Hi! My name is Abdias Tellez.

I pursued Computer Science and Engineering at UC Merced, graduating in December 2022. During my free time, I enjoy playing basketball (go Lakers!), hiking, running long distances, and engaging in various computer science projects. Here are highlights from my computer science experiences!


Associate Consultant @ Lumenci
starting February 2023
  • Managed a key client's code review project, achieving 100% of milestones, improving code integrity, and enhancing efficiency in the development process.
  • Conducted specialized technical analysis for patent infringement lawsuits, collaborating with expert witnesses to validate findings and enhance assessment credibility.
  • Optimized B2B client requirements, aligning technology development with intellectual property strategies for Fortune 50 Companies.
  • Led extensive technical research and code reviews on large repositories, informing strategic decisions and optimizations for software systems.
  • Applied industry-standard tools to reverse-engineer functionalities for wireless and medical devices, contributing to a deeper understanding of technology implementations and assisting clients in navigating technical challenges.
Research Assistant @ University of California
Sep. 2021 - Dec. 2022
  • Developed MATLAB algorithms for statistical analysis, resulting in a 15% improvement in sensing quality for IoT devices.
  • Applied information theory principles to achieve 97.6% sensor consistency in smart agricultural technology, enhancing data collection reliability.
  • Designed and implemented advanced algorithms using information theory metrics, reducing sensor measurement uncertainty by 22% in IoT applications.
  • Research Program: The Internet Of Things For Precision Agriculture (IoT4Ag), advised by Dr. Shijia Pan at the Pervasive Autonomous Networked Systems Lab.
Software Engineer Intern @ Sweep Inc
Jan. 2022 - May 2022
  • Led a team of software engineers to develop an optimized production scheduler, resulting in a 20% increase in production efficiency.
  • Implemented a scheduling algorithm that successfully reduced labor costs by 15% by considering various inputs from manufacturing sites, such as worker schedules, skills, and inventory.
  • Utilized data structures, such as Graphs and Trees, to efficiently represent input data and solution spaces, resulting in a 25% reduction in computational time during scheduling.
  • Managed project timelines, milestones, and deliverables, ensuring on-time project completion within scope and budget constraints.
Research Scientist @ OnRobot A/S
Feb. 2017 - Feb. 2021
  • Engineered and implemented Design of Experiments (DoE) for R&D manufacturing processes, resulting in 250% improvement in product performance, adhesion, and endurance.
  • Developed, documented, and instituted Standard Operating Procedures (SOPs) for manufacturing, testing, and new employee training, achieving a boost in product quality yield from 50% to 90%, while doubling the production rate.
  • Executed a comprehensive Freedom to Operate (FTO) investigation for electrostatic technology against existing patents, ensuring compliance and safeguarding intellectual property; concurrently, contributed technical expertise to collaborative research programs such as the NASA Gecko Gripper program (NASA-JPL SBIR Phase I & II) and NSF SBIR Phase IB.