Computer Science & Eng Undergrad @BAIUST | SWE Fellow @Headstarter AI
With a solid foundation in Computer Science and Engineering, I specialize in developing innovative AI solutions and data-driven applications that transform ideas into impactful results. My expertise spans across modern machine learning techniques, data structures, and algorithms, ensuring that every project I undertake is built on a strong technical foundation.
From creating jupyter notebooks with datasets for gaining insights, I am dedicated to solving complex problems with creativity and precision. Whether it's developing predictive models for healthcare or contributing to open-source communities, I approach each challenge with a focus on excellence and continuous learning.
Let’s collaborate to turn your vision into reality, leveraging the power of technology to create solutions that make a difference.
My key areas of expertise.
Though I am a sophomore undergrad student, I've done some stuffs during my course works and extra courses. I've done some stuffs with ML & DL algorithms, used Python Flask for doing backend development.
Machine Learning
I possess a strong foundation in machine learning, with experience in developing predictive models and data analysis. My projects showcase my ability to tackle real-world problems using techniques like Logistic Regression, Random Forest Classification, and deep learning models for image classification. I'm passionate about leveraging machine learning to make a positive impact and continuously seek opportunities to learn and expand my knowledge in this field.
Web Development
I have a solid foundation in web development using Flask, demonstrated by my experience building BloodLink-BAIUST. I effectively utilized Flask's extensions for user authentication, email management, database interactions, and form handling. My proficiency in these technologies enabled me to create a functional and user-friendly platform that addresses a real-world need within the BAIUST community.
Blog Writing
I specialize in simplifying complex concepts in Numerical Methods, Data Structures and Algorithms, and Machine Learning. Through my blog posts, I break down intricate topics into understandable explanations, providing practical examples and code implementations. My goal is to empower readers with the knowledge to tackle real-world challenges and build a strong foundation in these critical areas of computer science.
Get started with a conversation today.
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.
Let's Work TogetherLatest articles from my blog.
Complexity of Algorithm - Asymptotic Notations
In our last post, we introduced algorithms. Now, let's measure their performance. Time and space complexity are key. We explore how to analyze these factors using worst, average, and best-case scenarios. Linear search is our example. To generalize analysis, we use asymptotic notations like Big O, Omega, and Theta. Stay tuned for deeper dives into algorithm analysis.
Numerical methods Analysis
Delve into the world of Numerical Methods with our in-depth blog posts. Discover how to tackle complex problems using efficient computational techniques. From root-finding algorithms to numerical integration, we break down complex concepts into easy-to-understand explanations.