Shipping at PepsiCo
Continuing to build and support business-facing applications with the reliability, maintainability, and operational ownership expected of enterprise systems.
Career timeline ↗
Updated July 2026
What has my attention right now.
A living snapshot of the products, technologies, questions, and creative work I am investing in—not a polished archive of everything I have done.
Current focus
Building strong foundations for intelligent products.
My current work sits at the intersection of full-stack application delivery, cloud-native operations, and practical AI engineering.
From prototypes to useful systems
Deepening work with RAG, agentic workflows, MCP, model adaptation, evaluation, and Azure AI.
AI case study ↗Writing the experiment down
Turning workshops, architecture ideas, and hands-on discoveries into notes that are useful after the moment passes.
Read notes ↗Making AI features observable and trustworthy
The interesting work is no longer just calling a model. It is designing context, evaluation, fallbacks, feedback loops, cost controls, and human checkpoints around the model.
Compare ideas ↗
Recent public code
All repositories ↗
Repositories moving most recently.
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fullstackdevelopment
Full-stack application experiments and examples across the modern web stack.
My-code
Competitive-programming practice, algorithms, and implementation work.
portfolio
The source and evolution of this multi-page personal website.
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Recent writing
Medium profile ↗
Notes from the learning edge.
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My Experience with Monad 101 Speed Run Session 1
A first-person reflection on joining the Monad 101 speed-run session and learning through direct experimentation.
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Working principles
What I am optimizing for.
Useful outcomes, systems that can be operated, and learning that compounds into better judgment.
Working on a problem in this neighborhood?
I’m always interested in thoughtful conversations about product engineering, cloud systems, and trustworthy AI features.