Machine Learning Engineer.
AI Researcher.
Software Engineer
Full Stack Web Developer.
Android Developer.
Saieef Sunny
A passionate Software Engineer currently pursuing an MSc in Artificial Intelligence at the University of East London, specializing in Machine Learning, Software Engineering, and Large Language Models. Passionate about solving complex problems using advanced techniques in machine learning, computer vision, and natural language processing. Experienced in Full Stack Web Development, API Development, and Android Development, with a strong focus on building scalable and efficient solutions.
What I Do
Education
2024 - Present
Master of Science in Artificial Intelligence
University of East London
Currently pursuing an advanced AI program with a focus on deep learning, NLP, computer
vision, and AI ethics. My coursework includes hands-on projects in reinforcement
learning, generative AI, and cloud-based AI deployment. I am conducting research on
the application of transformers for real-world problems and working on AI-driven
automation systems. Through collaboration with industry professionals, I am enhancing
my expertise in scalable AI solutions.
2019 - 2022
Bachelor of Science in Computer Science and Engineering
University of Liberal Arts Bangladesh CGPA: 3.65/4.00
Specialized in machine learning, data science, and software engineering. Developed
several AI-based projects, including cyberbullying detection, fish species
classification, and ensemble learning models for disease prediction. Published
multiple research papers in AI and NLP, contributing to advancements in sentiment
analysis and deep learning applications. Gained hands-on experience in TensorFlow,
PyTorch, and full-stack development while actively participating in AI research
initiatives.
2015 - 2017
Higher Secondary Certificate (Science)
Mohammadpur Central University College GPA: 4.08/5.00
Focused on mathematics, physics, and computer science, developing strong analytical
and problem-solving skills. Explored introductory programming concepts, data
structures, and algorithms, which laid the foundation for my interest in artificial
intelligence and software development. Actively participated in programming contests
and science fairs, demonstrating my ability to apply theoretical knowledge in
real-world scenarios.
2013 - 2015
Secondary School Certificate (Science)
Mohammadpur Govt. High School GPA: 4.39/5.00
Developed a strong foundation in science, mathematics, and computational thinking.
Discovered my passion for problem-solving and logical reasoning, which led me to
explore programming languages and algorithmic challenges. Excelled in STEM subjects,
participated in coding workshops, and gained early exposure to software development
concepts that shaped my future career path in artificial intelligence and machine
learning.
Experience
February 2024 - Present
Data Engineer
SuperAnnotate (Remote, USA)- Trained AI models using large-scale LLM datasets, optimizing data quality for AI training.
- Enhanced model evaluation workflows, reducing error rates by 20% and improving performance by 8%.
- Led quality control for 5+ AI projects, ensuring accurate labeled data for AI model development.
September 2023 - December 2023
Data Quality Assesment
Quantigo AI (Remote, USA)- Performed data annotations (Bounding Box, Polygon, Segmentation) with 98% labeling accuracy.
- Optimized data preparation techniques, improving processing efficiency by 30%.
- Worked with annotation tools like Superb.ly and Roboflow, contributing to successful AI model deployment.
January 2024 - July 2024
Machine Learning Research Assistant
University of Liberal Arts Bangladesh- Conducted research in NLP and computer vision, analyzing over 27,000 images for deep learning classification.
- Developed a sentiment analysis model for Bangla product reviews, processing 12,000+ data points.
- Collaborated on AI-driven research, leading to multiple academic publications and model advancements.
August 2023 - December 2023
Junior Software Engineer
M360 ICT (Dhaka, Bangladesh)- Developed AI-powered features, optimizing system automation and improving response time by 15%.
- Integrated Sabre API for real-time OTA booking services, increasing bookings by 20%.
- Led the development of a scalable OTA platform, ensuring efficiency and security improvements.
Research Interests
Machine Learning
Artificial Intelegence
Natural Language Processing
Recommendation Systems
Healthcare Systems
Disease Prediction
Image processing
Computer Vision
Human-Computer Interaction
Deep Learning
Neural Networks
Ensemble Learnning
Ongoing Research
Bangladeshi Plant Leaf Freshness and Disease Detection Using Deep Learning
Submitted in ICDSAIA 2025- Designed a deep learning-based model to classify plant leaf diseases and predict freshness using image processing techniques.
- Utilized CNN architectures for high-accuracy classification, providing insights for agricultural sustainability.
Brain Cancer Classification Using Transfer Learning on the Bangladesh Brain Cancer MRI Dataset
Submitted in ICDSAIA 2025- Developed an AI-based system for early-stage brain cancer detection using MRI images.
- Implemented transfer learning on pre-trained deep learning models, achieving high classification accuracy.
Flood Survivor Detection from Aerial Footage Using Deep Learning
Ongoing Research- Developing a deep learning model to detect flood survivors using aerial imagery.
