Engineering Leader / Tech Lead — Laravel & Node.js

M. MursaleenI’m an engineering leader who ships with agents.

For ten years I’ve built software where failure isn’t an option — asset platforms inside Saudi Arabia’s National Health Command Center (NHCC) during the pandemic, the operations dashboard for Eutelsat’s satellite ground estate, and hospital-system modules used by some of Germany’s largest clinics. Along the way I grew from leading five engineers in Dubai to directing eighty through their team leads today.

I’m equally at home in two worlds most engineers pick one of: senior depth in both PHP/Laravel and Node.js/TypeScript. And for the past year I’ve run the entire software lifecycle agentically — from product requirement document (PRD) to development, testing, deployment, and final delivery, with AI agents doing the building and me doing the directing. A one-year roadmap shipped in months. Regulated financial compliance shipped the same way.

If you’re deciding whether I can lead your engineering org or ship your product: everything below is the evidence, and every claim is sourced.

How I deliver ↓Hire me →resume.json ↗

Islamabad → Dubai → Riyadh → Paris → orbit → everywhere

Three things
I stand on.

Scroll to go under ↓

Leadership at scale.

Grew from leading 5 at Mazajnet to 25 direct reports at Ascend to ~80 engineers through team leads in a 120-person company at Tanbits, and 6 senior engineers at Eutelsat. Second-line management: I manage the team leads who manage the teams. I sit at the center point between technical and non-technical executives — product decisions, client handling, delivery, approvals, market and competitor research.

Dual-stack mastery.

Genuinely senior in both the Laravel/PHP and the Node.js/TypeScript ecosystems, each proven on national and enterprise-scale production systems. Most engineers are senior in one and conversational in the other.

AI-orchestrated delivery.

Not "uses AI tools." I operate a development system: PRD-first, an orchestrator pattern that spawns builder, reviewer and tester subagents, file-based durable state, AI-generated unit and Playwright suites at near-total, CI-enforced coverage, sustaining scores of merged PRs per week. Proven by compressing a roughly one-year roadmap into a few months.

Everything below
is the evidence.

Start with how I deliver ↓

Base: Pakistan · Remote with US, EU and Gulf clients
Now: Tech Lead, Tanbits
Stacks: PHP / Laravel · Node.js / TypeScript
Since: 2016, senior within the first year

Where the work has been used

02 / How I deliver

I don’t “use AI tools.”
I run an operating model built on them.

I don’t “use AI tools.” I run a development operating model built on them.

Spawn → build, review, test in parallel → continuous integration (CI) → merge. State persists to versioned files and feeds the next session.

01
PRD-first
AI-drafted, human-reviewed, detailed product requirement documents drive every build. Specs are the contract between me, the client, and the agents.
02
Orchestrator pattern
A coordinating AI session spawns and manages sub-sessions with distinct roles: builders implementing features in parallel, reviewers validating builder output, testers. The orchestrator also manages the roadmap.
03
File-based durable state
Context, decisions and the roadmap live in versioned files, not model memory. Compounding engineering that survives any single session and accumulates institutional knowledge across weeks of work. Sessions are disposable; the state is not.
04
Validated output
AI-written unit tests and Playwright end-to-end tests maintain near-total, CI-enforced coverage. Velocity without quality drift.
05
Full-lifecycle coverage
The pipeline runs the entire software development lifecycle (SDLC) agentically: PRDs → AI development → AI Playwright testing → AI continuous integration / continuous delivery (CI/CD) → user acceptance testing (UAT) → final delivery. Practiced daily for more than a year at Tanbits.
06
Throughput
Scores of merged PRs per week, sustained, across accounts.
07
Two proofs
Mortgage Automator: a roughly one-year roadmap shipped in a few months (speed). Primexis & Groupe Aplitec: full-lifecycle agentic delivery of regulated financial automation with a five-engineer team (completeness and compliance).

