Committed and detail-oriented engineer eager to work with the latest technologies, especially in collaborating and developing world-changing solutions to modern problems. Passionate about data analysis using cutting-edge machine learning algorithms and artificial intelligence.
Python
SQL
C++
C#
HTML
CSS
Individual Management
Effective Communication Skills
Teamwork & Collaboration
Critical Thinking & Problem Solving
Time Management
Creativity
Attention to detail
Adaptability/Flexibility
Shaahed Seyyed Ahmad Khomeini
Zand Institute of Higher Education
Engaged in a comprehensive self-study journey in machine learning and AI through platforms such as Coursera and YouTube, continuously expanding knowledge in the field.
Currently studying and researching key concepts including supervised and unsupervised learning, neural networks, and deep learning, and working towards completing these courses.
In the process of learning and gradually applying key tools and technologies such as Python, NumPy, Pandas, TensorFlow, and scikit-learn in various machine learning projects.
Currently working on personal projects related to predictive modeling and data analysis using real-world datasets, while continuously enhancing technical skills.
Looking ahead, focusing on mastering computer vision and advanced neural networks to apply these skills in solving complex, real-world problems in AI.
Zand Institute of Higher Education
Provided technical support for university systems and maintained network infrastructure.
Conducted regular reviews and maintenance of computer labs, resolving hardware and software issues.
Collaborated with university staff to ensure seamless operation of IT services.
Zand Institute of Higher Education
Completed a 120-hour internship, assisting the network team in maintaining and troubleshooting the university's network infrastructure.
Configured and monitored network devices to ensure optimal performance and security.
Gained hands-on experience in networking protocols, hardware installation, and system optimization.
Zand Institute of Higher Education
Supervised faculty assets and assisted in classroom scheduling for students.
Designed and prepared class schedules while ensuring the smooth execution of classes and student activities.
Engaged with faculty members to facilitate class planning and student coordination.
Provided guidance to students on various matters and supported collaboration between the engineering faculty and students.
Oversaw the management and transfer of faculty assets.
Contributed to building maintenance and campus facility management.
Assisted in organizing university meetings and events.
Zand Institute of Higher Education
Assisted students with course selection and resolving related issues.
Supported the education department by managing student records and enrollment processes.
Communicated with students and staff to address academic inquiries and provide guidance.
Zand Institute of Higher Education
Zand Institute of Higher Education
Zand Institute of Higher Education
"Artificial Intelligence, Ph.D."
"Computer Engineering, Software Ph.D."
"Electronic, Ph.D.
Dean of Electronic and
Computer Science Faculty"
I am particularly interested in machine learning, deep learning, and their applications in neural networks and computer vision. My focus is on improving learning models and applying them to solve complex real-world problems.
One of the significant projects I worked on involved developing a facial recognition system using deep learning techniques. This project required integrating my knowledge of computer engineering with advanced AI methodologies to create a robust and efficient model for real-time face detection and recognition.
My background in software engineering provides a strong foundation in programming, system design, and problem-solving, which are crucial for developing and implementing AI models. This allows me to efficiently translate theoretical AI concepts into practical applications and optimize their performance.
After completing my master’s degree, I aim to work in a research and development role within the AI industry, focusing on innovative projects that leverage AI to solve challenging problems. I am particularly interested in contributing to advancements in machine learning and its applications in industries like healthcare, finance, and technology.
For academic or professional inquiries, please use the communication methods provided on this site or visit the "Contact Me" section. I am open to discussing potential collaborations or opportunities in AI and software engineering.