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Arshad Lohoni

@arshadlohoni

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I build real-time AI, computer vision, and biometric recognition systems.

Iran

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At the National Smart Card Organization, I lead R&D for nationwide automated biometric identification systems, improving face and fingerprint recognition, benchmarking engines, and strengthening biometric registration quality.

I've delivered commercial computer vision software for object detection, tracking, re-identification, traffic analysis, medical imaging, and real-time multi-camera systems using 2D/3D cameras, IR sensors, GPS, and GPU acceleration.

I build across desktop, web, embedded, and cloud environments with Qt/C++, Python, OpenCV, CUDA, deep learning, Azure AI, OpenAI APIs, RAG, and LangChain. My work spans 19+ years of end-to-end software delivery, from requirements and design to implementation and maintenance.

Experience

Work history, roles, and key accomplishments

Current

Biometric Systems Expert

Current

National Smart Card Organization (NCR)

Sep 2016 - Present (10 years)

Led R&D for the Automated Biometric Identification System (ABIS) to improve face and fingerprint recognition systems. Benchmarked engines with NIST/local datasets and streamlined biometric registration.

Biometrics Face Recognition Fingerprints ABIS NIST R&D Data Processing

Current

Computer Vision Engineer

Current

Freelance

Jan 2010 - Present (16 years 8 months)

Delivered commercial computer vision software including object detection, tracking, re-ID, and traffic analysis. Built real-time multi-camera and face recognition systems with 2D/3D cameras, IR sensors, and GPS.

Computer Vision Object Detection Trackings ReID Traffic Analysis Face Recognition Multi Camera 2D 3D Cameras IR Sensors GPS

C++ Developer

AiimSense

May 2024 - Nov 2024 (6 months)

Built Qt/C++ Linux software for medical imaging, integrating with hardware sensors. Enhanced imaging accuracy and system efficiency through optimized implementation.

C++Qt Framework Linux Medical Imaging Hardware Integration Optimization

Computer Vision Engineer

Ariosoren EST

Feb 2021 - Sep 2022 (1 year 7 months)

Enhanced CV software for a virtual targeting system, improving accuracy and usability.

Computer Vision Virtual Targeting Software Enhancement

C++ Developer

HSI Lighting

Mar 2019 - Jul 2019 (4 months)

Developed Qt/C++ DMX lighting control software for LED systems, achieving seamless hardware/software integration.

C++Qt Framework DMX LED Lighting Hardware Integration

Computer Vision Engineer

Did Electronic Mobin

Jun 2017 - Dec 2017 (6 months)

Built GPU-CUDA multi-threaded object recognition system. Optimized performance with parallel processing techniques.

Computer Vision GPU CUDA Multithreading Object Recognition Parallel Processing

Software Developer

Freelance

Jan 2005 - Jan 2013 (8 years)

Delivered desktop, web, and mobile applications including system analysis, design, implementation, and maintenance. Collaborated with clients to define requirements and deliver high-quality solutions.

Desktop Applications Web Applications Mobile Apps System Analysis Design Implementation Maintenance Client Collaboration

Education

Degrees, certifications, and relevant coursework

Coursera

Introduction to Concurrent Programming with GPUs, Computer Science

2023 - 2023

Completed the Introduction to Concurrent Programming with GPUs certification in February 2023.

Coursera

Neural Networks and Deep Learning, Artificial Intelligence

2023 - 2023

Completed the Neural Networks and Deep Learning certification in March 2023.

Sololearn

C++ Intermediate, Computer Science

2023 - 2023

Completed the C++ Intermediate certification in March 2023.

National Crime Records Bureau

Fingerprint Science & IT, Forensic Science

2018 - 2018

Completed the Fingerprint Science & IT certification in February 2018.

Payame Noor University

Master of Science, Software Engineering

2009 - 2012

Grade: 15.98

Earned a Master of Science in Software Engineering with a GPA of 15.98. Thesis focused on a road sign recognition system using passing line intersection.