Computer Science Graduate · Math Minor · Technical Leadership · AI/ML Specialist

System Design · Client-Facing Technical Roles · Full-Stack Development · Team Coordination

I'm a recent Computer Science graduate from Texas Tech University with a Math minor, specializing in Artificial Intelligence and Machine Learning. I bridge the gap between complex technical systems and business needs — designing scalable solutions while effectively communicating with both technical teams and stakeholders.

My strength lies in translating intricate technical concepts into clear, actionable insights. Whether leading a capstone project team, coordinating multi-agent AI systems, or designing database architectures, I excel at both the technical implementation and the people-facing aspects of software development.

I'm passionate about roles where I can leverage my technical depth (from low-level systems to modern AI/ML) while working directly with clients, stakeholders, and cross-functional teams to deliver impactful solutions.

Key Strengths:

• Technical Depth: Full-stack development, AI/ML systems, database design, system architecture
• Communication: Explaining complex concepts in layman's terms, technical documentation, stakeholder presentations
• Leadership & Coordination: Team leadership, project coordination, cross-functional collaboration
• Problem Solving: System design, optimization, translating business requirements into technical solutions

Capstone Project - Real-time monitoring system for autonomous robotic systems with GPS anomaly detection

• Led team in developing LSTM-based anomaly detection (94% accuracy)
• Designed GPS prediction models (LSTM, IMU-based) for sensor data poisoning detection
• Implemented boundary detection systems for falsification prevention
• Coordinated ROS sensor data processing and validation
• Built real-time processing and visualization pipeline with multi-user dashboard
• Tech: Python, Flask, TensorFlow, ROS, PostgreSQL, Machine Learning

Complete ML Pipeline - Implementations of modern generative models

• VAE - Variational Autoencoders with latent space analysis
• GAN - Generative Adversarial Networks with training dynamics
• Diffusion Models - DDPM implementation on MNIST
• DCGAN - Deep Convolutional GAN with label smoothing research
• UNet - 1D and 2D architectures for diffusion models
• Tech: PyTorch, Python, NumPy, Matplotlib

AI Agent Development - Multi-agent systems and UML modeling

• Designed MCP-based AI agents with custom tools
• Coordinated Autogen Studio multi-agent collaboration
• Generated UML diagrams (Use Case, Class, Sequence, State)
• Built LLM-powered software applications
• Tech: Python, Autogen, Ollama, Gemini, MCP

Self-Adapting Language Models - Research project on adaptive AI systems

• Analyzed algorithm design for self-adapting models
• Conducted performance analysis and optimization
• Tech: Python, Research & Analysis

SQL & NoSQL Implementation - Comprehensive database projects

• SQL - Designed relational database (SoccerHub), complex queries, NL2SQL comparison
• MongoDB - Built NoSQL document database (CampusConnect social platform)
• Schema design, normalization, query optimization
• Tech: MySQL, MongoDB, Python, SQLAlchemy, LangChain

Languages: Python, C, Java, SQL, JavaScript, HTML/CSS
AI/ML: PyTorch, TensorFlow, LangChain, Ollama, Autogen
Databases: MySQL, MongoDB, PostgreSQL, SQLAlchemy
Web: Flask, React, REST APIs
Tools: Git, Docker, ROS, Linux, Jupyter Notebooks
Architecture: System Design, Microservices, API Design, Cloud Solutions

• Technical Leadership - Leading teams and coordinating complex technical projects
• Client-Facing Technical Roles - Working with stakeholders to translate needs into solutions
• System Design - Architecting scalable systems that meet business requirements
• AI/ML Applications - Applying generative models and neural networks to real-world problems
• Database Systems - Relational and NoSQL database design and optimization

📍 Lubbock, TX
📧 [email protected]
💼 LinkedIn
🐙 GitHub

Building smart systems from low-level logic up — and explaining them clearly.