Software Engineer & Creative Developer.

Texas A&M MS Computer Engineering (in progress, Summer 2025) and BS Computer Science (May 2026). I build reliable systems, developer tooling, and expressive UI with strong fundamentals in ML and optimization.

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Python Machine Learning Java PyTorch TensorFlow Database Migration Automation Enterprise Scale API Integration Docker Git/GitHub Agile/SCRUM Computer Engineering Data Analytics Optimization Full-Stack Development

Projects

Hands-on work spanning ML, systems, and developer tools.

LSTM & Transformer Implementation

Implementation of LSTM and Transformer models for deep learning applications. Features advanced neural network architectures with attention mechanisms and sequential processing capabilities.

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CNN Implementation

Convolutional Neural Network implementation for computer vision tasks. Includes image classification, feature extraction, and deep learning model training capabilities.

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SVM Implementation

Support Vector Machine implementation with kernel methods for classification and regression tasks. Features optimization algorithms and hyperparameter tuning capabilities.

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Decision Tree for Banking Data

Decision Tree implementation specifically designed for banking data analysis. Includes feature selection, pruning techniques, and financial data preprocessing capabilities.

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Experience

Iron Mountain — Software Engineer (May 2023 – Aug 2023, Remote)

Owned design and deployment of an enterprise-scale Python migration system, transitioning 250+ clients to new infrastructure and reducing onboarding by up to two weeks.
Delivered a mission-critical automation suite replacing workflows equivalent to a full-time engineer’s annual workload, enabling a ten-person team to focus on retention.
Designed an analytics platform via custom API integrations to identify systemic ticket-flagging failures; presented to CEO and secured production adoption.
Engineered a scalable automation framework (6+ production scripts) reducing onboarding operations from >2 minutes to <1 second (≈99.3% gain) and prototyped a client-support tool endorsed by the CEO.

Education

Texas A&M University — College Station, TX

Master of Science, Computer Engineering — In Progress (Summer 2025)
Bachelor of Science, Computer Science — May 2026
Minor: Mathematics

Technical Skills

Languages: Java, Python, C/C++, SQL/MySQL, JavaScript, TypeScript, Haskell, PHP, HTML/CSS
Frameworks & Libraries: PyTorch, TensorFlow, NumPy, Pandas, React, Google Apps Script
Tools & Practices: Git/GitHub, Docker, VS Code, Visual Studio, Agile/SCRUM, TDD, RESTful APIs

Achievements

Dean’s Distinguished Student Award — College of Engineering
Led a team of three at a hackathon; delegated tasks and UI design; received positive customer-service feedback on the final product mockup.
Received C-suite recognition at Iron Mountain for a prototype client-facing solution endorsed for production.

About

Dual-degree student (BS Computer Science, MS Computer Engineering) at Texas A&M University with a minor in Mathematics and recognition as a Distinguished Student by the Dean of Engineering.

Professional experience includes developing enterprise-scale automation and analytics platforms at Iron Mountain, directly reducing onboarding time by 99.3% for various clients including Fortune 500 companies.

My projects primarily focus on machine learning systems that bridge theory with implementation. I have built regression models, SVMs, and neural networks entirely from first principles, and extended this work to advanced architectures such as LSTMs and Transformers for sentiment classification on large datasets.

Actively seeking opportunities in machine learning and software engineering to contribute to mission-driven teams solving complex, data-intensive problems.

Location: College Station, TX
Role: Student
Open to: Internships, Fellowships, Research, Collaboration

Contact

Email me LinkedIn GitHub