About Hi, I'm MD Khaled Bin Joha
Passionate about Backend Engineer & Experinenced with Machine learning
Hello! I'm MD Khaled Bin Joha, a Computer Science and Engineering student at BAIUST, graduating in October 2026. Currently interning at Headstarter AI, I specialize in developing predictive models and data analysis. I'm passionate about leveraging technology to solve real-world problems and diving deep into machine learning and research. With a solid foundation in programming and hands-on experience, I'm eager to connect, collaborate, and innovate.
How I Got Here
My journey into the world of machine learning began with a spark of curiosity during my first semester of programming. With limited knowledge, I embarked on a path of continuous exploration and learning. Building a strong foundation in data structures and algorithms through my undergraduate studies propelled me further into the realm of machine learning. Fortunate to be selected for the AWS AI/ML Scholarship in 2023, I immersed myself in practical learning by undertaking a series of projects, the outcomes of which are showcased in my project section. This hands-on experience has been instrumental in solidifying my understanding of machine learning concepts and their real-world applications.
My Values & Beliefs
Consectetur
Initially a programming novice, my passion for problem-solving ignited a self-driven pursuit of knowledge. Starting from foundational programming concepts, I delved deeper into data structures and algorithms, laying a solid groundwork for my future endeavors. This curiosity led me to the captivating realm of machine learning, where I was fortunate to receive an AWS AI/ML scholarship in 2023. Through hands-on projects, showcased in my portfolio, I've cultivated a strong belief in the power of practical application and continuous learning.
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I am skilled in numerical methods, DSA and their applications in machine learning. I have experience with numerical optimization techniques, linear algebra, and statistical modeling. My research has focused on developing novel algorithms for feature engineering, model selection, and hyperparameter tuning.
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