May I never boast except in the cross of our Lord Jesus Christ, through which the world has been crucified to me, and I to the world.
I am an engineer working on first-principles energy balances implemented in FPGA using verilog. This is my slice of the internet where I write about my random thoughts and experiments.
You can find some of my public code and projects on GitHub.
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Bridging Principles and Operations: Building a Fuel
Depot Digital Twin
Transitioning from field operations to software engineering, I built a comprehensive Fuel Depot Digital Twin that bridges the gap between physical reality and digital tools.
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Do Not Conform to This World
A reflection on 1 John 2:15-16: 'Do not conform to this world'. Understanding the transient nature of worldly desires versus the eternal love of the Father.
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Tabula rasa of the newly determined
On the blank slate of fresh determination - how starting over with clear intent transforms both learning and creating.
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Hash Tables II: Open Addressing and Linear Probing
Advanced Hash Tables: Open Addressing, Linear Probing, and the role of Tombstones efficiently managing data collision and deletion.
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Programming for the Love of the Game, Like God Intended
Learning to program is like mastering your favorite game - the same excitement, the same flow, just more time. Embrace programming for the pure joy of it.
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Machines in a Simulation
Exploring the deterministic nature of machines, the 'Role Over Effect', and the profound responsibility of human creators in the age of AI.
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Hash Tables I: Fundamentals of Fast Retrieval
An introduction to Hash Tables: understanding keys, hash functions, indexes, and buckets for efficient data storage and retrieval.
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Memory as Surprisal: A Relevance-Gated Learning
Framework
Exploring a bio-inspired learning framework using Convolutional Neural Networks that models memory formation through surprisal, salience, and dopamine modulation.
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Memory as Surprisal Analysis: Dopamine and What Gets Remembered
Exploring how memory functions as a surprisal analysis of cognition, with dopamine serving as the computational mechanism that determines what gets encoded into long-term memory.
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From Struggle to Discovery: Learned Helplessness, Reward
Prediction Error, and My Path to ML Research
A personal exploration of how discovering learned helplessness theory and its connection to reward prediction error in reinforcement learning transformed my understanding of my own learning struggles and ignited my passion for ML research.