Hello, I'm

Daniel Hernandez

CS grad with expertise in Python, ML/Data Science, and Cloud Infrastructure. Passionate about solving complex problems through innovative technology solutions.

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About Me

Daniel Hernandez

Computer Science graduate from BYU-Idaho with 6+ years of experience in software development, AI, and data science. Skilled in building scalable applications, AI solutions, and cloud optimization.

Former Data Scientist at Dataplicada and Tesla Software Engineering intern, contributing to AI-driven decision-making and manufacturing optimization.

Passionate about leveraging technology to solve real-world problems, including computer vision, ETL systems, and backend architectures.

Python JavaScript React.js Laravel PHP C++ PyTorch Computer Vision RAG Agents GCP AWS DevOps CI/CD Docker Kubernetes ETL AI/ML

Work Experience

Software Engineer
Snapshot AI
May 2025 - Present
Miami, Florida, USA · Remote
Senior AI & Backend Developer
Reshut Tech
December 2024 - May 2025
Miami, Florida, USA · Remote
  • Led development of computer vision solutions using Python, PyTorch, YOLOv7, and Detectron2, performing model fine-tuning and comprehensive data analysis to optimize performance
  • Architected and managed cloud infrastructure on Google Cloud Platform, implementing DevOps practices for CI/CD pipelines, virtual machine configuration, and C# application deployments
  • Coordinated AI-related tasks within a SCRUM-based framework, managing team assignments and product delivery timelines
  • Collaborated with leadership to define project milestones and conducted Q&A reviews, ensuring quality delivery of AI initiatives
Data Scientist
Dataplicada
August 2020 - Nov 2024
Miami, Florida, USA · Remote
  • Developed feedbacker.cx from scratch, a cutting-edge service designed to help companies leverage data for strategic decision-making, using JavaScript, React.js, Laravel, and PHP. Deployed the application on a Linux-based server to ensure robust performance and reliability
  • Deployed a Python-based ETL system on Linux-based servers to capture valuable feedback from over 100 customers of third-party businesses, using TCP/IP for secure data transfer
  • Utilized a Retrieval-Augmented Generation (RAG) agent built with Python to extract in-depth business insights from customer feedback, employing LangChain, advanced language models like Llama3 and GPT-4, within a virtual environment
Software Engineer Intern
Tesla, Inc.
September 2022 - December 2022
Reno, NV
  • Engineered a specialized ETL process using Python for collecting real-time data from Powerwall line stations. Identified bottlenecks and minimized adhesive dispense waste by 20%, optimizing operational efficiency
  • Enhanced assembly line station logic to effortlessly generate distinct serial numbers for +4 Powerwall specifications, resolving database integrity issues
  • Integrated Kubernetes architecture and GitHub Actions, implementing CI/CD pipelines using Jenkins, Docker, in collaboration with cross-functional teams to establish a robust deployment infrastructure
Full Stack Web Developer
Consultant
January 2018 - December 2020
Remote
  • Collaborated with a team of developers to design and implement a virtual reality (VR) experience for Toyota Chile, as a strategic promotional initiative for a vehicle using JavaScript and KRpano
  • Designed and implemented a custom network protocol using C++ to facilitate real-time communication between embedded systems and a central server in an IoT project. This involved optimizing data transmission for low latency and high throughput, ensuring reliable connectivity across varying network conditions
  • Incorporated Ford Argentina API into a customer relationship management (CRM) system utilized by sales personnel across multiple dealerships. Facilitating efficient tracking of vehicle orders placed by customers using Laravel and PHP

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