Farzad Nekouei Email and Phone Number
As a passionate Computer Vision Engineer, my transformative journey has spanned digital electronics, data science, machine learning, and deep learning. My undergraduate foray into digital electronics, highlighted by a novel Lux Meter project, introduced me to the practical applications of machine learning.Exploring AI's potential in healthcare, I conducted groundbreaking research on cardiac arrhythmias and blood pressure prediction using ECG and PPG during my master's studies. These projects sharpened my ability to implement machine learning for health monitoring solutions.With a firm grounding in hardware and AI, I now specialize in computer vision, turning deep learning theories into real-world applications. My Kaggle achievements—including a highest rank of 13th out of over 61,000 participants as a Notebooks Grandmaster, with over 3,800 upvotes and 6,700 forks—reflect the community's endorsement of my work. Explore my Kaggle journey here: kaggle.com/farzadnekouei.At Hoopad Vision, as a Computer Vision Engineer (CVOps Specialist), I develop and deploy advanced computer vision algorithms for intelligent video surveillance systems. My expertise lies in engineering scalable and efficient pipelines using NVIDIA DeepStream and Triton Inference Server, optimizing performance without compromising accuracy. By designing lightweight models that maintain high precision, I bridge the gap between performance and scalability. Collaborating with AIoT analytics teams, I integrate solutions with smart home devices and enterprise systems, delivering comprehensive security platforms compatible with any CCTV camera.
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Head Of Ml DepartmentHoopadvision Sep 2024 - PresentIsfahan, Isfahan Province, Iran
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Computer Vision Engineer And Cv Operations EngineerHoopadvision Feb 2024 - Sep 2024Isfahan, Isfahan Province, IranAs a Computer Vision Engineer (CVOps Specialist) at Hoopad, I developed and deployed key modules of HBOX, Hoopad Vision’s intelligent video surveillance WebApp. I was instrumental in both the machine learning and operational aspects of three main modules:• HDetect: Developed an intrusion detection module that minimizes false alarms by accurately detecting human and vehicle movements.• HFire: Developed a fire and smoke detection module providing early warnings under various conditions.• HFace: Co-developed a real-time face detection and recognition module capable of handling multiple faces simultaneously with high accuracy.I engineered scalable and efficient pipelines using NVIDIA DeepStream and Triton Inference Server, optimizing performance and resource efficiency. By developing advanced algorithms, I bridged the gap between performance and scalability—maintaining accuracy with lightweight models to ensure reliable event detection. I collaborated with the AIoT analytics team to integrate our solutions with smart home devices and enterprise systems, delivering comprehensive security solutions compatible with any CCTV camera.
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Kaggle Notebook GrandmasterKaggle Oct 2023 - PresentRemoteAchieved a highest rank of 13th among over 325,000 participants on Kaggle. My notebooks received over 3,800 upvotes and were forked more than 6,800 times, reflecting strong community endorsement and practical utility of my contributions. -
Kaggle Notebook MasterKaggle Aug 2023 - Oct 2023Remote
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Kaggle Notebook ExpertKaggle Feb 2023 - Aug 2023Remote
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Computer Vision ResearcherPetro Pala Toos - Oil/Gas Innovation Center Sep 2023 - Feb 2024Tehran, Tehran Province, IranI specialized in applying computer vision techniques to oil and gas industry challenges. My role focusedon developing AI-driven solutions for operational efficiency. -
Machine Learning MentorInfinite Modern Technology Dec 2021 - Jun 2023As a Machine Learning Mentor at IMT Company, I led the instruction and development of 200 Junior Data Scientists in applying machine learning and deep learning algorithms to complex data challenges, enhancing their practical data science expertise. -
Research Assistant At Advanced Ic Design Laboratory (Aicdl)Electrical Engineering Department, Sharif University Of Technology Oct 2015 - Sep 2018Tehran, Tehran Province, IranEngaged in pioneering research on estimating health-related issues, including the occurrence of cardiac arrhythmias and blood pressure, utilizing vital human body signals such as ECG and PPG. My focus was on implementing these health monitoring solutions in hardware, employing machine learning algorithms for precise estimations. This innovative, AI-driven work was conducted under the supervision of Dr. Mahdi Shabany. -
Microprocessor Lab AssistantElectrical Engineering Department, Sharif University Of Technology Oct 2016 - Feb 2017Department Of Electrical Engineering, Sharif University Of TechnologyProviding tutoring to undergraduate students in the use of ARM microcontrollers, and Altera and Xilinx FPGA boards, under the supervision of Dr. Matin Hashemi.
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Research Assistant At Automated Software Engineering LaboratoryCe @ Sharif University Of Technology Oct 2015 - Oct 2017Tehran, Tehran Province, IranDesign and Implementation of a Prototype for Estimating Blood Pressure Using Machine Learning-Based Biomedical Signals. In this AI-driven project, I was responsible for the hardware design and implementation of a Smart Wrist Watch MVP, aimed at cuff-less blood pressure estimation. My role involved collaborative efforts with a team developing the machine learning algorithms integral for interpreting biomedical signals. Supervised by Dr. Mahdi Shabany, Dr. Matin Hashemi, and Dr. Abbas Heydarnoori. -
Logic System Design Teacher AssistantElectrical Engineering Department, Sharif University Of Technology Oct 2015 - Jan 2016Tehran, Tehran Province, IranServe as a Teacher Assistant for the Logic System Design course, under the supervision of Dr. Mahdi Shabany. My role includes conducting weekly classes to solve course assignments, facilitating student understanding of essential logic system design concepts, and providing support in course-related inquiries.
Farzad Nekouei Education Details
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Digital Electronics Engineering -
Electrical And Electronics Engineering -
Shahid Ejei(National Organization For Development Of Exceptional Talents)Mathematics And Physics
Frequently Asked Questions about Farzad Nekouei
What company does Farzad Nekouei work for?
Farzad Nekouei works for Hoopadvision
What is Farzad Nekouei's role at the current company?
Farzad Nekouei's current role is Head of ML Department at Hoopad Vision | DeepStream Expert | AI Researcher.
What schools did Farzad Nekouei attend?
Farzad Nekouei attended Sharif University Of Technology, Isfahan University Of Technology, Shahid Ejei(National Organization For Development Of Exceptional Talents).
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