Two proofs

Speed
Mortgage Automator
A roughly one-year loan-origination roadmap shipped in a few months.
Read the case study →
Completeness
Primexis & Groupe Aplitec
Regulated finance automation run agentically through the entire lifecycle by five engineers.
Read the case study →

The evidence, including the counterweightsWhat the studies actually show. Specific figures, never a flat “10×”.

GitHub Copilot randomized controlled trial (RCT) · Peng et al., 2023
55.8% faster task completion with AI assistance.
Microsoft / Accenture field RCTs · Cui et al.
+12.9 to 21.8% pull requests per week at Microsoft; +7.5 to 8.7% at Accenture.
Enterprise longitudinal study · arXiv 2509.19708
31.8% overall efficiency gain. AI-generated code scaled to ~40% of production code by August 2025 with no rise in revert or bugfix rates.
Bain Technology Report 2024/25
Average gains of 10 to 15%. 30%+ only for organizations taking a comprehensive approach. The system, not the tool, unlocks the upper band.
McKinsey · 4,500 developers
Roughly 46% time cut on routine tasks, under 10% on high-complexity work. The argument for orchestration plus validation.
Counterweight · METR RCT · arXiv 2507.09089
Experienced developers were 19% slower with AI on familiar codebases.
Counterweight · Veracode 2025
45% of GenAI code samples contained Open Worldwide Application Security Project (OWASP) Top 10 vulnerabilities.

The counterweights are exactly why the system exists. PRDs as contracts, reviewer agents, and CI-enforced AI test suites are the countermeasures. Knowing the failure modes is the credential.

The toolchain the system draws on

Claude Code
ChatGPT Codex
Cursor
GitHub Copilot
DevinAI
LangChain
n8n
ZapierAI
Replit
Lovable
DeepWiki

The tools are not the headline. The orchestration, durable state, review gates and CI-enforced test suites are.

Read the full write-up ↗

Dual-stack proof map

Senior in both stacks. Proven in production on each.

Most engineers are senior in one ecosystem and conversational in the other. Each column is backed by national or enterprise-scale systems I shipped.

PHP / Laravel

Proven on: NHCC asset performance management (APM) (Enoviimax)
Avelios modules
vFairs features
University EdTech platforms
Primexis & Aplitec automation
Backend: Laravel
Octane / FrankenPHP
Livewire
Inertia
Frontend pairing: Vue
Nuxt server-side rendering (SSR)
Data: MySQL
PostgreSQL
Redis
Languages: PHP
JavaScript / TypeScript
HTML5
CSS3

Node.js / TypeScript

Proven on: Eutelsat operations dashboard
ISN platform and apps
Mortgage Automator
Real-time systems
Backend: NestJS
Express
Node.js
Frontend pairing: React
Next.js
Data: MongoDB
PostgreSQL
Redis
Languages: TypeScript
JavaScript
Python
C (collaboration at Eutelsat)

Platform layer, both stacks

cloud: AWS EC2 · S3 · Lambda · SES · SNS · SQS · Serverless architecture
integration: REST APIs · Webhooks · WebSockets · GraphQL · Internet of Things (IoT) / device integration
payments: Stripe · Venmo · PayPal · Apple Pay
delivery: CI/CD · Git · GitHub · GitLab · Agile · Jira · Confluence · Asana
frontend: React · Vue · Next · Nuxt · Tailwind · Bootstrap · MUI

Ways to work together

Lead your org. Or ship your module.

01
Fixed-scope agentic delivery
PRD → Delivery → Maintenance for a product or module. Full lifecycle, agentically.
Product teams with a backlog that would take a year the traditional way.
View scope ↗Enquire →
02
Delivery system advisory
Audit and redesign how your engineering org ships with AI.
CTOs and VPs who have Copilot licences but no system.
View scope ↗Enquire →
03
Engineering leadership
I lead engineering orgs and install the AI-orchestrated delivery system in your teams.
Companies with 20 to 200 engineers that want velocity without quality drift, or enterprises modernizing delivery.
View scope ↗Enquire →

03 / Work and journey

Where I’ve worked,
and what shipped.

