Daan I Leiva

Software Engineer / ML Engineer

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9+ years of experience in software engineering and full stack development including managing other developers, communicating with customers, and releasing multiple in-house software tools critical to manufacturing operations.

Contact

Phone: 213-408-1597

Email: daan.leiva@gmail.com

Location: Van Nuys, CA 91607

LinkedIn: linkedin.com/in/daan-leiva

Education

UCLA (2018)
MSc in Computer Science
Emphasis in AI, ML, Bioinformatics

CSU Long Beach (2016)
BSc in Physics & Computer Science
Minor in Applied Mathematics

Expertise

  • Python, C++, Kotlin, Java, VB.NET, JavaScript, C#, T-SQL
  • TensorFlow, PyTorch, Pandas, NumPy
  • Google Cloud, Docker, Kubernetes
  • OpenCV

Languages

  • English
  • Spanish (Fluent)
  • Portuguese (Conversational)

Experience

Absolute Technologies, Anaheim, CA
Software Engineer (Jun 2014–Present)

  • Lead software development pipeline and manage dev team
  • Develop scheduling and projection tools for manufacturing
  • Automated error analysis tools for internal database
  • Tech stack: TSQL, Python, Qt

Long Beach Water Department, Long Beach, CA
ML/Software Engineer (Oct 2015–2016)

  • Built CNN in C++ (FANN) to detect pipeline structural damage from robot camera footage
  • Used OpenCV for preprocessing and built a labeled dataset
  • Aimed to reduce pipeline inspection time from 10 years to ~1

Nano Optics Research Lab, CSULB
Research Assistant (Winter 2011–Spring 2014)

  • Conducted near-field optical experiments with nano-antennas
  • Published in PCCP: “Near-field spatial mapping of strongly interacting multiple plasmonic infrared antennas”

Certifications

  • Machine Learning Engineering for Production (MLOps) – Aug 2023
  • TensorFlow: Advanced Techniques – Aug 2020
  • TensorFlow 2: Deep Learning – Jun 2023
  • First Principles of Computer Vision – Apr 2023
  • Machine Learning Specialization – Mar 2023
  • DeepLearning.AI TensorFlow Developer – Feb 2023
  • Deep Learning Specialization – Nov 2020

Visual Resume

Resume