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Available for Senior Full-Stack roles

Wasif Ali

Senior Full-Stack Engineer

I build scalable SaaS platforms, REST and GraphQL APIs, and distributed systems — shipping reliable production software across remote international teams.

A senior engineer who owns products end to end — architecture, APIs, delivery, and production performance — and picks the right tools for each problem rather than forcing one stack.

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6+
Years building production systems
10k+
Users served across SaaS platforms
~40%
Faster queries via schema & indexing
50%
Shorter release cycles after modernization

About

Senior engineer who owns outcomes, not just tickets

I'm a Senior Full-Stack Engineer with 6+ years building scalable SaaS platforms, REST APIs, and cloud-native, distributed systems across remote international teams. My core stack is Node.js, React, and TypeScript, backed by PostgreSQL, AWS, and a microservices architecture.

I've delivered client-facing products in fast-paced environments — adapting quickly across tech stacks, from React and Next.js on the frontend to Node.js, Express, and Ruby on Rails on the backend. I care about the parts that keep products alive in production: caching, observability, CI/CD, and clean system design.

Beyond the code, I ship with strong ownership and communication. I collaborate directly with stakeholders, translate business requirements into scalable solutions, and keep async remote teams aligned through code reviews, technical documentation, and mentorship.

Experience

Six years shipping and operating production software

  1. Nov 2024 – Present

    Turing

    Full Stack Engineer

    • Delivered full-stack features for international client products using React, Node.js, TypeScript, and Python.
    • Translated business requirements into scalable production solutions.
    • Built asynchronous workflows and third-party integrations (webhooks, OAuth, payment APIs), reducing production errors by ~30%.
    • Optimized PostgreSQL queries and Redis caching, reducing API response times by 35–40%.
    • Implemented CI/CD pipelines with GitHub Actions and Docker to accelerate release cycles.
    • Led async collaboration across distributed teams through code reviews, documentation, and mentorship.

  2. Jun 2021 – Oct 2024

    Devsinc

    Software Developer

    • Built scalable React and TypeScript applications serving 10,000+ users across client-facing SaaS platforms.
    • Developed REST APIs, RBAC authorization systems, and background job workflows with Ruby on Rails and PostgreSQL.
    • Collaborated with product teams and stakeholders under fast-paced delivery timelines.
    • Designed optimized PostgreSQL schemas and indexing strategies, improving query performance by ~40%.
    • Architected distributed microservice workflows, observability pipelines, and Docker-based AWS CI/CD deployments.

  3. Mar 2020 – May 2021

    ML Sense

    Software Engineer

    • Developed and deployed MERN-stack applications for startup clients from architecture through production.
    • Built authentication systems, admin dashboards, and multi-tenant user workflows for SaaS platforms.
    • Integrated third-party APIs including payment, SMS, and email providers with secure validation and error handling.

Featured work

Production systems, not demos

Selected work across multi-tenant SaaS, real-estate fintech, distributed asset tracking, and payroll modernization — each a short case study of problem, contribution, and outcome.

Maple HR — representative illustration of the product
Representative illustration — production UI is under NDA.

Maple HR

Private production project

A scalable multi-tenant HR and payroll platform serving 500+ organizations with real-time workflows and role-based access.

Problem

Hundreds of organizations needed isolated, real-time HR and payroll workflows on shared infrastructure, without sacrificing reliability or access control.

My contribution

  • Built multi-tenant backend services with RBAC authorization.
  • Implemented real-time workflows over WebSockets.
  • Collaborated across product and engineering stakeholders to deliver production-ready features.
  • Worked in a remote agile environment shipping reliably under delivery timelines.

Technical approach

Modeled tenant isolation and role-based access into the service layer, and used WebSockets to keep HR and payroll workflows live for every organization.

Architecture / workflow

React + TypeScript front end → Node.js microservices with RBAC → PostgreSQL, with WebSockets powering real-time updates.

Outcome

A production multi-tenant platform serving 500+ organizations with real-time, role-aware HR and payroll workflows.

