Lazar Trifunovic

Work Experience

Camio Remote

Solutions Architect Solutions Architect Aug 2024 – Present

Senior CSE Sr. CSE Aug 2023 – Aug 2024

Customer Success Engineer CSE Mar 2022 – Aug 2023

Accelerated market expansion by leveraging Camio's API to enable seamless integration with partner platforms and deliver compelling POC and POV demonstrations in emerging markets.
Cultivated strategic partnerships with V-level and C-level executives, driving $3M+ in renewals and expansions and significantly boosting ARR and NRR for key accounts.
Accelerated growth by developing Camio's Certified Partnership program, empowering integrators with self-service resources to streamline training, deployment, and adoption of Camio's platform.
Onboarded and empowered 100+ integrator partners, facilitating the deployment of over 500 systems.

Boulder Imaging Remote

Field Application Engineer FAE May 2019 – Mar 2022

Developed, installed, and maintained a fleet of systems utilizing neural networks, machine learning, and high-precision optics which reduced endangered species turbine strikes by 85%+ at wind farms internationally.
Developed, installed, and integrated the first and only CDI2 banknote sensor and sorting machine for the Federal Reserve.
Led and trained a team of field application engineers and technicians, scaling operations from 40 to over 100 systems.

Rimkus Consulting Group Denver, CO

Associate Engineer Intern May 2018 – Aug 2018

Conducted engineering analysis on insurance claims for modes of failure on $2,000,000+ of damages

East China Normal University Shanghai, China

Undergraduate Researcher Researcher May 2017 – Aug 2017

Leveraged ML techniques and extensive dataset analysis to predict algae blooms with 95% accuracy.
Wrote and presented a comparative research paper examining eutrophication and possible solutions to reduce the presence of blue-green algae by 70% or more for Lake Tai and Lake Erie.

CORE Lab Charlotte, NC

Undergraduate Researcher Researcher Jun 2016 – Aug 2016

Developed innovative optimization strategies that integrated ML regression techniques with water channel experiments and numerical modeling tools. This approach accelerated design convergence and significantly reduced prototyping costs, achieving a cost reduction of over 90%.

Charlotte Center City Partners Charlotte, NC

Intern Intern May 2016 – Jun 2016

Contributed to the development of a 10-year infrastructure plan for the city of Charlotte by utilizing machine learning regression techniques to analyze traffic patterns and identify potential solutions.

Sustainability Executive Committee

Member Member Aug 2017 – May 2019

Nominated by the Campus Sustainability Officer to the committee and approved by the Chancellor.
Served to improve campus sustainability and reduce carbon footprint by applying zero waste, responsible purchasing, and transportation planning initiatives where possible.

Levine Scholarship

Scholarship Recipient Recipient Aug 2015 – May 2019

UNC Charlotte’s most prestigious merit- based scholarship program that promotes academic excellence, ethical leadership, and commitment to community service.