Specializing in AI/ML solutions, data analysis, and quality assurance with a dedication to excellence and innovation.
I'm Md Sanjid Hossain, specializing in Data Science, AI/ML engineering, Data analysis and QA engineering, with approximately 1 year of professional & 3 years of research experience complemented by practical skills in Data Analysis and ML Engineering.
Recognized for unwavering work ethics, adeptness in meeting deadlines, and a steadfast commitment to continuous skill enhancement. Currently, expanding expertise into Software QA engineering to broaden contributions to the Software and Tech industry.
Md Sanjid Hossain
sanjidds99@gmail.com
Dhaka, Bangladesh
BSc in Computer Science & Engineering (CGPA: 3.41/4.00)
Achieved a Band 7 score in the International English Language Testing System
Participated in the Inter-university Programming Contest held in Dhaka region
Placed in top 20 on C Language-based Intra-university Programming Contest
Years of Research
Years of Professional Experience
Publications
A complete web application built with Flask that can recognize and classify foods, their origins and the restrictive ingredients. The application can use both image and text from user and generate the result using multiple layers of AI models.
A web application that can classify any form of news or article (complete or partial) from text (English) using ML model consisting of 18 categories.
A complete data analysis project that uses population, GDP, life expectancy and inflation rate data to determine the quality of life around the world & more detailed analysis on multiple continents.
Research on refining Bengali Hate Speech Detection using Multi-Label Classification with RNN and LSTM models. Published in ICACTCE'24 (Springer Lecture Notes in Networks and Systems).
Research on road condition detection using deep learning approach for accident prevention. Published in Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA), France (2023).
An AI-powered tool that can find and categorize memes from a collection of images using advanced computer vision and machine learning techniques.
An intelligent traffic management system using YOLO (You Only Look Once) object detection to monitor and optimize traffic flow in real-time.
A digital system for restaurants that replaces traditional waiter calling methods with a smart, efficient solution to improve customer service and staff efficiency.
A tool that uses AI to automatically extract database schemas and data structures from various document types, making database design and migration more efficient.
This project analyzed data of the top 1000 Computer Science researchers, highlighting countries with the most scientists, correlations with national rank, Asian universities with strong research, and a map of scholars in Latin America and Asia.
Custom machine learning and AI solutions tailored to your specific business needs, from concept to deployment.
Comprehensive data analysis services to help you understand your data and make data-driven decisions.
Efficient data collection and process automation to streamline your operations and gather valuable insights.
Comprehensive QA services to ensure your software meets the highest quality standards.
Cutting-edge AI research and development services to help you stay ahead of the competition.
Expert training and consultation services to help your team leverage the power of AI and machine learning.
ICACTCE'24 (Springer Lecture Notes in Networks and Systems LNNS) (Accepted & processing)
This research focuses on improving hate speech detection in Bengali language using advanced deep learning techniques like RNN and LSTM with multi-label classification approach.
Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA), France, 10/2023
This paper presents a deep learning approach for detecting road conditions and collecting crowdsourced data to prevent accidents. The system uses computer vision to identify hazardous road conditions.
2022 International Conference on Inventive Computing and Control Systems (ICICCS)
This research presents a machine learning approach to detect hate speech in Bengali language, addressing the challenges of linguistic nuances and context in hate speech detection.
Feel free to reach out to me for any inquiries, collaborations, or if you just want to say hello. I'm always open to new opportunities and interesting discussions.