PROFILE DETAILS
golam.mahmood@cuet.ac.bd
My name is Golam Mahmood, and I graduated from Chittagong University of Engineering and Technology (CUET) with a degree in Computer Science and Engineering (CSE). I have a strong passion for web and mobile development, and I'm driven by the desire to contribute to the growth of the digital landscape in Bangladesh.
During my time at CUET, I gained a solid foundation in computer science principles, programming languages, and software development methodologies. I honed my skills by actively participating in various web development projects, both as a part of my coursework and through independent initiatives.
I have experience in developing web applications, and I had the opportunity to work on multiple projects for IFIC Bank, where I gained valuable insights into the banking industry and its unique technological requirements. Additionally, I have also developed and published two Android applications on Google Play, which allowed me to delve into the world of mobile app development.
Looking ahead, I am motivated to contribute to the vision of a digital Bangladesh. I firmly believe in the transformative power of technology in improving lives and empowering individuals. I am eager to leverage my skills and expertise in web and mobile development to create innovative solutions that address the specific needs of our country, whether it's in sectors like finance, education, healthcare, or e-commerce.
I am constantly learning and staying updated with the latest trends and advancements in the field. I believe in the importance of collaboration and teamwork, and I look forward to working with passionate individuals who share a common goal of making a positive impact through technology.
Overall, my educational background, practical experience, and my drive to contribute to the digital transformation of Bangladesh make me a dedicated and enthusiastic professional in the field of web and mobile development.Recommendation Systems: Building intelligent recommendation systems that provide personalized suggestions to users based on their preferences, behavior, and historical data. This could involve utilizing machine learning algorithms like collaborative filtering, content-based filtering, or deep learning techniques.
Natural Language Processing (NLP) and Chatbots: Developing web or mobile applications that can understand and generate human-like language. You can explore NLP techniques such as sentiment analysis, text classification, language translation, and chatbot development using machine learning algorithms or pre-trained models like Transformers.
Computer Vision: Integrating computer vision capabilities into web or mobile applications. This could involve tasks like object detection, image classification, facial recognition, or even augmented reality (AR) applications. You can utilize popular deep learning frameworks such as TensorFlow or PyTorch to train and deploy models.
Predictive Analytics: Applying machine learning algorithms to analyze historical data and make predictions or forecasts. This can be useful in areas such as sales forecasting, demand prediction, or personalized marketing campaigns, enabling web/mobile applications to provide valuable insights to users.
Deep Learning for Web/Mobile Applications: Exploring deep learning architectures and techniques specifically designed for deployment in web and mobile environments. This includes optimizing models for efficiency, speed, and memory usage to ensure smooth integration into resource-constrained platforms.
Reinforcement Learning for Game Development: Combining machine learning with game development to create intelligent agents that can learn and improve their gameplay through reinforcement learning algorithms. You can develop web or mobile games where the AI adapts and becomes more challenging as the player progresses.
BSc in CSE (CUET)
Pursuing MSc in CSE (CUET)
Former Application Architect & Developer (Principal Officer), IFIC Bank PLC
Former Senior Lecturer (ICT), Narsingdi Public College
Former Junior Software Engineer, Ponno.co
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