18+
Years in software engineering
Engineering leadership · enterprise architecture · AI innovation
Engineering leader specializing in enterprise platforms, public digital transformation, enterprise integration, and AI-driven software delivery.

About
I am a Software Engineering Manager, Enterprise Solution Architect, and AI Engineering Leader with 18+ years of experience delivering enterprise software across government and commercial sectors. I lead organizations that design, deliver, and operate high-impact digital platforms.
I combine hands-on technical depth in .NET, APIs, distributed systems, data platforms, cloud delivery, integration architecture, and software quality with a management approach centred on ownership, coaching, measurable outcomes, and sustainable engineering practices.
My current focus is applying AI responsibly across the software delivery lifecycle—from code review and test generation to backlog decomposition and estimation—while preserving human accountability, technical governance, and measurable engineering outcomes.
Executive impact
Scale & leadership
18+
Years in software engineering
10+
Years in engineering leadership
20+
Software professionals led
150+
Public digital services delivered
500+
APIs delivered & government/enterprise integrations
1M+
Annual transactions processed
3M+
Active users supported
Engineering outcomes & operational impact
5+
Vendor engineering resources managed
25%
Engineering effort reduction through AI-assisted engineering
Engineering leadership
Lead an engineering organization of 20+ software professionals, including five direct-report technical leads responsible for multiple delivery streams and product teams.
Define architecture standards, engineering practices, technical governance, software quality expectations, and delivery controls for mission-critical digital platforms.
Conduct technical interviews, hiring assessments, onboarding, mentoring, and leadership development for technical leads and software engineers.
Coordinate vendor engineering resources, delivery performance, technical expectations, external partners, government entities, and business stakeholders.
Awards & recognition
SZABIST · 2020
Awarded on completion of the Master of Science in Computer Science programme, recognizing a 3.56 CGPA at the sixth convocation.
View certificateAbu Dhabi Municipality / Ministry of Infrastructure Development · Government Recognition
Recognition for distinguished contribution to a government rapid-service initiative related to road-accident workflows.
View certificateDepartment of Municipalities and Transport · 2021
Recognition for contributions toward the successful delivery of a departmental service-engineering and transformation initiative.
View certificateTAMM · Government Recognition
Recognized for effective contribution, participation, and achievement within Abu Dhabi Government's unified digital-services ecosystem.
View certificateExpertise
Engineering management, team scaling, technical leadership, recruitment, mentoring, delivery governance, vendor management, and engineering excellence.
Applied AI agents and engineering automation for code review, unit-test generation, backlog decomposition, estimation, and developer productivity.
Architecture & technology
Leadership experience
May 2022 — Present
Advanced Real Estate Services (ADRES)
Abu Dhabi, UAE
Lead engineering organizations delivering mission-critical government digital platforms, enterprise integrations, architecture modernization, engineering governance, and AI-assisted software engineering initiatives.
Jan 2022 — May 2022
Al Bayanat Al Alamya for Surveying Services
Abu Dhabi, UAE
Led engineering teams delivering enterprise government digital services and TAMM integrations, backend platforms, government integrations, technical governance, and software-quality initiatives.
Jun 2020 — Jan 2022
Exceed Information Technology
Abu Dhabi, UAE
Designed and delivered backend systems, APIs, government integrations, and production services for enterprise government digital platforms.
May 2019 — May 2020
Tech Mahindra
Abu Dhabi, UAE
Delivered backend solutions and enterprise integrations supporting government digital platforms and secure digital services.
Apr 2018 — Mar 2019
Dicetek LLC (Client: Abu Dhabi Commercial Bank)
UAE
Developed enterprise banking applications and backend services supporting secure financial systems and digital transformation initiatives.
Nov 2017 — Mar 2018
GET Group Holdings
UAE
Contributed to enterprise software development and integration solutions for government and private-sector clients.
Nov 2014 — Nov 2017
Interfield Software Solutions
UAE
Designed and delivered enterprise software solutions and digital transformation initiatives for government and private-sector organizations.
Earlier career foundation
Selected enterprise programmes
01 · Featured · AI-assisted software engineering
Applied AI agents, engineering automation, and human-governed workflows designed to improve code quality, testing, backlog readiness, estimation, and developer productivity.