Four employers, newest first, each with the systems I delivered there. No gaps: Ascend ended December 2022, Tanbits began January 2023, and Eutelsat was a contract engagement alongside Tanbits.

Jan 2023 – PresentLahore, Pakistan
Tech Lead
Tanbits · Lahore · Doha · Boston association
Second-line leadership across a 120-person software house: I direct roughly 80 engineers through their team leads and own client handling, delivery, approvals and product decisions alongside the directors. Over the past year the whole delivery lifecycle has run agentically, from PRD to AI development, AI testing, AI CI/CD, UAT and final delivery.
80 · ~80 engineers via team leads, in a company of 120
2024 – 2025Paris, FranceContract
Web Dashboard Backend Team Lead
Eutelsat Group · Paris · remote
Backend / IoT contract engineer → Web Dashboard Backend Team Lead
Contract engagement, overlapping with Tanbits, for the world's first integrated GEO-LEO satellite operator. Started as a backend-to-IoT engineer and grew into leading the six-senior team building the internal, client-facing operations dashboard through which the ground and device estate is monitored and controlled.
6 · 6 senior engineers
1. Eutelsat Group · Satellite ground segment · IoT · Real-time2024 – 2025 · Contract
  The control surface for a satellite operator’s ground estate
  Started as a backend-to-IoT contract engineer and grew into leading the six-senior team building the complex internal, client-facing operations dashboard: the web interface through which the entire ground and device technology estate is monitored and controlled. Integrated all device controls end-to-end, from backend services to IoT-connected ground hardware, with real-time telemetry, alarms, service provisioning, traffic shaping and capacity management for network operators.
  - 650+OneWeb low-Earth orbit (LEO) satellites
  - 341geostationary satellites
  - 6,500TV channels through the fleet
  6 senior engineersRead the case study →
  Figures: Eutelsat investor presentation, June 2025
2020 – Dec 2022Riyadh, Saudi Arabia
Senior Software Engineer / Engineering Lead
Ascend Healthcare Solutions · Riyadh, KSA
GE HealthCare's partner in Saudi Arabia and the delivery partner that established the National Health Command Center. I led a 25-person cross-functional team building the asset performance management and hospital operations automation platforms integrated into the NHCC, during COVID-era national digitization.
25 · 25 direct reports, cross-functional
1. Saudi Ministry of Health, via Ascend · Healthcare · National infrastructure2020 – Dec 2022
  Asset performance management for a Kingdom’s hospitals
  I led the 25-person team that built the asset performance management (Enoviimax) and hospital operations automation platforms integrated into the Saudi National Health Command Center, during COVID-era national digitization. Nationwide tracking of medical equipment, real-time telemetry from device fleets including GE medical devices, preventive and corrective maintenance automation, inventory and scheduling, under formal uptime service-level agreements (SLAs).
  - 494hospitals in the national system
  - ~2,259primary healthcare centers
  - ~75,000beds
  25 direct · senior engineers, DevOps, design, quality assurance (QA), mobileRead the case study →
  Figures: Alharbi et al., BMJ Leader 2025 (PMID 39025486) · Ascend Healthcare Solutions
2016 – 2020Dubai, UAE
Software Engineer → Senior Software Engineer
Mazajnet, NTOS Ltd · Dubai, UAE
Promoted to senior within my first year. Led a team of five serving universities in the EdTech sector, supporting Sustainable Development Goal (SDG) 4 by helping institutions in underdeveloped countries adopt technology. The last two years were spent building features for vFairs, exactly as COVID pushed admissions and events online.
5 · 5 engineers, including 2 seniors
1. vFairs, via Mazajnet · EdTech · Events2018 – 2020
  Features for the events platform that went 20x during COVID
  In my last two years at Mazajnet I built features for vFairs, exactly as COVID-19 disrupted university admissions and moved events and education online. Alongside that, the team served several universities as EdTech clients and I took part in events educating faculty and management on how technology could help their institutions.
  - 100M+attendees on the platform
  - 30,000+events powered
  - 20xrevenue growth in 2020
  5 engineers, including 2 seniorsRead the case study →
  Figures: vFairs · UN Sustainable Development Goals
2012 – 2016Islamabad, Pakistan
BS Computer Science
FAST University Islamabad Campus (FAST-NUCES)
FAST-NUCES was federally chartered in 2000 as Pakistan's first multi-campus private-sector university. Ranked top in CS/IT by Pakistan's Higher Education Commission in 2020, known for rigorous bell-curve grading and graduates placed at Google, Microsoft, Amazon and Careem. Reported acceptance rate around 13%.
Majors: Artificial Intelligence, Database Management, Human-Computer Interaction, Operating Systems, Algorithms, Data Structures, Management Information Systems, Computer Networks.

