Abir Abdullha
Welcome
Hello!! This is Abir Abdullha. I have a couple of years of experience in data science, machine learning, deep learning and project management. I am hard-working, professional, and highly motivated. Always excited for more experience and knowledge. Feel free to explore my portfolio and get in touch to discuss how we can work together!
Technical Skills: Machine Learning, Data Science, Researcher, Data Visualization Tool, Deep Learning, Client Management, Python, Business Analyst, DBMS, E-commerce, Project Management
Education
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B.Sc., CSE Daffodil International University 3.03 (2020) -
H.S.C, Science BAF Shaheen College, Dhaka 4.50 (2015) -
S.S.C, Science Mirpur Bangla High School And College 4.56 (2013)
Work Experience
Senior Software Engineer (AI/ML) (Team Leader) at Talent Pro Bangladesh Ltd. (July 2024 - Present)
- Research and implement on different types of projects on Machine learning, Deep learning, NLP and Big data.
- Develop machine learning, deep learning, NLP and computer vision projects.
- Team leading, Client handling, project planning and Project management.
- Research new technology, algorithms, models and library based on AI.
AI Agent Developer at Jeysol Buiness Solution UK Ltd. (Feb 2025 - May 2025)
- Research and implement on different types AI agents.
- Develop Chatbot system.
- AI-driven Automation.
- Research new technology, algorithms, models and library based on AI.
Data Science Reseacher & AI Tutor at Toloka (March 2024 - July 2024)
- Research on different types of topics based on Machine learning, Deep learning, NLP and Big data.
- Need to train LLM model for the automated generated reply.
- Write content on different types of AI topics.
- Research new technology, algorithms, models and library based on AI.
Project Manager at iSharify Ltd. (Jan 2022 - July 2024)
- Working as a team leader, Managing different types of projects like data management, product analysis, e-commerce and Customer service.
- Checking all the tasks from the team, setup meetings with the client, and updating all projects to the client.
- Preparing all the plans for the new projects, analysis every project, and trying to resolve every problem in the project.
- I have developed two deep learning models for customer service team and one machine learning model for project management.
Artificial Intelleigence Instructor at Microland IT solutions LTD. (July 2022 - December 2022)
- Prepared classes and notes regarding AI and researched new technology on AI.
- Worked on AI projects, and took classes to learn about new technologies in AI.
Data Annotator at Quantigo.ai (November 2021 - January 2022)
- Data cleaning, Data preprocessing, Data annotation, working with Big data.
Research Assistant at Daffodil International University (December 2020 - November 2021)
- Prepared classes and notes regarding AI, and research on AI.
- Worked on AI projects, took classes, took exams and reported.
Researcher at DIU ML And NLP Lab (December 2019 - November 2022)
- Research on AI technologies, Worked on NLP, ML and Data Science projects.
- Worked on Data set Speech recognition, worked on data set for Bangla Language.
- Attend different types of Conferences, and presentations on different types of Conferences, and search for the best conferences.
- Publications paper, research on paper, paper writing.
Other Working Experience
Founder of IT Crowed (2019 - 2022)
- Full training to work on online, freelancing.
- More than 50 people got earning facilities by working online.
- Guide them proper way to know basic computer skills, training them to develop computer basic skills.
- Graphics design, data entry, surveys, data collection, Machine learning different types of projects were involved where many employees got their chance to work and got payment daily.
- Managed a large number of people and developed a platform where they could earn their skills.
Founder of Get_project (2022 - present)
- Working on AI technologies, Working on NLP, ML and Data Science projects.
- Research on AI, NLP, ML and Data Science projects, a proper guide to publications of any type of research work.
- Web development projects, AI projects, and Customer service projects.
- Managing different types of projects and managing every team.
Sales Executive at Pran (June 2015 - Feb 2016)
- Product sell, Product Marketing, Fillup sales target.
Teacher at Borno Coaching Center (December 2016 - May 2019)
- Took classes, Prepared lessons, took exams, prepared notes, etc.
Football (2013- Presents)
- Organizing one of the most popular football tournaments in Dhaka (2016,2018,2023,2024)
- Played professional football in School, college, Professional, and corporate level.
- Captain in one of the most popular football team in Dhaka Named FC LCBD.
Projects
Box detection using Computer Vision
Box detection using Computer vision. I have used OpenCv and deep learning algorithms. I have also used RANSAC algorithm.