- Utilizing convolutional neural networks (CNNs) to enhance detection accuracy in complex flood scenarios.
Surface Level Damage Detection from Windmills and Solar Panels
Ongoing Research- Designing a system for detecting surface-level damage in renewable energy structures.
- Employing advanced image processing and machine learning algorithms for accurate damage assessment.
Unplanned Admission Prediction in East London Hospitals
Ongoing Research- Building a predictive model to identify patients at risk of unplanned admissions in hospitals.
- Incorporating patient history and demographic data to enhance prediction reliability.
Deepfake Voice Detection Using Image Processing
Ongoing Research- Developing an AI model to detect deepfake voices through analysis of spectrogram images.
- Integrating advanced image processing and audio analysis techniques to improve detection accuracy.
Multimodal Fake News Detection Using Knowledge Graphs
Ongoing Research- Building a system to detect fake news using multimodal data, including text, images, and videos.
- Leveraging knowledge graphs to connect relevant entities and enhance detection capabilities.
Anomaly Detection Using Explainable AI
Ongoing Research- Developing an explainable AI system to detect anomalies in various datasets.
- Focusing on model transparency to ensure trust and understanding in anomaly detection results.
Publications
Comprehensive Smartphone Image Dataset for Fish Species Identification in Bangladesh’s Freshwater Ecosystems
Data in Brief, 2025 (Journal)- Developed and curated a large-scale smartphone image dataset covering 21 fish species found in Bangladesh's freshwater ecosystems.
- Designed dataset annotation guidelines to ensure high-quality labeled data for training deep learning models.
- Provided an open-source dataset to support AI-based fish species classification and conservation research.
Advanced Deep Learning Approaches for Fish Species Classification in Bangladeshi Fish Markets
ECCE 2025- Designed and trained a deep learning model for real-time fish species recognition in markets.
- Utilized CNNs and data augmentation techniques to improve classification accuracy.
Network Traffic Anomaly Detection using Deep Learning and Explainable AI
ECCE 2025- Proposed a deep learning-based anomaly detection system for cybersecurity applications.
- Utilized Explainable AI (XAI) methods to interpret model decisions, enhancing transparency.
Deep Learning-Based Undergraduate Program Recommendation System for Bangladeshi Students
ECCE 2025- Developed a recommendation system to guide Bangladeshi students in selecting university programs.
- Utilized deep learning and collaborative filtering techniques to provide personalized recommendations.
Optimized Deep Learning Approach for Accurate Poultry Disease Detection
Accepted in ICACIT 2024- Designed a deep learning-based detection system for diagnosing poultry diseases.
- Utilized CNNs and medical image analysis techniques to improve disease classification accuracy.
A Transformer-Based Approach for Analyzing Product Reviews from Social Media Platforms with Explainable AI
ICCIT 2024- Developed a transformer-based NLP model for sentiment analysis on Bangla social media product reviews.
- Applied Explainable AI techniques to enhance model interpretability and trustworthiness.
Deep Learning Approach for Multi‑label Detection of Abusive Bangla Social Media Comments
Accepted in ICCIT 2024- Developed a multi-label classification model to detect abusive language in Bangla social media comments.
- Implemented deep learning architectures to achieve high accuracy in cyberbullying detection.
Soft Voting Ensemble‑Based Approach for Diagnosing Diabetes Mellitus
Published in iCACCESS 2024 (IEEE Conference)- Developed an ensemble learning approach combining Random Forest, XGBoost, and Gradient Boosting.
- Achieved 99.50% accuracy, demonstrating significant improvements in diabetes diagnosis.
Bangla E‑Commerce Sentiment Analysis Optimization Using Tokenization and TF‑IDF
Published in iCACCESS 2024 (IEEE Conference)- Optimized Bangla e-commerce sentiment analysis using advanced tokenization and TF-IDF techniques.
- Implemented machine learning models achieving high accuracy in Bangla text sentiment classification.
Certificates
Programming Languages
Python
95%
Java
90%
C++
85%
C#
80%
Web Development
HTML / CSS / Bootstrap
95%
JavaScript
85%
React
80%
Node.js
75%
Database & Cloud Technologies
SQL (MySQL, PostgreSQL, MongoDB)
85%
Amazon Web Services (AWS)
85%
Azure
80%
MATLAB
75%
Tools & DevOps
Git & GitHub
90%
Docker
85%
Jira & Trello
80%
LaTeX
75%
Extracurricular Activities
June 2023
IELTS Exam
British Council Band: 7.00 In addition to my academic pursuits, I undertook the International
English Language Testing System (IELTS) exam and achieved a score of 7. This test
assessed my proficiency in the English language, covering areas such as listening,
reading, writing, and speaking. This accomplishment demonstrates my ability to
effectively communicate and comprehend complex ideas in English, enhancing my
versatility and global outlook.
