🎓 B.S. in Computer Science (May 2026) & M.S. in Computer Science (May 2027)
🏫 University of Colorado Denver
💡 Passionate about AI, Robotics, Reinforcement Learning, and Autonomous Systems

Boulder, CO | May 2025 – Aug 2025

• Built a PDF storing and search application using OpenSearch and React, saving the company $9,000 annually.
• Migrated infrastructure from AWS to Azure, reducing cloud costs by 60%.
• Deployed three microservices on Kubernetes for scalable and efficient resource management.
• Converted legacy shell scripts into Prefect pipelines, enabling parallel execution and reducing cost by 50%.
• Developed ETL pipelines in Databricks, improving data ingestion and transformation performance.

Aurora, CO | Aug 2023 – Present

• Designed reinforcement learning environments in MuJoCo and MyoSuite for simulating human arm reaching tasks.
• Engineered custom reward functions (distance, velocity profile, smoothness) to achieve human-like motion.
• Conducted neural dynamics analysis (RNN vs. MLP, jPCA, noise robustness) for research publication.
• Automated GPU-based experiments, cutting training time by 40%.

Denver, CO | May 2023 – Aug 2023

• Processed and cleaned 50+ GB of experimental data using MATLAB and Python.
• Produced detailed spectrogram plots and statistical analyses supporting three research projects.

Python, C/C++, Arduino, Raspberry Pi, OpenCV

• Implemented motion planning with direct collocation and inverse kinematics for smooth trajectories.
• Built a closed-loop vision pipeline (ArUco markers, color detection) for autonomous cube sorting.
• Enabled real-time serial communication between Raspberry Pi and Arduino for servo control.

Python, Flask, PyTorch, OpenAI API

• Created a web app that transforms images into poems using a fine-tuned GPT-2 model.
• Integrated text-to-speech and a clean web interface for an interactive AI art experience.

Python, PyTorch, NumPy

• Developed white-box adversarial attacks on a CIFAR-10 classifier with > 99% targeted success under Linf constraints.
• Ranked 1st out of 10+ teams, demonstrating strong applied ML and optimization skills.

Languages: Python, C/C++, SQL, TypeScript, JavaScript, HTML/CSS, MATLAB
Frameworks: FastAPI, Flask, React, Node.js, PyTorch, TensorFlow
Cloud & DevOps: Azure, AWS, Docker, Kubernetes, Git, Prefect, Splunk, OpenSearch, Linux
Libraries & Tools: NumPy, Pandas, OpenCV, Matplotlib, OpenAI Gym, MuJoCo, Anaconda

University of Colorado Denver | Jan 2024 – Present

• Lead a 10+ member officer team organizing AI-focused workshops, hackathons, and panels reaching 150+ students.
• Oversee partnerships with tech companies and faculty to foster an interdisciplinary AI community on campus.

I’m a computer scientist and researcher exploring how intelligence can emerge in physical systems — from robotic arms to neural networks.
I’m driven by the intersection of AI, control theory, and neuroscience, and I love building things that move, learn, and adapt.

Let’s connect and collaborate on cool projects in AI, robotics, or applied ML! 🚀