Upcoming cyber attack prediction using machine learning
It analyzes patterns from past cyberattacks using algorithms such as J48, KNN, REPTree, and Random Forest; second, it forecasts future cyberattacks based on those patterns.
Sign language prediction using deep learning model
We have trained CNN (Convolutional Neural Network) algorithm to predict sign language. There are also pretrained models which also used in this model.
Apple plant trees disease detection using CNN and Sequential model
Developed a deep learning model using CNN and Sequential model where there are many classifications for Apple plant tress disease. There are a lot of image data. After preprocessing those image data, we have developed a model where the model will identify the disease of the plant.
Cases Prediction using NLP
There are a lot of messages from customer service on e-commerce sites. The data were collected from there. After collecting data, they have trained so that when new cases are generated it will automatically show the response from the customer service manager.
Chat bot system using NLP
Automatic AI chatbot where you can train the model and the chatbot will learn from data. The chatbot will give the output in the message.
Face recognition using deep learning
The model is used for face recognition where the attendance system will taken automatically and the attendance will be updated on the given file.
Virtual mouse using AI
By using hand gestures you can make a mouse using AI.
Human interaction using video data
Using train data, we can identify which action is taken. The action has different classes. The action will be identified from video data.
Drug Addiction prediction using machine learning
We have analysis their drug addiction behavior. From this research work we can identify drug addiction behavior also. We have used classification model to classified different types of drug addiction people problem.
Acceleramotor data for human action prediction using Machine Learning
By using machine learning models the data has been classified. There is accelerator data that has been used to predict the actions.
Firm business prediction model
Visualization of business model. The prediction of risk management using machine learning. So that we can understand and be ready to take business.
Toxic comment detection for Bangla language using NLP
More than 600000 data have been taken as data. All data has been collected online. There are different classifications to find out the toxicity level and find the sentence is toxic or not. There are visualization and preprocessing of all the trained and test data.
Brian Tumor disease prediction
2D report data has been taken to find out the disease. CNN model has been trained and there is also part of data preprocessing. There is a hybrid model of CNN and a comparison of each hybrid model.
hberman Survival Data Analysis
Predict whether a patient will survive after 5 years or not based upon the patient’s age, his or her operation year and the number of positive lymph nodes.
Software prediction project using Machine Learning and Deep Learning
Software prediction has been used. Where the machine learning and the deep learning algorithms have been compared.
House price prediction
These are linear regression code .There are linear model,small, medium and large data set solved with linear regression.
osaka um datamodel using machine learning
The model will solve the different problems on um. What is the time and is it possible to grow um in Bangladesh? The model visualizes all the data and makes predictions on these.
Voice flow demo
Automated voice recognitions and answer from the model. Voice assistant.
Training, Awards, Mileston And Certifications
- Introduction to data science in python (University of Michigan, Auguest-2020)
- Neural Network and deep learning (DeepLearning.AI, May-2020)
- Python Project: pillow, tesseract, and opencv(University of Michigan, March-2021)
- Coronathon-19
- In recognition of scholarly publications in reputed indexed journals- 2020
- Experience in working more than 40 AI projects so far.
Publications
- Abir Abdullha, AKM Shahriar Azad Rabby, Yeasin Habib, Md. Raisul Islam Masum.”Countries Condition Of Forestation And Trees PercentageUsing Machine Learning”,SMART-2019.
- Abir Abdullha,Sheikh Abujhar.”COVID-19: Data Analysis and The situation Prediction Using Machine Learning Based on Bangladesh perspective”,iSAINLP-Aiot-2020.
- Abir Abdullha,Abdus Sattar,Md Riad Hasan,Md Forhad Hossain.” Cultivating Tulip at Extent by Using Machine Learning in Context to Bangladesh”, ICAECT-2022.
Hobbies
Coding, Research, Traveling, Reading and Football.
Photo Gallery
For Contact
Phone number: +8801682104642
Gmail: abir.abdullah16@gmail.com
Researchgate: https://www.researchgate.net/profile/Abir_Abdullha
Linkdln: https://www.linkedin.com/in/abir-abdullha-720b7118b/
Github: https://github.com/Abir0810
Google sites: https://sites.google.com/view/abirabdullah/home
Kaggle: https://www.kaggle.com/abirabdullah
Medium: https://medium.com/@abir.abdullah16