  • Node.js
  • React
  • TypeScript
  • PostgreSQL
  • REST APIs
  • RBAC
  • WebSockets
  • Microservices
Live site
HoneyBricks — representative illustration of the product
Representative illustration — production UI is under NDA.

HoneyBricks

Private production project

A blockchain-enabled real estate investment platform with complex financial dashboards.

Problem

Investment dashboards pulled large, interrelated datasets and felt sluggish, hurting responsiveness across complex financial views.

My contribution

  • Developed high-performance frontend investment workflows.
  • Built GraphQL integrations that improved data-fetching efficiency.
  • Improved user responsiveness across complex financial dashboards.

Technical approach

Restructured data fetching around GraphQL with Apollo Client and tightened frontend state so dashboards stayed responsive under heavy data.

Architecture / workflow

React + TypeScript front end → Apollo Client / GraphQL data layer → Redux state, styled with Material UI.

Outcome

Faster, more responsive investment dashboards with more efficient data fetching across complex financial workflows.

  • React
  • TypeScript
  • Apollo Client
  • GraphQL
  • Redux
  • Material UI
Live site
Remote Asset Tracking & Ads Management — representative illustration of the product
Representative illustration — production UI is under NDA.

Remote Asset Tracking & Ads Management

Private production project

Distributed monitoring and remote asset management systems with real-time dashboards, supporting operational visibility across multiple US locations.

Problem

Operations spanned many US locations and needed real-time visibility, alerting, and geographic context over distributed assets.

My contribution

  • Architected distributed monitoring and remote asset management systems.
  • Built real-time dashboards and alerting workflows.
  • Integrated GIS / mapping for location-aware operational visibility.
  • Developed scalable backend services supporting multiple US locations.

Technical approach

Designed distributed services with real-time dashboards and alerting, layering GIS/mapping over asset data for geographic context.

Architecture / workflow

Ruby on Rails + React → distributed services over WebSockets → PostgreSQL, with GIS/mapping and RBAC.

Outcome

Operational visibility across multiple US locations through real-time, geographically-aware asset monitoring.

  • Ruby on Rails
  • React
  • PostgreSQL
  • GIS / Mapping
  • RBAC
  • WebSockets
  • Distributed Services
Source under NDA — happy to walk through the architecture on request.
BNR — Payroll Microservices Modernization — representative illustration of the product
Representative illustration — production UI is under NDA.

BNR — Payroll Microservices Modernization

Private production project

Modernization of a legacy monolithic payroll system into independently deployable microservices supporting ACH/RTP payment processing and payroll runs.

Problem

A monolithic payroll system was slow to release and fragile — a single fault could ripple across payment processing and payroll runs.

My contribution

  • Modernized a legacy monolith into independently deployable microservices.
  • Supported ACH/RTP payment processing and payroll runs.
  • Built financial system integrations.
  • Improved system fault isolation.

Technical approach

Decomposed the monolith into independently deployable services along payment and payroll boundaries, isolating faults and enabling faster, safer releases.

Architecture / workflow

Ruby on Rails microservices → PostgreSQL → REST APIs and financial integrations, with Sidekiq for background processing.

Outcome

Reduced release cycle time by ~50% and improved fault isolation across payroll and payment processing.

  • Ruby on Rails
  • PostgreSQL
  • REST APIs
  • Microservices
  • Financial Integrations
  • Sidekiq
Source under NDA — happy to walk through the architecture on request.

AI-assisted engineering

I use AI to move faster without giving up ownership of correctness.

AI tooling is part of how I work day to day — accelerating delivery while I stay responsible for design, review, and what ships. I use GitHub Copilot, ChatGPT, and Claude across scaffolding, debugging, and refactoring, with prompt engineering to get useful, reviewable output rather than blindly generated code.

How I work with AI day to day

  1. 1

    Scaffold faster

    Use AI to draft boilerplate, tests, and repetitive structure, then shape it to fit the codebase.

  2. 2

    Debug with context

    Feed real stack traces and code context to AI-assisted debugging to narrow down root causes quickly.

  3. 3

    Refactor safely

    Use AI to propose refactors, then verify behavior with tests and review before merging.

  4. 4

    Prompt deliberately

    Apply prompt engineering to get precise, reviewable output instead of vague suggestions.

