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I am a passionate computer engineer specializing in robotics and smart industries, currently pursuing my MS at the University of Verona. I enjoy applying deep learning techniques to solve real-world problems, particularly in computer vision and anomaly detection. My background includes electrical engineering with hands-on experience in system design, technical support, and renewable energy projects. Throughout my career, I've developed strong skills in programming, data analysis, and technical documentation. I thrive in collaborative environments and have a history of working closely with cross-functional teams across automation, quality, and electrical domains. I am eager to contribute my expertise and continue learning in advanced AI and smart industry applications.…I am a passionate computer engineer specializing in robotics and smart industries, currently pursuing my MS at the University of Verona. I enjoy applying deep learning techniques to solve real-world problems, particularly in computer vision and anomaly detection. My background includes electrical engineering with hands-on experience in system design, technical support, and renewable energy projects. Throughout my career, I've developed strong skills in programming, data analysis, and technical documentation. I thrive in collaborative environments and have a history of working closely with cross-functional teams across automation, quality, and electrical domains. I am eager to contribute my expertise and continue learning in advanced AI and smart industry applications.

Hassan Nasir

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I am a passionate computer engineer specializing in robotics and smart industries, currently pursuing my MS at the University of Verona. I enjoy applying deep learning techniques to solve real-world problems, particularly in computer vision and anomaly detection. My background includes electrical engineering with hands-on experience in system design, technical support, and renewable energy projects. Throughout my career, I've developed strong skills in programming, data analysis, and technical documentation. I thrive in collaborative environments and have a history of working closely with cross-functional teams across automation, quality, and electrical domains. I am eager to contribute my expertise and continue learning in advanced AI and smart industry applications.…I am a passionate computer engineer specializing in robotics and smart industries, currently pursuing my MS at the University of Verona. I enjoy applying deep learning techniques to solve real-world problems, particularly in computer vision and anomaly detection. My background includes electrical engineering with hands-on experience in system design, technical support, and renewable energy projects. Throughout my career, I've developed strong skills in programming, data analysis, and technical documentation. I thrive in collaborative environments and have a history of working closely with cross-functional teams across automation, quality, and electrical domains. I am eager to contribute my expertise and continue learning in advanced AI and smart industry applications.

Available to hire

I am a passionate computer engineer specializing in robotics and smart industries, currently pursuing my MS at the University of Verona. I enjoy applying deep learning techniques to solve real-world problems, particularly in computer vision and anomaly detection. My background includes electrical engineering with hands-on experience in system design, technical support, and renewable energy projects.

Throughout my career, I’ve developed strong skills in programming, data analysis, and technical documentation. I thrive in collaborative environments and have a history of working closely with cross-functional teams across automation, quality, and electrical domains. I am eager to contribute my expertise and continue learning in advanced AI and smart industry applications.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Italian

Beginner

Work Experience

Research Intern (Computer Vision & Anomaly Detection) at University of Verona

July 1, 2024 - August 26, 2025

Designed and implemented a real-time anomaly detection pipeline using deep learning and computer vision techniques. Trained MobileNetV2 and PatchCore models on categories from the MVTec anomaly detection dataset. Integrated models into an efficient inference pipeline and experimented with optimization frameworks such as PyTorch FP32, FP16, OpenVINO, and TensorRT. Prepared system checklists and technical documentation for installation, testing, and handover. Collaborated with automation, quality, and electrical departments during commissioning of new production cells.

Design & Technical Support Engineer at Transsion Tecno Electronics

September 1, 2022 - August 26, 2025

Analyzed industrial plant layouts and system schematics ensuring compliance with design and operational standards. Created and updated AutoCAD Electrical drawings, improving accuracy by 20% and reducing rework through version control. Supported data-driven decision-making preparing Bill of Materials and technical documentation for cross-departmental teams. Participated in site coordination and technical inspections verifying system connectivity before PLC programming. Collaborated with mechanical and automation teams to maintain system layout consistency and documentation.

Intern at PCSIR (Pakistan Council of Scientific and Industrial Research)

July 1, 2019 - August 26, 2025

Collected and structured technical data for renewable energy projects enabling accurate feasibility assessments. Developed electrical distribution and wiring diagrams supporting relay logic and PLC sensor inputs using AutoCAD. Contributed to site evaluation reports synthesizing observational data and infrastructure requirements. Supported preparation of technical documentation for integration of electrical and control systems in custom-built industrial setups.