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About Me

Hi! I am Abu Taher, a doctoral researcher at the University of Oulu, Finland. I work at the intersection of distributed systems, edge AI and healthcare. My research focuses on envisioning and implementing architecture that will power hospitals of the future. 

If you want to talk with me, feel free to reach out either by email or through LinkedIn. Read More

Download CV

WORKING EXPERIENCE

Center for Wireless Communication, University of Oulu, Finland

Doctoral Researcher (Mar 2026 - Ongoing)

Project Researcher (Jan 2026 - Feb 2026)

Research Assistant (April 2025 - Dec 2025)

Working on the edge-cloud continuum, studying geo-distributed multi-tier, multi-cluster critical medical application orchestration. 

Skills: Docker · Docker Swarm · Kubernetes · Linux OS · Cloud Computing (AWS and CSC)

Huawei, Dhaka, Bangladesh 

System Engineer (July 2024 - August 2024)

I got the interview opportunity at Huawei through the campus recruitment exam, where more than 200 students participated and only 5 were finally selected. In the first week of my job, I went through an intensive workshop, learning about the company’s culture, values, business practices, and the sheer scale of its operations in Bangladesh. During the following three weeks of my one-month job, I studied the network topology of Robi, one of the biggest telecom operators in Bangladesh, along with Huawei’s CloudEngine equipment that powers Robi’s daily operations at a massive scale. During this time, I gained knowledge about 4G IMS, network virtualization, company values and culture, and also had the opportunity to network with colleagues. 

Skills: Voice Core · 4G IMS · Software Defined Networking · Network cloud virtualization · Network Engineering · Local Area Network (LAN) · Wide Area Network (WAN) 

I AM SKILLED AT


DevOps

Docker | Kubernetes | Linux OS (Ubuntu) | GitLab | Redis | Git | Prometheus | Grafana


PROGRAMMING

C, C++ | Basic Python | JS/HTML/CSS basics | Keras Library | Microsoft SQL Server, Data structure and Algorithms, | Programming with ASP.NET


MACHINE LEARNING & AI

TensorFlow | Keras | Scikit-learn | Dlib | OpenCV | face_recognition | NLTK | SciPy | NumPy | Pandas 


NETWORKING TOOLS

Wireshark | Cisco packet tracer


ENGINEERING TOOLS

R | MatLab | CST studio suite(antenna design software) | Microwind DSCH2


DATABASE DESIGN

Microsft SQL server | MySQL 


MY PROJECTS

Geo-Distributed LLM ChatBot

As part of my Distributed Systems course (MSc), I built this full-stack chatbot application by using GPT-2 (124M parameters) as a base model. The GPT-2 model was split layer-wise into two halves and deployed on two local PCs during development. These two parts communicate over the gRPC protocol. To make the application fully functional and user-friendly, I developed 7 containerized microservices: UI service, API gateway, authentication, database, inference, monitoring, prompt engineering, and load balancing. These services interact through RESTful APIs to provide a seamless user experience. For the backend, I used MySQL for storing user and chat history data. Part of this project was containerized using Docker and successfully deployed on the AWS (t2.medium EC2) cloud. I performed unit tests, load tests, and chaos engineering (98.5% uptime) to evaluate robustness and performance. From this project, I learned to design, develop, test, and deploy a cloud-native application. 

AI-Powered Home Automation System

Developed an intelligent anomaly detection device using Raspberry pi and Edge AI. Implemented IoT communication pipeline using MQTT and Node-RED, which demonstrates an understanding of network communication protocols and data transmission.

Technologies: Raspberry Pi Pico W, MQTT, InfluxDB, Grafana, Random Forest

MORE

Publications

Cotton Leaves Disease Classification Using Custom Convolutional Neural Network (CNN) Model 

[ 2023 ]

A. Taher and F. Hossain, ‘Cotton Leaves Disease Classification Using Custom Convolutional Neural Network (CNN) Model’, presented at the INTERNATIONAL CONFERENCE ON NEXT-GENERATION COMPUTING, IoT AND MACHINE LEARNING NCIM 2023, Department of Computer Science and Engineering of Dhaka University of Engineering & Technology, Gazipur, Bangladesh: IEEE.