Lahore

More work

Eventlify ↗
Event fundraising software. Led backend development, improved event management and Stripe payment processing for a global user base.
Avoxi ↗
Global cloud communications platform. Upgraded the UI with React for users in 150+ countries.
Rebuy.de ↗
Refurbished-electronics marketplace. MERN-stack enhancements to UX and transaction flows supporting sustainable consumption.

The thread through all of it

2016 – 2020 · Dubai
SDG 4 education outreach
EdTech for universities in underdeveloped countries, and events educating faculty and management on technology adoption. SDG-aligned work supporting Quality Education.
UN SDG 4 ↗
2020 – 2022 · Riyadh
Pandemic-era national health infrastructure
Asset performance and operations automation platforms integrated into the Saudi National Health Command Center, for a ministry, during COVID.
NHCC ↗
2023 – Now · St. Paul Island
Tribally-governed, NOAA-partnered climate monitoring
The Indigenous Sentinels Network platform and offline-first apps, with community data sovereignty under the CARE Principles.
ISN ↗

Client-scale figures describe the systems and organizations my work was part of, not personal attribution. Every figure is sourced on its card and on the case-study page.All sources ↗

04 / Volunteering

Volunteer engineering,
Pakistan.

Platforms I helped build for nonprofits on my own time: disaster relief, children’s cardiac care and poverty relief.

Alkhidmat Foundation ↗
Volunteered and helped build management platforms for disaster program management and education programs management.
One of Pakistan’s largest humanitarian NGOs: disaster response, education, health and orphan care programs nationwide.
Pakistan Children’s Heart Foundation ↗
Built platform features.
Nonprofit focused on treating congenital heart disease in children.
PAK CR ↗
Helped build the poverty relief management platform.
Poverty relief organization.

05 / Contact

Let’s talk.

If you are deciding whether I can lead your engineering org or ship your product, write to me. I reply myself.

Email a hire brief →

Available for engineering leadership roles and agentic delivery engagements. Remote with US, EU and Gulf clients.

Agent-ready

Hire me from your agent.

This portfolio publishes itself in machine-readable form. Point ChatGPT, Claude or any agent at the files below; every claim on the human pages derives from the same data.

AGENTS.md

# AGENTS.md — hire M. Mursaleen from your agent
Read: https://1mursaleen.github.io/llms.txt  ·  https://1mursaleen.github.io/resume.json  ·  https://1mursaleen.github.io/work.json
Then email a JSON brief to mursaleen.1r@gmail.com:
{
  "name": "<your name>",
  "contact": "<email or phone>",
  "company": "<company and what it does>",
  "engagement": "leadership-role",
  "brief": "<the role or the product/module scope, team size, stack, what success looks like>",
  "budget": "<range and currency>",
  "timeline": "<start date, duration>",
  "agent": "<agent name/model that prepared this brief, or \"human\">"
}

Static site, so there is no POST endpoint. The brief travels by email; the link below pre-fills it.

Open pre-filled hire brief →

For agents

Can an AI agent evaluate Mursaleen’s experience?

