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Explore my full stack developer detail page: https://tonmoytalukder.github.io/dev
"Programming isn't about what you know, it's about what you can figure out."
—Chris Pine, Learn to Program
Tonmoy Talukder (He/Him)
[tɒnˈmɔɪ təˈluːkdər]
Resume | LinkedIn | GitHub | Google Scholar
I pursued my Bachelor of Science degree in Computer Science and Engineering from Ahsanullah University of Science and Technology. At present, I am deeply involved in research on Machine Learning, advised by Mr. G. M. Shahariar Shibli. My aspiration is to specialize in research, aiming to work in renowned AI research institutions as a scientist. These days I am specifically dedicated to advancing NLP and Computer Vision solutions that intersect with human interaction.
Research. Broadly, my research explores how to enhance various aspects of Natural Language Processing, particularly in "low resource" languages like Bangla. Throughout my work, I thoroughly investigate the primary challenges faced by these languages, which mainly arise from constraints in data processing techniques. My constant devotion lies in the innovation of state-of-the-art solutions aimed at tackling these challenges head-on, thereby amplifying the data processing capabilities of "low resource" languages, particularly Bangla. Additionally, I think about how to integrate Computer Vision techniques with Natural Language Processing solutions for these resource-constrained languages. I am curious about the prospect of creating generative models that combine NLP and Computer Vision, driven by human interaction.
Collaboration. From a collaborative perspective, there are numerous opportunities to learn from others. As of now, I am actively engaged in research with my undergraduate advisor. Additionally, I have experience in collaborative research with various faculty members at my undergraduate institution, including Md. Tanvir Rouf Shawon.
I would greatly appreciate receiving an invitation for a research collaboration in the fields of Natural Language Generation, Computer Vision, and Human-Computer Interaction.
"Programming isn't about what you know, it's about what you can figure out."
—Chris Pine, Learn to Program
Developing Quest
Communicating with the data to contribute to the field of Data Science, Machine Learning, Deep learning and Artificial intelligence for mankind is my pre-eminent ambition.
I am also passionate about developing new Python tools/libraries, especially those related to Natural Language Processing, that can be utilized for any research or software development aspect.
Furthermore, Full Stack Development is my passion to explore my thinkings through codes, through programming with my expertise areas and also through exploring whats new to me.
PROJECTS
Machine Learning 👽
💻 [February, 2023] Bangla-KeywordExtractor
Description: BanglaBERT based keywords extractor of Bangla Sentences. This extractor works calculating cosine similarity of each word embedding with the mean embedding.
💻 [January, 2023] Bengali Hate Speech classification
Description: NLP classification with different machine learning algorithms with hyperparameter fine tuning, Ensemble approaches.
💻 [October, 2022] Diabetes Prediction Analysis
Description: Analysis on Pima Indian Diabetes dataset. Applied seven algorithms with hyperparameter fine tuning, Ensemble approaches.
Data Science 💹
💻 [October, 2021] Churning Telecom Company Prediction
Description: Applied One-hot Encoding, Decision Tree classification, Grid Search & Cross-Validation, Confusion Matrix, classification report, and ROC-AUC.
💻 [August, 2021] Test cricket analysis
Description: Explored joining, data aggregation, filtering using Pandas and Numpy.
💻 [July, 2021] Audi used car EDA
Description: An overview on a dataset of AUDI Cars. Analysis of the data set with comparing different columns with each other, using Histogram, Scatterplot, Distribution, ECDF, Barplot, Violin plot along with proper naming and plot analysis.
Software 🖥️
💻 [March, 2022] BookPedia Prototype - A Social Media (React + ASP.NET Framework Project)
Description: BookPedia is a social media for the literary and academia personals. In this platform everyone can upload book and blogs and give rating them. It's just a prototype version as a university software development lab project.
Frontend: JavaScript, React JS, Material UI
Backend: C#, ASP.NET Framework
Database: Entity Framework[Frontend GitHub Repository] [Backend GitHub Repository] [YouTube]
💻 [November, 2021] Niche Product MERN Stack Web Application: The Niketan
Description: Material UI based on this project’s key feature is Admin Panel with Admin Route. Admin can add more admin, can delete and add products, can delete or process bookings. Another feature is Dashboard which appears after login. For Admin and Users, there are different dashboards in the same route. From the dashboard, users can book products, user can modify bookings, and so on.
Frontend: React JS, React Router, Material UI, Firebase Authentication
Backend: Node JS, Express JS, JWT Token
Database: MongoDB
💻 [November, 2021] MERN Stack Tourism Web Application: The Wayfarers
Description: Bootstrap-based this Project’s Key feature is Admin Dashboard. Admin can add products, and modify users’ booking. Another feature is, users can book products from the booking page and can modify from my booking and Offcanvas page, and the result would happen in real-time from the database.
Frontend: React JS, React Router, Bootstrap, Firebase Authentication
Backend: Node JS, Express JS
Database: MongoDB
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This site has been developed by myself using NEXT.JS.