> David Hernandez

I am a computer science major with interest in Artificial Intelligence, Machine Learning, and Data Science. My goal is to learn — if I don't have the solution, I will find it.

> booting david.exe

Initializing profile...

> david.location

"Los Angeles, CA"

> david.contact

["davidhndz1@icloud.com", "GitHub", "LinkedIn"]

> david.resume

"resume.pdf"

> david.interests

["cooking", "baking", "soccer", "skating", "traveling"]

> david.education

"B.S Computer Science - California State University Los Angeles"

> david.languages

["python", "c/c++", "java"]

Me

Hello there, its great to see you. I'm someone who enjoys building things whether that's technology, community, or a really good meal in the kitchen. My background in construction and tech has shaped how I think: I like solving real problems and creating tools that make life a little more efficient and a little more fair. I'm especially interested in how AI and data can improve industries that don't always get the spotlight.

Outside of work and school, I'm happiest staying active and exploring. I enjoy cooking, traveling to new places, skating when I need to clear my head, and playing soccer whenever I get the chance. I appreciate experiences that challenge me and push me to grow.

At the core, I value family, commitment, and curiosity. I believe progress happens when people support each other, share what they know, and aren't afraid to try something new. I'm always looking to learn, build, and contribute wherever I can.

Experience

Software Engineer Intern

Hardline AI — Santa Monica, CA

Oct 2025 – Dec 2025

Supported production systems for an AI-powered VoIP platform, contributing to system reliability and operational performance in a live cloud environment. Worked extensively with AWS (EC2, S3, Lambda) to maintain infrastructure and automate secure data workflows.

Designed and implemented Grafana dashboards to monitor service health and business metrics, performing root cause analysis and profiling Python-based services to improve performance. Automated manual reporting pipelines using AWS Lambda and Python, reducing repetitive tasks and improving operational efficiency.

Collaborated directly with senior engineers and company leadership to author Software Design Specifications (SDS) and Software Requirements Specifications (SRS), translating strategic goals into actionable engineering tasks within the SDLC. Participated in Slack-based on-call support, responding to production issues in real time and maintaining technical documentation.

Python · AWS (EC2, S3, Lambda) · Grafana · Cloud Infrastructure · Monitoring & Observability · Production Support

Special Education Paraprofessional

LAUSD — Los Angeles, CA

Sep 2024 – Present

Collaborate with educators and support staff to implement structured learning plans tailored to individual student needs. Assist in the development and execution of Individualized Education Plans (IEPs), reinforcing strong documentation practices and cross-functional coordination. This role strengthened my communication skills, adaptability, and ability to operate in structured, process-driven environments while supporting diverse needs and priorities.

Cross-functional Collaboration · Documentation · Process Adaptation · Structured Planning · Communication

Projects

FlappyBird DQN

Built a Deep Q-Network (DQN) agent that learns to play Flappy Bird through reinforcement learning. The model trains continuously by learning from each run, improving its performance over time using reward-based feedback. The project was developed using Python and PyTorch to implement the neural network architecture, with Matplotlib used to visualize training progress and performance metrics. This project strengthened my understanding of Q-learning, neural network optimization, and real-time model evaluation.

Python · PyTorch · Deep Q-Learning · Neural Networks · Reinforcement Learning · Matplotlib · Model Optimization

Github

Sudoku-Solver

Developed a simple Sudoku solver using a recursive backtracking algorithm to efficiently search for valid number placements while respecting Sudoku constraints. The program systematically explores possible solutions, backtracks upon constraint violations, and guarantees a correct solution when one exists. This project strengthened my understanding of recursion, constraint satisfaction problems, and algorithmic efficiency.

Python

Github

BookStore Inventory App

Developed a console-based Book Store Management System using Object-Oriented C++. The application models different inventory types—including books, CDs, and DVDs—through class hierarchies that leverage inheritance and polymorphism. Implemented reusable class structures, dynamic behavior through virtual functions, and clean separation of responsibilities across object types. This project strengthened my understanding of core OOP principles, memory management, and modular program design.

C++

Github

Contacts

"davidhndz1@icloud.com" | "GitHub" | "LinkedIn"