AI Model Fine-Tuning Framework
Personal Project
Advanced machine learning project utilizing PEFT, Transformers, Datasets, and PyTorch with Intel GPU optimization for efficient model training and deployment.
Michael Hernandez
Computer Scientist & IT Manager | Aspiring Tech Innovator
About Me
AI & Data Engineering Specialist with a dual background in Computer Science and Business Administration. Experienced in building logical data pipelines, optimizing SQL databases, and utilizing Python for process automation and AI model tuning (RLHF). Proven ability to combine technical execution with operational management, having successfully founded a consultancy and managed departmental workflows. Skilled in bridging the gap between business planning and technical implementation to enhance product foundations and operational logic.
Education
Bachelor of Arts, Computer Science
University of Wisconsin – Milwaukee, Milwaukee, WI
Expected Graduation:
Master of Science, Information Technology Management
University of Wisconsin – Milwaukee, Milwaukee, WI
Expected Graduation:
Professional Interests
I'm passionate about exploring the threshold where AI meets UI, especially through innovative web applications. My goal is to help businesses discover how AI can transform their operations, customer experiences, and decision-making. I stay on the forefront of advancements in large language models (LLMs), agentic AI, and multimodal AI—always seeking new ways to integrate these cutting-edge technologies for real-world impact.
Activities & Other Interests
- Volunteering: Family Sharing Food Pantry – Grafton, WI
- Golf
- Active Angler
- Ceramics
- Biking
- Skiing
- Culinary Arts
Skills
Programming Languages
- Python
- SQL
- Java
- Kotlin
- C++
- JavaScript
Frameworks & Libraries
- Flask
- Django
- Pandas
- NumPy
- Matplotlib
- TensorFlow
- PyTorch
- Scikit-learn
- PEFT
- Transformers
- Datasets
- Chart.js
- React
- Node.js
Technologies & Tools
- RLHF
- NLP/NLU Logic Optimization
- Data Ingestion & Mapping
- Android Studio
- Git/GitHub
- ISO 9001 QA Standards
- SAP Integration
- Role-Based Access Control
- API Integration
Projects
Event Ticketing Application (iOS/Backend)
Driftless Music Gardens
Connected front-end interfaces to backend databases to enable seamless data flows for ticket verification and real-time updates. Managed concurrent user check-ins and ensured system stability and data integrity during high-traffic windows.
CPU Architecture Simulator
University Project
Built a simulator in Java capable of parsing and executing machine code, demonstrating a deep understanding of computer architecture and memory management.
Library Management Application
Personal Project
Comprehensive full-stack application allowing users and staff to navigate and update an entire library catalog with advanced features including book rating systems, inventory management, and user authentication.
Enrollment Management System
University Project
Full-featured Django web application for university course management featuring role-based access control, analytics dashboard, and data export capabilities.
Experience
Software Consultant & AI Data Specialist
Alignerr - Remote
- AI Model Tuning & NLP/NLU: Apply machine learning concepts to train and fine-tune next-generation AI models, specifically focusing on Natural Language Understanding (NLU) and code reasoning capabilities.
- Data Analysis & Security: Perform rigorous code analysis and debugging in Python, Java, and JavaScript to identify security vulnerabilities and ensure high-quality data outputs for model ingestion.
- Technical Documentation: Compose detailed justifications for code corrections, effectively mapping "unstructured" logic to structured engineering principles to improve model reasoning.
- Optimization: Evaluate edge-cases and logic structures to enhance the efficiency and accuracy of AI-generated content.
Operations Manager & Developer (Data Engineering Focus)
Cascade Cheese - Cascade, WI
- Data Pipeline Development: Designed and deployed a custom Android/Kotlin application acting as an ingestion tool to bridge data gaps between Google Sheets and a local SQL database.
- ETL/ELT Processes: Automated the extraction and transformation of inventory data, effectively eliminating manual data entry errors and synchronizing real-time datasets across a mesh network.
- System Integration: Integrated warehouse workflows with SAP protocols, optimizing data storage, retrieval, and mapping of production assets.
- Process Optimization: Applied algorithmic sorting principles to physical inventory management, redesigning business logic to maximize throughput and operational efficiency.
Department Manager & Machinist
Midwest Precision - Fredonia, WI
- Team Leadership & Management: Managed resources and scheduled complex workflows, demonstrating the leadership skills required to guide projects from conception to implementation.
- Quality & Security Compliance: Enforced ISO 9001 compliance, ensuring strict adherence to quality and security standards comparable to cybersecurity frameworks in data handling.
- Continuous Improvement: Fostered a culture of high performance and detailed validation, transferring rigorous physical QA standards to software debugging and unit testing.
Contact Me
Have a question or want to work together? Send me a message!