Yes. This portfolio publishes a structured resume at /resume.json (JSON Resume schema), a plain-text index at /llms.txt and a full dump at /llms-full.txt, structured case studies at /work.json, an OpenAPI description at /openapi.json, and an agent brief at /AGENTS.md. Everything on the human pages is derived from the same data.

How does an agent initiate a hire conversation?

Read /AGENTS.md. It specifies a JSON brief (name, contact, company, role or scope, budget, timeline, agent) and asks you to send it by email to mursaleen.1r@gmail.com. This site is static, so there is no POST endpoint; the mailto link on the homepage pre-fills the same JSON.

FAQ

Questions I get asked.

What roles are you looking for?

Engineering leadership first: Head of Engineering, Director of Engineering, or Tech Lead over multiple teams, where I can install the AI-orchestrated delivery system. Second, fixed-scope agentic delivery engagements for products or modules. Remote, working with US, EU and Gulf time zones from Pakistan.

Laravel or Node.js?

Both, at senior depth, each proven on national or enterprise-scale production systems: Laravel on the NHCC asset platform and Avelios modules; Node.js/TypeScript on the Eutelsat operations dashboard and the ISN platform. Vue/Nuxt and React/Next on the front.

What does “80 engineers” actually mean?

Second-line management at Tanbits, a company of about 120. Roughly 80 engineers are under my technical direction; I manage their team leads, and the leads manage their teams. Before that: 25 direct reports at Ascend, 6 senior engineers at Eutelsat, 5 engineers at Mazajnet.

How do you defend the AI productivity claims?

With specific numbers and their counterweights. Copilot RCT: 55.8% faster. Enterprise longitudinal study: 31.8% efficiency gain. Bain: 30%+ only for comprehensive approaches. METR: experienced devs 19% slower on familiar code. Veracode: 45% of GenAI samples had OWASP Top 10 issues. The system, PRDs, reviewer agents and CI-enforced tests, exists because of the last two.

Was Eutelsat overlapping with Tanbits?

Yes, deliberately. Eutelsat was a contract engagement in 2024 – 2025 alongside my Tech Lead role at Tanbits, which began January 2023 and continues.

Writing

2026-09-01

Inside the AI-orchestrated delivery system

Not “uses AI tools.” The operating model: PRD-first specs, an orchestrator spawning builder, reviewer and tester sessions, file-based durable state, and CI-enforced AI test suites. The files, the loop, the gates.

Read the post ↗All posts ↗

Reading

Mostly leadership, communication, and building companies.

How to Win Friends & Influence People · Dale Carnegie
Think & Grow Rich · Napoleon Hill
The 48 Laws of Power · Robert Greene
How to Get Ahead in the World · Napoleon Hill
Rich Dad Poor Dad · Robert Kiyosaki
The Hard Thing About Hard Things · Ben Horowitz

Full list, including the queue ↗

M. MursaleenI’m an engineering leader who ships with agents.

I don’t “use AI tools.”
I run an operating model built on them.

PRD-first

Orchestrator pattern

File-based durable state

Validated output

Full-lifecycle coverage

Throughput

Two proofs

Mortgage Automator

Primexis & Groupe Aplitec

Senior in both stacks. Proven in production on each.

PHP / Laravel

Node.js / TypeScript

Lead your org. Or ship your module.

Fixed-scope agentic delivery

Delivery system advisory

Engineering leadership

Where I’ve worked,
and what shipped.

Tech Lead

A year of loan-origination roadmap, shipped in months

Full-lifecycle agentic delivery for French finance and accounting firms

Core modules for the SAP-recommended successor to IS-H

Offline-first climate monitoring for a Tribally-governed network

Web Dashboard Backend Team Lead

The control surface for a satellite operator’s ground estate

Senior Software Engineer / Engineering Lead

Asset performance management for a Kingdom’s hospitals

Software Engineer → Senior Software Engineer

Features for the events platform that went 20x during COVID

BS Computer Science

SDG 4 education outreach

Pandemic-era national health infrastructure

Tribally-governed, NOAA-partnered climate monitoring