Chuti Resort Ltd.

Sept. 2025 – Present

Executive Web Developer

• Managed end-to-end development, maintenance, and deployment of all Chuti Group websites, ensuring seamless performance and uptime.
• Built and enhanced web applications using React.js, JavaScript, Tailwind CSS, HTML, and CSS, delivering responsive and user-friendly interfaces.
• Streamlined version control and deployment processes with Git and server management, improving workflow efficiency and reliability.

IoT eXperience, LLC

May 2025 – Present

Software Engineer

• Built a full-stack IoT dashboard with React, Flask, and SQLite for real-time data visualization and device management.
• Engineered dynamic charts with Chart.js and optimized backend performance using SQLAlchemy.
• Strengthened system stability through rigorous testing and debugging.

Varygen Corp Limited

Oct. 2023 – Apr. 2024

Software Engineer

• Collaborated with a dynamic development team to execute software development, testing, and documentation tasks.
• Enhanced code quality through systematic testing and debugging.
• Contributed to innovative projects by assisting in the design and implementation of robust, real-world applications.

Apurba-DIU Research and Development Lab

Oct. 2021 – Oct. 2024

Research Assistant

• Spearheaded literature reviews, data collection, and algorithm development, driving successful model implementation, fine-tuning, and experimentation.
• Developed image-to-text information retrieval using LLMs and image segmentation projects leveraging SSM-based models.
• Co-authored and submitted a research paper to an ACM journal and conducted software testing and model validation to ensure robust AI performance.

Independent University, Bangladesh

Jan. 2021 – Jan. 2022

Teaching Assistant

• Evaluated class projects and assisted in lab sessions for the Data Structures course, providing personalized guidance to enhance students’ problem-solving skills.
• Managed grading, student records, and additional support sessions, fostering academic excellence and strong course performance.

B.Sc Engineering(CSE)

January 2019 - May 2024

Relevant Coursework

• Data Structures & Algorithms
• Database Management Systems
• Web Application & Internet
• System Analysis and Design
• Operating Systems
• Android App Development
• Artificial Intelligence
• Image Processing

BAAD: A multipurpose dataset for automatic Bangla offensive speech recognition.

DIU NLP LAB

June 2021 - October 2022

• Abstract

  In spite of being the fifth most spoken native language in the world, Bangla has barely received any attention in the domain of audio and speech recognition. This article represents a speech dataset of Bengali Abusive Words with some non-abusive wors which are very close to the abusive ones. In this work, a multipurpose dataset is presented to recognize automatic slang speech for Bangla language, which was prepared by collection, annotation, and refinement of data. It consists of 114 slang words and 43 non-slang words with 6100 audio clips. For the collection of slang words, 60 native speakers and for non-abusive words, 23 native speakers participated who were, speaking in various dialects from over 20 districts of Bangladesh, and 10 university students participated to evaluate this dataset including annotation and refinements. Researchers can use this dataset to develop an automatic Bengali Slang speech recognition system, and also it can be used as a new benchmark for creating speech recognition-based machine learning models. This dataset can be enrich-ed further, and some background noise in the dataset can be used to simulate a more real-world scenario if desired. Otherwise, these noises could also be removed.

IoT Based Fruit Quality Inspection and Lifespan Detection System

Independent University, Bangladesh

January 2023 - August 2023

• Abstract

  Fruits are an essential source of nutrients, but their quality depends heavily on their freshness and shelf life, which can be impacted by various external factors. This paper presents a comprehensive study on the decay of fruits and the development of a lifespan detection system that integrates a Raspberry Pi Pico, a DHT-11 sensor for capturing real-time temperature and humidity of fruits, and an MQ-4 methane gas detector sensor to estimate methane gas emissions from spoiled fruits. Then data storage and Machine Learning (ML) algorithms are used to accurately predict the expiration date of fruits. The proposed system focuses on measuring some crucial elements that essentially identify the spoilage state of fruit and are transmitted to a local database using a NodeMCU ESP8266. The collected data is then used to predict the expiration date of the fruit using a suggested equation with high accuracy and reliability. By accumulating necessary information about the temperature, humidity, and methane emission of fruit, this paper illustrates a graphical representation of real-time data with an approximate lifespan of the fruit. The system is cost- effective, user-friendly, and useful in warehouses, cold storage, and food quality inspection sectors. With further research and development, the proposed system can be extended to detect the lifespan and expiration of other perishable items, thus providing a comprehensive solution for food preservation and safety.

Connecting Patients with Healthcare Providers: A Web-Based eHealth Platform.

Independent University, Bangladesh

October 2023 - September 2024

• Abstract

  This comprehensive paper delves into the profound impact wielded by a meticulously crafted web application tailored to amplify connectivity between patients and healthcare providers. Within the ambit of this project, a concerted focus was directed towards scrutinizing user experiences, evaluating system functionalities, and discerning practical implications. The overarching goal of this study revolves around appraising the strides made in healthcare accessibility and fostering patient engagement through the adept utilization of digital platforms. A pivotal facet of this investigation lies in meticulously dissecting key elements such as navigation, security protocols, and seamless integration of tele-medicine functionalities. By meticulously examining these components, this study endeavors to unearth actionable insights that can inform and guide the realms of user-centric design and the seamless integration of digital solutions within the healthcare landscape. The empirical findings gleaned from this study bear testament to the transformative potential harbored within user-centric design principles and the judicious implementation of digital tools within healthcare settings. By meticulously dissecting user experiences and system functionalities, this study stands poised to contribute significantly towards bolstering healthcare accessibility and engendering heightened levels of patient engagement.