive in cross-functional teams—translating product and compliance needs into clear specs, mentoring junior engineers, and owning delivery from design through deploy. I care about observability, performance, and maintainability, and I am comfortable in async, remote-first environments with institutional stakeholders.

Planning & delivery

I enjoy shaping architecture early—API contracts, data models, caching, and UX for data-heavy views—then iterating with metrics, code review, and CI/CD until the experience feels fast and dependable for users.

  • System design
  • Full-stack delivery
  • Performance
  • Security & compliance
  • Collaboration
  • Client communication

Engineering

Technical

How I ship production features, and the technologies I rely on for data-heavy interfaces and realtime systems.

How I ship

I gravitate toward ambiguous, high-traffic problems: performance on dense screens, reliable realtime delivery, and clear contracts between product, compliance, and engineering.

Technologies I use

Stack varies by product—this is what most of my recent shipping work looks like.

  • Vue
  • Nuxt
  • TypeScript
  • Rails
  • PostgreSQL
  • Redis
  • AWS
  • Docker
  • Node.js
  • React
Data Strings 01 by Colorpong: https://ywft.us/2177b695b

Career

Experience

Production SaaS, real-time crypto data, and enterprise communications—shipping end-to-end from UI through APIs, data stores, and cloud deploys.

Strategic Systems International

Senior Full-Stack Engineer · Jul 2022 – Present

Lahore, Pakistan · Remote-friendly

  • The Tie Terminal — screeners, watchlists, alerts, and AI-assisted dashboards for institutional crypto clients.
  • Vue 3 / Nuxt 3 + Ruby on Rails + PostgreSQL + Elasticsearch; Core Web Vitals and heavy grid UX.
  • Realtime alerts (Discord, Telegram, email, on-site), WebSockets, GitHub Actions, Docker, AWS (Lambda, EC2, RDS).

Devsinc

Assistant Software Engineer · Jan 2022 – Jul 2022

Lahore, Pakistan

  • Hotel management SaaS on Ruby on Rails — bookings, payments, multi-role access, REST integrations.
  • Query and indexing work across MySQL and PostgreSQL to cut latency on reporting paths.
  • MongoDB/Firebase integrations and automation with Python Selenium / MS Web Scraper.

Freelance

Software Engineer · Jan 2021 – Dec 2021

Lahore, Pakistan · Remote & on-site with clients

  • Cross-platform desktop apps with Electron.js for local businesses.
  • Barcode scanning and point-of-sale (POS) flows in Flutter.
  • Model training and fine-tuning for Roman Urdu text—including dataset work from reading papers and coordinating with authors across roughly 50 research publications.