Overview

Strategic modernisation, architecture stewardship, platform reliability, and engineering enablement across cloud-native .NET and JavaScript ecosystems.

Snapshot

• 20+ years delivering and modernising distributed and legacy-backed platforms
• Architectural refactors (WebForms / legacy PHP → .NET Core APIs + Vue/TypeScript)
• Hands-on + strategic: code, design reviews, roadmap alignment, capability building
• Cloud & delivery: Azure, AWS, CI/CD (GitHub Actions), incremental modernization strategies
• Leadership: mentoring (2–35 dev teams), developer experience uplift, process pragmatism
• Publication background (image processing research) blending analytical rigor with delivery pragmatism

Core Value Themes

Theme	Focus
Modernisation	Modularisation, API-first, progressive refactor seams
Architecture	Layered design, service boundaries, OpenAPI clarity, maintainability
Delivery	CI/CD reliability, build automation, environment parity
Leadership	Mentorship frameworks, technical strategy translation, enablement
Frontend Evolution	Vue/TypeScript migration, component systems, Storybook adoption
Observability	Telemetry baselines, structured logging readiness

Team Building & Enablement

• Enable platform scalability by reducing hidden coupling and clarifying integration contracts.
• Raise engineering leverage: codify decisions (ADRs), strengthen review culture, remove toil.
• Align refactor work with product throughput (parallel track decomposition, thin-slice risk mitigation).
• Mentor through architectural intention—not just code critique.
• Advocate measurable small improvements over speculative rewrites.

Recent Modernisation Arc

Phase	Before	After / Direction
AI Team Workflow	ChatGPT + manual	Copilot/Claud, CLIs, Instructions, Prompts, Chat modes, tools
UI & Delivery	WebForms + jQuery	Vue 3 + TypeScript + Vite, modular front-end layers
Backend	.NET Framework / PHP mix	.NET Core (6→10 path) + API-first layering
Deployments	Manual multi-day windows	CI/CD, <1 day platform cycles, minutes for FE
Source Control	Fragmented / absent	Unified GitHub workflows + branching standards
Architecture	Postback & page logic	Clear separation: API, domain, integration layers
Review & Quality	Ad-hoc	Structured code review guidelines + onboarding docs

Leadership Contributions

• Introduced development that encourages self organised teams to work on migrations in parallel with feature delivery.
• Introduced Storybook-driven component workflow improving UI consistency & reusability.
• Built lightweight architecture documentation sets (diagrams + ADR stubs) reducing onboarding time.
• Established telemetry starting points (naming, log shape conventions).
• Guided phased replacement of legacy segments without halting feature delivery.

Experience Map

Role	Organisation	Span	Focus
Lead Software Developer	Booking Online Ltd	2019–Present	API-first migration, Mobile Apps, modular UI, CI/CD
IT Operations Manager	Countrywide Plc	2015–2019	Team leadership, stack modernisation, Azure shift
Lead Software Engineer	Riskvantage	2011–2015	Risk Management, Compliance, Reporting
Director	Subhani Brothers Ltd	2009–Present	Team Leadership, bespoke systems, Cloud Transformations, Driver Apps, Game Development

Skills Grid

Category	Keywords
AI/LLMs	Open AI API, MCP Servers, FastApi, LangChain, Image(2D) and Video Processing(3D early estimation)
Backend & APIs	C#, .NET Core, REST, OpenAPI, Laravel, Lumen
Frontend	Vue 3, React, Angular, TypeScript, Component Architecture, Storybook
Cloud & DevOps	Azure, AWS, GitHub Actions, Docker (select), PowerShell, Automation
Architecture	Modular Monolith, Service Extraction, Layered Design, ADRs
Delivery	CI/CD, Environment Parity, Code Review, Developer Experience
Data & Integration	MySQL, MSSQL, Mapping APIs, Media Handling, Image Processing
Leadership	Mentoring, Roadmap Alignment, Stakeholder Translation, Team Enablement

Research

• Image Processing: "Low Latency Mitigation of Rain Induced Noise in Images" (IET CVMP 2008) — https://ieeexplore.ieee.org/document/4778734
• MPhil Thesis: "Image Sequence Analysis for Noise Removal" (The University of Manchester)

Education

• Postgraduate Research — The University of Manchester (noise in image sequences)
• MPhil Computer Engineering — The University of Manchester (image processing research)
• MSc Computer Engineering — NUST, Islamabad
• BCE Computer Engineering — COMSATS, Islamabad
• FSc Pre-Engineering — IMCB F-8/4 Islamabad

Contact

• LinkedIn: https://www.linkedin.com/in/farrukhsubhani
• GitHub: https://github.com/mfsbo
• Full CV: Professional CV