I’m a Computer Vision Engineer specializing in building intelligent systems that analyze visual data. I hold a Master’s degree in Computer Science from the University of California, Santa Barbara, where I researched multi-camera tracking and activity recognition. My work focuses on applying machine learning to real-world problems such as surveillance, autonomous systems, medical imaging, and 3D scene understanding, with an emphasis on turning research into reliable AI solutions.
Kimia Afshari
ML Engineer
Software Engineer
Visual Perception
Kimia Afshari
ML Engineer
Software Engineer
Visual Perception
About Me
- Location: California, USA
- Languages: English, Persian
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Skills:
PyTorchCUDAC++PythonGitTensorflowDockerNumPyOpenCVLinux
Areas of Expertise
Computer Vision Solutions
Design and development of intelligent vision systems for tasks such as detection, tracking, segmentation, and scene understanding in images and videos.
AI & Machine Learning Development
Building and optimizing machine learning models to solve real-world problems using modern AI techniques and scalable data-driven approaches.
Visual Data Analysis
Processing and analyzing large-scale image and video datasets to extract meaningful insights and enable automated decision-making.
Research & Prototype Development
Transforming cutting-edge research ideas into practical prototypes and AI systems ready for real-world experimentation and deployment.
Affiliations
Testimonials
Mohammad Jalili
AI Software Engineer
Kimia is an exceptional senior engineer with deep expertise in machine vision and machine learning.
Ethan Carter
Project Manager
Kimia is a talented ML Engineer with strong expertise in AI and machine vision areas.
Helen Anderson
CEO
Kimia is a dedicated machine vision engineer with a sharp analytical mindset and a talent for problem-solving.
Fun Facts
10+ Programming Languages
7+ Professional Certifications
100+ Tennis Sets
Hiking Enthusiast
Resume
Experience
2025 - Present
ML Vision Engineer
Teledyne FLIR Co.
applied the engineering design process to design, develop, test, maintain, and evaluate software.
2024 - 2024
Computer Vision / Software Engineer
Mayachitra Inc.
Collaborated with functional teams of data scientists, user researchers, product managers.
2023 - 2024
Computer Vision Engineer
Vision Research Lab (VRL)
Designed, created, tested, programmed and updated apps for a mobile device.
2023 - 2023
Computer Vision / Software Engineer Intern
Vision Research Lab (VRL)
Designed, created, tested, programmed and updated apps for a mobile device.
2019 - 2022
Software Engineer
MVMIP Lab K. N. Toosi University of Technology
Designed, created, tested, programmed and updated apps for a mobile device.
Education
2022 - 2024
M.Sc. in Computer Science
Santa Barbara
University of California, Santa Barbara (UCSB)
2016 - 2020
B.Sc. in Computer Engineering
Tehran
K. N. Toosi University of Technology (KNTU)
Programming Skills
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Python95%
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C++95%
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Bash90%
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Java95%
Tool Stack
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PyTorch90%
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OpenCV90%
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Docker90%
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GitLab95%
General Skills
Vision
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Multi-Camera Object Re-identification95%
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Vision-Language Foundation Models95%
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3D-Scene Reconstruction95%
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Interactive Volumetric Segmentation95%
Languages
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English100%
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Persian100%
Platforms
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Jupyter Notebook100%
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Google Colab100%
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Linux95%
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Docker90%
Knowledge
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Computer vision and visual perception systems
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Machine learning and deep learning
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Image and video processing
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Multi-object tracking and recognition
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Multi-modal AI and vision-language models
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Linux and Windows management
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Generative AI and diffusion models
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Parallel and distributed model training
Featured Projects
Spatial Video Grounding via Graph Transformers
Video Understanding
AR Location-Based Parking Navigation System
Applied AI
Blog
March 17, 2026
Instruct2Dream: Why Your AI Needs to Know You Personally
Generative AI has conquered the “average” image, but the new frontier is Personalization. Standard models like Stable Diffusion are great at creating a…
December 17, 2025
Beyond Pixels: The Rise of Neural Radiance Fields and 3D Gaussian Splatting
The world of 3D scene reconstruction is moving faster than ever. We are shifting from traditional point clouds to neural representations…
July 2, 2025
Seamless Identities: Solving the Multi-Camera Tracking Puzzle
In a bustling city, keeping track of a single “identity” across hundreds of cameras is a massive technical challenge. Traditional…
Get in Touch
- Address: California, USA
- Email: contact@kimiaafshari.com
- On-site Available
- Remote Available
Contact Form