As a dedicated Computer Vision Engineer with over six years of software engineering experience, I bring a profound expertise in developing innovative solutions for complex challenges in the computer vision field. My journey has equipped me with a solid foundation in machine learning, deep learning frameworks like PyTorch and TensorFlow, and a specialisation in computer vision libraries such as OpenCV. My software engineering background, with extensive experience in Ruby on Rails and PostgreSQL, complements my ability to design, optimise, and implement scalable web applications and data-driven solutions. I am passionate about driving technological advancements that solve real-world problems. My commitment to the field is also evidenced by my contributions to peer-reviewed journals, highlighting my research on automated damage detection and missing bolt classification. Eager to apply my comprehensive skills in a dynamic environment, I aim to contribute to cutting-edge computer vision projects in the UK, leveraging my blend of technical expertise, leadership abilities, and a proactive problem-solving approach.

• Master of Science in Artificial Intelligence - University of Huddersfield, UK (2022 - 2023)
  • Awarded Distinction for thesis on "Damaged Pallet Racking Classification Using Attention CNN", contributing to a 15% improvement in detection accuracy over existing methods.
• Bachelor of Science in Computer Engineering - BRAC University, Bangladesh (2013 - 2017)
  • Awarded Dean's List; Received Vice Chancellor Award for thesis project on "Handwritten Digit Recognition Using Convolutional Neural Networks", achieving a 98% accuracy rate.

• Computer Vision Engineer - University Of Huddersfield (2023 - Present)

  • Spearheaded the development and implementation of a deep learning model for object recognition and tracking in rail engines, achieving a 13% improvement in accuracy, elevating model performance from 80% to 93%.
  • Engineered and maintained advanced software for image analysis and detection of pallet racking, enhancing image-based task efficiency by 5%, resulting in a rise from 92% to 97% efficiency.

• Principal Software Engineer - Welltravel, United Kingdom (Remote, Part-time) (2022 - 2023)

  • Orchestrated the design and implementation of web applications built with Ruby on Rails, significantly improving application performance by 40% through optimization of Ruby on Rails codebase, PostgreSQL queries, and caching mechanisms, thereby reducing latency and increasing support for 3x more concurrent users.

• Chief Technology Officer - Welltravel, Bangladesh (2020 - 2022)

  • Directed a comprehensive technology roadmap, leading planning and execution across 3 teams with 20 members each to align technology initiatives with business goals, contributing to the strategic advancement of the company's software solutions.

• Software Engineer - [Welltravel] (2017 - 2020)

  • Worked on various Ruby on Rails projects, contributing to both frontend and backend
  • Participated in code reviews, ensuring adherence to best practices and coding standards

• Languages: Ruby, Python, JavaScript, HTML, CSS
• Frameworks: Ruby on Rails, TensorFlow, Keras, PyTorch
• Tools: Git, Docker, AWS, Heroku, PostgreSQL, MySQL

• Published Research Paper:
  • "Isolated Bangla handwritten character recognition with convolutional neural network" - DemonstratesmyexpertiseinleveragingCNNsforrecognising handwritten Bangla characters, contributing significantly to automated document processing and linguistic studies. IEEE Link
  • **Boltvision: A Comparative Analysis of CNN, CCT, and ViT in Achieving High Accuracy for Missing Bolt Classification in Train Components"_ - Thispublicationpresentsagroundbreakingcomparativestudyhighlighting my development of a model that accurately identifies missing bolts in train components, a critical aspect of railway safety. MDPI Link

With my background in software engineering and my growing expertise in artificial intelligence, my goal is to establish a career in the UK, focusing on computer vision and CNN. I am excited to apply my skills and knowledge to contribute meaningfully to the field of AI and develop innovative solutions to real-world problems.

Feel free to connect with me on LinkedIn or Twitter. I'm always open to discussing new opportunities, collaborating on projects, or just chatting about AI and technology!