Building intelligent systems that automate complexity and unlock new possibilities. From predictive analytics to computer vision, transforming data into powerful, actionable insights.
I'm a Machine Learning Engineer and 2025 graduate from Carnegie Mellon University, where I learned to make machines think and occasionally overthink; with a focus on developing intelligent systems at the intersection of data, science, and impact. On a mission to blend logic, creativity, and a hint of chaos, currently leveling up to become an ethical hacker (white hat, of course⌠mostly đ).
My work spans a diverse range of domainsâfrom healthcare and neuroscience
to optimization, time-series analysis, and generative
modeling. I have contributed to research in neural signal decoding and medical data analysis,
developing solutions such as Graph Attention Networks combined with Reinforcement Learning
to optimize the Periodic Vehicle Routing Problem (PVRP).
I've worked with real-world
datasets, including NASA weather records, structural design optimization data, and bank
marketing datasetsâpredicting client term deposit subscriptions from behavioral and campaign features.
In computer vision, I've trained Convolutional Neural Networks (CNNs) on CIFAR-10 for
image classification and implemented Denoising Diffusion Probabilistic Models (DDPMs) to
generate realistic MNIST digits from noise. I have also built GAN-based pipelines for data
augmentation and adversarial scenarios.
For sequential modeling, I've utilized Long
Short-Term Memory (LSTM) networks to analyze and forecast time-series data, enabling accurate
predictions in dynamic environments.
I believe machine learning should be useful, ethical, and a little
bit magical. Let's build something brilliant together.
I thrive on solving problems that make others scratch their heads. Whether it's debugging a stubborn Adversarial Networks, breaking into a secure system (ethically!), or pursuing perfection with a vengeance (yes, I'll refactor code at 2 AM if it's not elegant). I'm a puzzle-solver, a gamer(yes, I've defeated gods and hunted monstersâshoutout to Kratos and Geralt), an audiophile, and a high-functioning sociopath with a passion for deduction (no consulting detective title yet, but I'm working on it). I occasionally switch gears to sketch something with just a pencil and some imagination. When I'm not coding or cooking up ML models, you'll find me literally cookingâbecause I'm also an expert in the kitchen. Ask me about my signature dish sometime.
Obsessed with perfection, driven by curiosity, and fueled by playlists and plot twistsâI see the world as a system waiting to be reverse-engineered.
"When you eliminate the impossible,
whatever remainsâhowever improbableâmust be the truth."
— Sherlock Holmes
To me, code is more than logicâit's a layered system of hidden patterns and truths. As seen in stories like Death Note, Classroom of the Elite, Hunter x Hunter, and One Piece, reality often reveals itself only to those who look beyond the surface. In both code and life, perception is just the beginning.
2019-2023
Bachelor's‐‐ Chemical Engineering
B.M.S. College of Engineering
2023-2024
Master's‐‐
Artificial Intelligence Engineering &
Chemical Engineering
Carnegie Mellon University
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Nov 2022 - Mar 2023
ML intern
IIChE
Sept 2024 - Dec 2025
Graduate-IT Associate
Carnegie Mellon
Jan 2025 - Apr 2025
Data Scientist
Carnegie Mellon
Feb 2025 - Feb 2026
Data Scientist
Flutter Application Developer
Carnegie Mellon
