Experience

work

EZ Automation Systems LLC — Jacksonville, FL, USA

Computer Vision Engineer October 2024 – Present

Designing and deploying machine vision systems for real-time industrial inspection.
Developing multi-camera calibration and 3D reconstruction pipelines for robotic arm guidance, achieving sub-millimeter precision.
Building contact lens inspection systems to detect micro-defects, measure curvature, and verify optical alignment under FDA/ISO-compliant environments.
Integrating HALCON (v24.11) and Cognex VisionPro (v7.2) with custom C#/C++ wrappers for production-ready automation.
Implementing UV + visible dual-imaging systems for defect detection and material consistency verification across high-speed lines.
Collaborating with QA and hardware teams to optimize illumination, synchronization, and throughput efficiency for scalable inspection systems.

Computer Vision Systems Engineer
December 2023 – September 2024

Spearheaded several innovative AI-driven computer vision projects, focusing on autonomous vehicles and traffic management systems.
Engineered in-vehicle vision systems using CNN models alongside the BotSort algorithm. These systems enabled real-time detection and tracking of vehicles, pedestrians, and road signs, enhancing adaptive driving functions like cruise control and collision avoidance. Innovated methods for V2X message detection, pioneering a system that integrates vehicle communication with AI sensing.
Developed and expanded infrastructure-based AI sensing technologies with Vision2X stack, improving traffic flow monitoring by analyzing long-term patterns and road user behavior. The BotSort algorithm strengthened object tracking accuracy, transforming traffic management capabilities by revitalizing detection systems for road safety.
Initiated and executed a USDOT SBIR Phase 2 grant-funded project to innovate a Bridge Weight-In-Motion (BWIM) system for detecting overweight trucks. This involved calibrating camera projections and integrating real-time data from sensors and accelerometers, enhancing axle detection and vehicle classification accuracy.

Intern Deep Learning Researcher & Data Scientist
May 2023 – December 2023

Led data preparation efforts by organizing and systematizing large datasets from traffic cameras across multiple states. Trained deep learning models such as YoloV8 and EfficientDet to detect vehicles, axles, and license plates, improving model stability and detection accuracy.
Implemented AutoVision software into automotive systems, enabling real-time environmental perception and improving driving safety through high-precision detection of road users, traffic signs, and lane lines. The software’s performance was benchmarked against industry standards, demonstrating a competitive edge in autonomous driving technologies.

Graduate Teaching Assistant
August 2022 – May 2024

Provided pivotal administrative support to the Data Science faculty starting in Spring 2023, contributing to syllabus formulation, market analysis for prospective course development, and participation in the compilation of ABET accreditation materials.
Developed supportive materials for various Data Science courses, facilitating effective learning and motivating student success through innovative content design.
As a Teaching Assistant for Computational Data Analysis and Python courses in Spring 2022, I guided students through lab sessions, clarified complex concepts, and assisted with programming exercises, reinforcing their understanding of key topics.
In the Fall 2022 semester, I tutored students weekly for the Statics course, coaching them on challenging material and enabling them to improve their problem-solving skills.

Student Government Association - Audit and Budget Committee Chair/Graduate Representative
October 2022 - January 2024

Chaired the committee, overseeing financial audits, budgets, and proposals for student organizations.
Actively participated in student leadership forums and represented the graduate student community.

Intern Data Scientist
September 2021 – August 2022

Conducted data analysis, cleaning, and feature extraction using R Studio, and facilitated the integration of test results from users and medical doctors into appropriate lab formats, ensuring seamless data pre-processing.
Collaborated with cross-functional teams to implement data preprocessing workflows, performing data wrangling and visualization to enhance decision-making processes.

ieu
Intern Researcher
December 2020 – September 2021

Conducted research on 1U CubeSat systems, focusing on the design, development, and analysis of satellite components and dynamics.
Led the creation of CAD designs for the structural and mechanical systems of the CubeSat, ensuring compatibility with mission requirements and space environment constraints.
Investigated the dynamics and integration of CubeSat subsystems, including power, communication, and control systems, optimizing performance for space deployment.