Using AI capabilities to redefine digital product managment
I am pleased to share with you a collection of my recent posts in LinkedIn on the topic of embracing coding with AI assistance to learn, experiment and develop a wide variety of concepts and opportunities across industries. It has been a fulfilling learning and discovery journey. I have been an engineer and a technologist at heart. Over the years, I moved into management and technology enabled delivery roles. In that period, I supported CIOs at global enterprises with revenue growth through targetted digital transformation of their organisations.
Whereas it has been professionally fulfilling, I have always wanted to be hands on with evolving technology. Whereas I have had some opportunity to support startup and scale up organisations take their innovations to market; the fast evolving technology capabilities (like numerous languages, frameworks, syntax etc) have meant that for someone who is not a full time developer, it has been quite difficult to take a concept to reality and with agility validate the product/market fit. With the new LLM powered AI assistants that have become matured and become more available over the last 3–6 months, the playing field has been levelled and reshaped for good. Now, it is possible, as you will see in the work that I have tried to captured in my posts (for someone with curiosity and a little bit of tenacity) to take any concept or challenge to reality within a very short span of time.
In the last 30 days, I have attempted Kaggle competitions and just translated my thoughts into working software most within 48–72 hours each. They have been of different levels of complexity and variety (building machine learning models to predict 3D protein structure, building and integrating cyber security solutions, creating a tool to translate documents between multiple languages using cloud integration). I have published most of the code publicly — you can see/build upon those here
Of course, more work is necessary to take the output to production. The fundamentals of product design and development are still necessary— such as performing a proper product & market fit, assessing & validating user needs, clarifying the desirability, viability and feasibility (DVF). However, the evolving AI capabilities support a digital product manager to fast tracking how they conceptualise and validate the concept much quicker with both users and developers. It is a significant step up from powerpoint presentations and mock ups.
I have maintained a video log of some of the work for reference too - it is available in this YouTube podcast
LinkedIn Post Listing
January 2025
Building a cloud native tool to translate documents between languages
December 25
Using GenAI for designing potential protein folds
Building a Story Generator from Videos
Building and Testing Cybersecurity solutions
Exploring 3D Protein Structures in Cyro dataset and Building Machine Learning Models to Predict
