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.

Get in Touch View Articles

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.

Currently a Senior AI & Backend Developer at Reshut Tech and co-founder of Dataplicada. Former Data Science Specialist 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 GCP DevOps CI/CD Docker Kubernetes ETL AI/ML

Work Experience

Senior AI & Backend Developer
Reshut Tech
December 2024 - Present
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 - May 2024
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

Get In Touch