  5. 5

    Own the result

    Treat AI as a fast collaborator — every change is reviewed, tested, and mine to stand behind.

Architecture building blocks

Distributed Systems

Independently deployable services with clear boundaries and fault isolation.

Event-Driven & Real-Time

Async processing and WebSocket-driven real-time workflows for responsive products.

RBAC & Multi-Tenancy

Role-based access and tenant isolation designed into the service layer.

Caching & Performance

Redis and distributed caching plus schema and index tuning for fast queries.

Observability

Sentry, Prometheus, Grafana, and Datadog to surface production issues early.

Cloud & CI/CD

AWS (EC2, ECS, S3, RDS, Lambda), Docker, and GitHub Actions for reliable delivery.

Third-Party Integrations

Payment, SMS, and email providers integrated with secure validation and error handling.

Reference architecture

Representative architecture — not every project uses all of these components.

Primary request flow: Client to the API and service layer to the data layer. The service layer optionally connects to background jobs and queues, third-party integrations, object storage, real-time WebSocket channels, and observability tooling.

Optional connections from the service layer

Technical consulting

Ownership from requirements to production

I don't just take tickets — I translate business requirements into scalable solutions and stay accountable through delivery.

  1. 1

    Understand the requirement

    Work directly with stakeholders to translate business needs into technical solutions.

  2. 2

    Adapt to the stack

    Move quickly across tech stacks to fit the product rather than forcing a favorite tool.

  3. 3

    Design for scale

    Choose architecture that holds up in production — distributed, observable, and maintainable.

  4. 4

    Ship reliably

    Deliver production-ready features under fast-paced timelines with CI/CD and testing.

  5. 5

    Communicate async

    Keep remote teams aligned through code reviews, documentation, and clear updates.

In plain language

“Modernizing BNR's payroll monolith into independently deployable microservices took a bit more up-front structure — but it cut release cycle time by half and meant one fault no longer put every payroll run at risk.”
— how I explain an architecture trade-off to a non-technical stakeholder

Skills

A grouped, honest view of the stack

Technologies I work with, organized by area. No proficiency bars — just what I use to build and operate systems.

Languages

  • JavaScript (ES6+)
  • TypeScript
  • Ruby
  • Python
  • SQL

Frontend

  • React.js
  • Next.js
  • Redux
  • Apollo Client
  • GraphQL
  • HTML5
  • CSS3
  • Tailwind CSS
  • Material UI

Backend

  • Node.js
  • Express.js
  • Ruby on Rails
  • REST APIs
  • GraphQL APIs
  • Microservices
  • WebSockets
  • Distributed Systems

Databases

  • PostgreSQL
  • ElasticSearch
  • DynamoDB
  • MongoDB
  • Redis
  • MySQL
  • Distributed Caching

Cloud & DevOps

  • AWS (EC2, ECS, S3, RDS, Lambda)
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
  • CI/CD
  • Nginx
  • Linux

Architecture

  • System Design
  • Event-Driven Systems
  • RBAC
  • Real-Time Systems
  • Async Processing
  • Third-Party Integrations

AI-Assisted Development

  • GitHub Copilot
  • ChatGPT
  • Claude
  • AI-Assisted Debugging
  • Prompt Engineering
  • AI-Enhanced Workflows

Observability & Delivery

  • Sentry
  • Prometheus
  • Grafana
  • Datadog
  • Apache Superset
  • Agile/Scrum
  • Jira
  • Notion

Education & achievements

Foundations and recognition

Education

  • Bachelor of Science in Computer Science

    Punjab University College of Information Technology (PUCIT)

    Sep 2017 – Jun 2021

Achievements

  • 3rd Place — Codex Inter-University Coding Competition by Tkxel
  • 3rd Place — PUCIT Codefest

Contact

Let's build something that scales

I'm open to Senior Full-Stack roles and challenging distributed-systems work. If you're building SaaS platforms, APIs, or cloud-native products and want an engineer who ships with ownership, let's talk.

Email meGitHubLinkedIn

Email
wasifdev59@gmail.com

Phone
+92 311 4458467