AI & Deep Learning Insights
Thoughts, research, and expertise across business strategy, professional growth, and technical implementation.
Business & Engineering
How to Select AI Projects That Actually Deliver Value
A framework for evaluating AI initiatives based on impact vs. cost vs. risk, helping teams focus on the most valuable opportunities first.
Rethinking MVPs for AI Products
Balancing technical capabilities with business requirements when defining the Minimum Viable Product for AI initiatives.
AI Detective Work: Solving Real-World Client Challenges
Behind-the-scenes stories of diagnosing and solving challenging AI implementation problems for enterprise clients.
Personal Insights
From Engineer to Business Leader: The Value of an MBA
How business education transformed my approach to engineering challenges and opened unexpected career paths.
Leadership Dilemma: How Much to Shield Your Team?
Reflections on finding the right balance between protecting your team and providing necessary context about organizational realities.
Navigating Career Paths: My Exploration Across Tech Roles
Personal journey exploring consulting, product management, venture capital, and entrepreneurship with insights for technical professionals.
Technical Deep Dives
Scaling Laws for Neural Network Training: Beyond the Basics
Practical insights on step learning rates, continuously varying LR schedules, warmup periods, and optimization techniques.
Neural Network Optimization Techniques for Real-time Applications
Practical strategies for reducing latency and memory footprint in neural networks for edge devices.
Receptive Field Optimization in Vision Models
How receptive field design impacts computer vision model performance and ways to optimize for different use cases.
Miscellaneous
A collection of various resources, recommendations, and shorter content pieces.
My Reading List
Explore the books that have shaped my thinking about technology, business, and life.
View Reading ListQuick Thoughts
Shorter reflections that don't warrant a full blog post but might be interesting nonetheless.
April 15, 2025
The most underrated skill in AI engineering isn't algorithm design—it's knowing when to use an off-the-shelf solution versus building something custom.
March 28, 2025
After reviewing dozens of AI project proposals, I've noticed a pattern: the ones that start with a clear business problem rather than a cool technology are far more likely to succeed.