January 2022
Member of IEEE and Computer Society
Institute of Electrical and Electronics Engineers (IEEE) Since 2021, I have been an active member of the Institute of
Electrical and Electronics Engineers (IEEE), a renowned global community of
professionals in the field of technology. During my higher secondary education, I
explored subjects ranging from mathematics to computer science, which laid the
foundation for my passion for technology and my commitment to continuous learning and
professional growth.
March 2020 - October 2022
Former Member ULAB Computer Programming Club
ULAB Computer Programming Club (UCPC) As an active member of the ULAB Computer Programming Club during my
higher secondary education, I engaged in various programming-related activities and
projects. This experience provided me with invaluable opportunities to collaborate,
learn from peers, and further develop my programming skills. It strengthened my
passion for technology and solidified my commitment to a career in the field.
March 2020 - October 2022
Former Member ULAB Indoor Games Club
ULAB Indoor Games Club (UIGC) During my higher secondary education, I actively participated in the
ULAB Indoor Games Club as a member. I honed my skills in badminton and table tennis,
regularly participating in club activities and tournaments. Additionally, I actively
engaged in the club's general meetings, fostering teamwork, leadership, and a sense of
camaraderie. These experiences further shaped my holistic development and instilled in
me the importance of balance in life.
Volenteer Works
8 September 2022
Seminar Volenteer: Cyber Security Seminar
University of Liberal Arts Bangladesh- Successfully volunteered at the Cyber Security Seminar, assisting in educating students about the importance of online safety and security.
- Effectively managed the crowd and ensured smooth attendance during the event, contributing to a well-organized and engaging experience for participants.
27 August 2022
Workshop Volenteer: Writing a Scientific Research Paper Using LaTeX
University of Liberal Arts Bangladesh- Successfully managed and organized the crowd during the workshop, ensuring a smooth and engaging learning experience for all participants.
- Provided valuable assistance and guidance to students throughout the workshop, addressing their queries and helping them overcome challenges in using LaTeX for their research papers.
- Assisted students in learning and using LaTeX effectively for scientific research paper writing.
10 August 2022
Seminar Volenteer: IT Career Opportunities in Japan
University of Liberal Arts Bangladesh- Conducted informative and well-received information seminars, effectively conveying the benefits of volunteering and encouraging student participation.
- Ensured smooth and efficient catering and crowd management during the events, creating a positive and enjoyable experience for all attendees.
7 March 2020
Seminar Volunteer: Quality Teaching and Learning Workshop
Center for Excellence in Teaching and Learning, ULAB- Actively listened to students' problems and provided effective solutions during the Quality Teaching and Learning Workshop.
- Successfully facilitated open and engaging discussions with students, creating a safe space for them to express their concerns and share their ideas.
- Ensured smooth and efficient catering arrangements, contributing to a positive and comfortable experience for all participants at the event.
22-23 January 2020
Workshop Volenteer: Moodle Training Workshop
Center for Excellence in Teaching and Learning, ULAB- Assisted in organizing and facilitating Moodle Training Workshops, ensuring a smooth and efficient learning experience for participants.
- Provided valuable support to workshop attendees, addressing their questions and concerns regarding Moodle usage and troubleshooting technical issues.
- Collaborated with the workshop team to develop comprehensive training materials and resources, contributing to the overall success of the training program.
Interests
Sports
Music
Traveling
Video Games
References
Saieef Sarower has been an exceptional student and TA during his time in our department. His dedication, expertise in algorithms and operating systems, and ability to effectively communicate complex concepts have made him an invaluable asset. His commitment to excellence is commendable, and I have no doubt he will excel in his future endeavors.
Saieef was an exceptional TA during our time together. His depth of knowledge in database systems and automata theory was evident in his teaching and assistance to students. He displayed strong analytical skills and effectively communicated complex concepts. Saieef's dedication and expertise greatly contributed to the success of our courses.
Saieef's dedication and skills in developing our online code editor project were remarkable. He consistently demonstrated a deep understanding of programming concepts and exhibited excellent problem-solving abilities. His commitment to delivering a high-quality solution, coupled with his strong work ethic, made him an invaluable asset to the team. Impressive work!
Saieef Sarower demonstrated exceptional ethical values and a strong commitment to academic integrity during his time as my student. His work under the CETL showcased his dedication to promoting excellence in education. He consistently displayed professionalism and a deep understanding of ethical principles in his academic endeavors.
Saieef Sarower is an exceptional student and a dedicated Teaching Assistant. His strong grasp of mathematics, combined with his excellent communication skills, made him an invaluable asset in the classroom. Saieef's commitment to helping his peers understand complex concepts truly set him apart. I have no doubt he will excel in his future endeavors.