Engineering Manager / AI Initiative Lead
02 · Government digital transformation
A large-scale digital real-estate ecosystem supporting public services, property transactions, secure workflows, enterprise integrations, and sector-wide digital transformation.
Back-End Engineering Manager / Solution Architect
03 · Abu Dhabi Government digital transformation
A major backend integration and service-onboarding initiative supporting the successful delivery of more than 50 municipal digital services through Abu Dhabi Government's unified TAMM platform.
TAMM Pioneer / Technical Lead — Backend Integration
04 · Public digital services
A secure digital-services platform connecting residents, businesses, and government entities through integrated online services, enterprise workflows, identity services, payment capabilities, and cross-government interoperability.
Engineering Lead / Senior Backend Engineer
05 · Government and private-sector integration
A government and enterprise integration platform providing innovative digital capabilities for public and private organizations through secure APIs, digital messaging, electronic signature, certificate services, workflow automation, and enterprise integrations.
Solution Architect / Senior Software Engineer
06 · Industrial SaaS platform
An enterprise software platform for industrial operations, digital reporting, workflow automation, asset and business management, and improved operational visibility across field-based organizations.
Software Engineer / Full Stack .NET Developer
AI engineering & innovation
My work focuses on practical AI-assisted engineering systems that improve software quality, developer productivity, testing, backlog readiness, and delivery effectiveness.
Engineering problem
Manual pull-request review requires significant engineering effort and can produce inconsistent feedback across teams and reviewers.
Approach
Designed an AI-assisted review workflow that analyzes changed code, applies engineering-specific review prompts, and publishes structured findings into pull-request workflows.
Outcome
Improved review automation, engineering feedback consistency, and the ability to scale quality practices across multiple delivery teams.
Governance: AI findings augment human reviewers. Human approval, engineering accountability, and repository policies remain mandatory.
Engineering problem
Unit-test creation requires engineering effort and can be inconsistently adopted across large and legacy .NET codebases.
Approach
Designed a Roslyn-based .NET unit-test generation workflow that analyzes source code, generates mocks and test structures, and produces NUnit-based tests for engineering review.
Outcome
Improved test-generation productivity and supported broader adoption of automated testing practices.
Governance: Generated tests require engineering review and must satisfy build, quality, coverage, and repository governance expectations.
Engineering problem
Large product requirements and epics require significant analysis effort before they are ready for engineering planning and implementation.
Approach
Explored AI-assisted workflows that decompose large requirements into structured epics, features, user stories, acceptance criteria, technical considerations, and delivery dependencies.
Outcome
Reduced repetitive analysis effort and improved the consistency and readiness of engineering backlog artifacts.
Governance: Product owners, architects, and engineering teams remain responsible for validation, prioritization, feasibility, and final backlog approval.
Engineering problem
Engineering estimation and repetitive software-delivery activities consume significant technical capacity across large teams.
Approach
Researched AI-assisted estimation and engineering automation workflows using repository context, structured prompts, engineering standards, and historical delivery considerations.
Outcome
Contributed to broader AI-assisted engineering practices associated with an approximately 20% reduction in development and QA effort.
Governance: AI-generated recommendations are advisory and require validation by technical leads, engineers, and delivery stakeholders.
Research & innovation
Published researcher with interests spanning AI-assisted software engineering, intelligent software agents, automated code review and testing, API security, distributed systems, and assurance of AI-enabled software systems.
23
Google Scholar citations
2
h-index
API Security · Machine Learning
Research Publication
Distributed Systems · Microservices
Research Publication
Web Engineering · Application Architecture
Research Publication
Research interests
Current research direction
Current research interests focus on applying AI agents and large language models to software engineering workflows while exploring assurance, governance, explainability, and human accountability for AI-enabled systems.
Education & credentials
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST)
UAE
Virtual University of Pakistan
Pakistan
University of the Punjab
Pakistan
Professional certification
Project Management Institute (PMI)
Let’s talk
Open to international engineering leadership, solution architecture, AI engineering, advisory, and research opportunities.