Improving Pneumonia Diagnosis: A Deep Transfer Learning CNN Ensemble Approach for Accurate Chest X-Ray Image Analysis 

[ 2023 ]

Hasan, R., Ullah, S. M. A., Nandi, A., & Taher, A. (2023, September). Improving Pneumonia Diagnosis: A Deep Transfer Learning CNN Ensemble Approach for Accurate Chest X-Ray Image Analysis. In 202 3 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 109-113). IEEE. 

SEE DETAILS

EDUCATION

Master's in Computer Science and Engineering

[ 01 Sept 2024 – 31 December 2025 ]

University of Oulu, Finland      

Specialization: Artificial Intelligence

Courses: Natural Language Processing and Text Mining, Towards Data Mining, Introduction to Optimization, Biosignal Processing 1, Machine Vision, Machine Learning, Big Data Processing and Applications, Computer Graphics, Affective Computing, Multi-Modal Data Fusion, Deep Learning, Distributed System, Multiprocessor Programming, Internet of Things, Human AI Creativity and C++ Programming

B.Sc. Eng. in Electronics and Communication Engineering 

[ 27 Nov 2017 – 20 Mar 2023 ]

Khulna University of Engineering & Technology      

Thesis: Cotton Leaves Disease Classification Using Custom Convolutional Neural Network (CNN) Model 

Higher School Certificate Examination

[ 30 Apr 2015 – 23 Jul 2017 ]

Government Victoria College Narail

Final grade: 5.00 out of 5.00 

Secondary School Certificate Examination 

[ 1 Jan 2013 – 30 May 2015 ]

Narail Government High School

Final grade: 5.00 out of 5.00 

CERTIFICATIONS


Foundations: Data, Data Everywhere

Authorized by Google and offered through Coursera


SQL Server Developer Career Track

Authorized by DataCamp


HONORS AND AWARDS


General Scholarship (SSC)

Awarding institution:  Jessore Board


Technical Scholarship

Awarding institution: Khulna University of Engineering and Technology


WORKSHOPS


Presentation Workshop

KUET Career Club


Line-follower Robot

Manipulation of Electrons (MEC), KUET


Printed Circuit Board Design

Dept. of ECE, KUET


VOLUNTEERING


Advisor [2023-Current]

Narail Student Association of KUET


General Member [2018–2019]

KUET Career Club


RECOMMENDATION

Dr. Md. Foisal Hossain

“I was Abu Taher’s supervisor and course teacher. He was one of the most active and passionate students in his class. Being his thesis supervisor in his senior year, I mentored him closely and came to know about his diligent nature in his research work. Abu Taher developed a robust CNN model capable of accurately classifying various cotton leaf diseases during his bachelor’s thesis, demonstrating superior performance compared to other CNN models. He was very rigorous in his research. I believe that he will continue to excel in his future studies and contribute significantly to any research endeavors he undertakes.” 

Dr. Mirza Mohd. Shahriar Masood

“Abu Taher is a dedicated, highly energetic student. As a project supervisor and course teacher, I have observed Taher’s academic integrity and intellectual ability very closely. During the electronics project, he developed a patient monitoring system using a pulse oximeter, ESP Arduino, and thermistor, which could send the data to an Android app. In my class, he was always disciplined, responsive, and obedient throughout the course. He has always tried to achieve a conceptual understanding of every course by analyzing the theory and applying the theoretical knowledge in practical work, which helped him to be awarded an above-average GPA in all of my courses.” 

LINKS

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CONTACT

E-mail: [email protected], abu.taher@oulu.fi

Whatsapp: +88 01827 - 174886

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