🚀 Helping clients scale product & engineering ops 🚀 Head Of Tech | FractionalCTO | Product Ops | Content Ops | Transformations | Automation | AEM Specialist | Solution Architect | E2E Technologist | Digital Strategist

From end‑to‑end hands‑on delivery to product‑wide modernisation — helping engineering teams 10× efficiency through fast AI adoption and automated workflows built on scalable architectures.

I’m a Senior Product Engineering Consultant and Fractional CTO (in practice) helping scale‑ups and established enterprises modernise their engineering systems and accelerate delivery through AI adoption and automation.

Over the past two decades, I’ve led and delivered large‑scale digital transformations across financial services, retail, and automotive, working with brands like HSBC, Nissan/Renault, and JPMorgan Chase.


My experience bridges strategy and implementation with hands‑on technical leadership. Core expertise includes:


– Adobe AEM/CMS: 10+ years of development, custom components, workflows and integrations (also Magnolia & Alfresco).

– Java/Spring Boot: Enterprise applications, microservices, REST APIs, Kafka, full‑stack development.

– Frontend: React, Angular, JavaScript, responsive design and modern web standards.

– Cloud & DevOps: AWS, CI/CD, Docker, automated deployment pipelines.

– AI Integration: Modern automation and GenAI‑powered development workflows (emerging).


Today, my focus is on:


✅ Modernisation & Efficiency: Evolving legacy systems into scalable, cloud‑ready architectures.

✅ AI‑Driven Delivery: Embedding automation and GenAI workflows into engineering pipelines.

✅ Team Empowerment: Building clarity, confidence and measurable improvement across delivery teams.


I combine deep technical knowledge with strategic execution to deliver measurable improvements in speed, quality and cost for my clients.


Open to strategic engagements and senior leadership roles in modernisation and AI‑driven engineering.


🚀 Currently: Consulting with scaling and established organisations to define their technology strategy, streamline delivery and build AI‑ready product foundations.

Manish Dani

Chief Roadblock Remover and Learning Enabler | Software Development Expert | Leadership & Career Coach | Speaker | Author | Building great products, building great teams!

🎯 I'm a result-driven 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗟𝗲𝗮𝗱𝗲𝗿, 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁, 𝗖𝗼𝗮𝗰𝗵, 𝗧𝗿𝗮𝗶𝗻𝗲𝗿 𝗮𝗻𝗱 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 with more than 20 years of professional experience in different domains, including the 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆, 𝗯𝗮𝗻𝗸𝗶𝗻𝗴, 𝗲𝗻𝗲𝗿𝗴𝘆 𝘀𝗲𝗰𝘁𝗼𝗿, 𝘁𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁𝗮𝘁𝗶𝗼𝗻, 𝗶𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘁𝗲𝗹𝗰𝗼. 🚀 My mission is to provide 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲 focused on architecture, the best agile practices, passionately 𝗯𝘂𝗶𝗹𝗱 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝘁𝗲𝗮𝗺𝘀 𝗮𝗻𝗱 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 to deliver innovative, 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀, working closely with customers and developing software products on different platforms.🎓 As a 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿, I published 20+ papers and book chapters in international conferences and journals (having more than 440+ citations and h-index 11 on Google Scholar), obtaining 𝗣𝗵.𝗗. 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝘀. Also, I have been involved as a 𝗿𝗲𝘃𝗶𝗲𝘄𝗲𝗿 𝗮𝗻𝗱 𝗽𝗿𝗼𝗴𝗿𝗮𝗺 𝗰𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 𝗺𝗲𝗺𝗯𝗲𝗿, member of ACM, the IEEE Computer Society, and GOAI Research group. 🧑‍💼 I work as a professional 𝗛𝗶𝗴𝗵-𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗖𝗮𝗿𝗲𝗲𝗿 𝗰𝗼𝗮𝗰𝗵 for people in engineering leadership positions.✍🏻 Additionally, I am a 𝗽𝗮𝘀𝘀𝗶𝗼𝗻𝗮𝘁𝗲 𝗮𝘂𝘁𝗵𝗼𝗿, who helps more than 400,000 engineers, managers, and architects to build great careers, products, and teams through various platforms and channels.𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲:📌 Leadership📌 Team building📌 Making things efficient📌 Creating self-contained systems📌 Be highly organized and make others too📌 Focus on strategy/goals📌 Make things happen📌 Career Coaching📌 Mentoring📌 Line management📌 Effective client communication📌 Software Architecture📌 DevOps mindset📌 Cloud (Azure)📌 .NET/C# (ASP.NET/WPF)📌 SQL Server/NoSQL📌 Agile methods (Scrum, Kanban, SAFe)📌 Product/project management📲 Feel free to contact me here via LinkedIn (DM)!

Dr Milan Milanović

AI writes code faster than you ever will

But it can't decide what problem to solve, which trade-offs to accept, or when the architecture won't hold

The keyboard was never the bottleneck

Your thinking was

And still is

Chief Roadblock Remover and Learning Enabler | Helping 400K+ engineers and leaders grow through better software, teams & careers | Author | Speaker | Leadership & Career Coach

Three algorithm books from MIT Press. All are free to read online.

Mykel Kochenderfer and team published a trilogy that covers ground most engineers actually need:

1. 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗳𝗼𝗿 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 (2019)
Linear programming, convex optimization, surrogate models, population methods. The math behind every search and tuning problem you've touched.

2. 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗳𝗼𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗸𝗶𝗻𝗴 (2022)
Probabilistic reasoning, sequential problems, reinforcement learning, and multi-agent systems. If you're building anything with AI agents, start here.

3. 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗳𝗼𝗿 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 (Preview)
Safety analysis, verification, and robustness testing for autonomous systems. The part most teams skip until something breaks.

I've been going through the Decision Making one recently. The treatment of POMDPs and game-theoretic methods is well worth your time.

Link: https://lnkd.in/dTUjF_xe

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