About Haris

I’m a dedicated Software Engineer with a strong passion for Machine Learning, Data Science, and Full Stack Web Development. My career has been characterized by a commitment to continuous learning and adaptation to emerging technologies. I thrive in competitive environments and leverage innovation to enhance user experiences.

Educational Background:

  • BSc in Computer Engineering from National University of Computer and Emerging Sciences (NUCES-FAST)
  • Currently pursuing MSc in Data Science at the same institution

Professional Experience:

I am currently working as a mid-level Software Engineer at Marham, where I contribute to impactful projects and drive technology-driven solutions.

Professional Development:

I’m actively participating in the Headstarter.ai Fellowship Program, expanding my skills and knowledge in cutting-edge technologies and methodologies.

Areas of Expertise:

  • Machine Learning and Predictive Analytics
  • Full Stack Web Development (Frontend and Backend)
  • Data Science and Data Analysis
  • Cloud Computing and DevOps
  • Competitive Programming and Problem Solving

Career Highlights:

  • Led web projects that enhanced user experience by 20%
  • Collaborated with cybersecurity teams, improving strategy effectiveness by 15%
  • Implemented new features that boosted application efficiency by 25%
  • Developed machine learning models for predictive analytics, reducing error rates by 10%

Passion for AI:

As an AI Engineer, I’m inspired by the transformative potential of artificial intelligence. My goal is to harness AI to solve complex problems and create impactful solutions that can revolutionize industries and improve lives.

AI Resources & Inspirations:

  • Deep Learning with TensorFlow: Completed a comprehensive course by IBM, deepening my expertise in neural networks and advanced algorithms.
  • Google Cloud Big Data and Machine Learning Fundamentals: This certification has broadened my knowledge of cloud-based AI solutions and scalable data processing techniques.
  • MIT Machine Learning with Python: Gained in-depth insights into machine learning techniques and their practical applications.
  • AWS CDK: Exploring AWS CDK to efficiently define and manage cloud infrastructure as code, enhancing scalability and effectiveness in AI projects.

With a solid foundation in software engineering and a continuous drive to stay at the forefront of technology, I’m excited about the future of AI. By expanding my skills and applying innovative techniques, I strive to contribute to groundbreaking projects that push the boundaries of what’s possible with AI. Let’s connect on LinkedIn and X (formerly Twitter) to learn more about my journey and explore opportunities for collaboration.

Resume

What I use

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Experience

Software Engineer

2024 - Present / Marham
  • Designed and implemented software applications, improving performance and scalability by 30%, and enhancing user experience by 20%.
  • Collaborated with cross-functional teams to gather requirements and deliver solutions, resulting in a 25% reduction in project turnaround time and conducting code reviews to ensure adherence to standards.
  • Created and maintained comprehensive documentation for code and processes, optimized software reliability by 15%, and mentored junior developers, increasing team efficiency by 10%.

Education

Bachelor of Science in Electrical [Computer] Engineering

September 2019 - July 2023 / NATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES (FAST)

Master of Science in Data Sciences

September 2024 - Present / NATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES (FAST)