Building AI-powered applications and exploring the future of web development
I create web apps, experiment with AI/ML, and contribute to open-source projects. Welcome to my digital space where I showcase my work and share what I'm learning.
Insights and updates from my LinkedIn
In my last post, I explored the critical role of context management in getting the best results from AI. Today, I want to share two real-world examples that highlight a simple but powerful technique you can start using immediately.
Context Engineering: The $100K Skill You
In my last article, “What if GenAI could give MedTech professionals back tens of thousands of hours a year?”, I shared how my experience programming with coding agents. In this follow up, I wanted to share how I approached writing an advanced RAG solution to help MedTech professionals to efficiently
That’s not a hypothetical—it’s a real possibility I’ve been exploring as I build GenAI-powered solutions for regulatory documentation in MedTech and BioTech. MedTech and BioTech are governed by regulators like the FDA, EMA, PMDA, ANVISA, and IMDRF.
I’ve taken up coding as a hobby recently. The last time I wrote code was before C#, GitHub, containers and development pipelines.
AI-curated insights on MedTech, Manufacturing, and AI
This article discusses the design and validation of a flexible framework for creating generic digital twins, a critical component of Industry 4.0. It highlights how digital twins bridge the gap between physical and digital spaces, driving advancements in manufacturing and the transition to Industry 5.0. The study emphasizes the transformative potential of digital twins in the ongoing physical-digital revolution.
The article discusses key predictions for the MedTech industry in 2026, highlighting the impact of the NHS's 10 Year Health Plan on innovation and implementation. It provides insights into upcoming trends and challenges in healthcare technology advancements. This content is highly relevant to MedTech and healthcare technology developments.
The article discusses the growing integration of AI in the medtech industry, highlighting forecasts that AI applications in healthcare will reach $19 billion by 2027. It also notes the significant spending by medical device companies on AI, valued at $2.4 billion in 2024, emphasizing the transformative potential of AI in medical technology.
Abbott has received FDA approval for its Volt PFA system, allowing it to compete in the growing pulsed field ablation market alongside Medtronic, Boston Scientific, and J&J. This development highlights advancements in MedTech and the competitive landscape of innovative healthcare technologies.
Edwards Lifesciences has received FDA approval for its Sapien M3 mitral valve replacement system, marking the first approved treatment for mitral regurgitation using a transseptal approach. This innovation represents a significant advancement in MedTech for minimally invasive cardiac care. The device is expected to improve outcomes for patients with mitral valve disease.
This article explores the role of digital twins in manufacturing, highlighting their importance in creating smarter and more agile factories. It positions digital twins as a key technology within Industry 4.0, enabling data-driven decision-making and operational efficiency.
The National Institute of Standards and Technology (NIST) is investing $20 million to bolster AI applications in manufacturing. This initiative includes establishing two centers in collaboration with Mitre Corp to advance AI technology and cybersecurity in industrial settings. The move aims to enhance innovation and operational efficiency in manufacturing processes.
The article highlights recent advancements in surgical robotics, including FDA approvals for Medtronic and CMR Surgical, as well as SS Innovations' application for clearance. It provides an overview of the latest developments in robotic-assisted surgery technology. This content is highly relevant to MedTech and healthcare technology innovations.
Quick notes and discoveries from my learning journey
Better agent control using hierarchical agent.md/claude.md file structure:
DSPy's BootstrapFewShot optimizer can learn from user feedback to improve prompts automatically - no manual prompt engineering needed.
I'm a MedTech advisor and AI enthusiast who recently returned to coding as a hobby to better understand generative AI solutions. My professional background spans MedTech & Medical Devices, Manufacturing Operations, Supply Chain & Logistics, and Regulatory & Compliance.
I specialize in AI solution design, prompt & context engineering, and facilitating executive brainstorming sessions using design thinking and value modeling methodologies. Whether it's architecting RAG systems or exploring the latest LLM capabilities, I love bridging the gap between technical possibilities and business value.
When I'm not coding or advising clients, you'll find me in the kitchen experimenting with new recipes, in my workshop building furniture, or out capturing moments through my camera lens.