AI Research Engineer with 3+ years in Data Science & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A Computer Science and Engineering graduate specializing in Data Science, with a robust foundation in Artificial Intelligence and a proven track record in end-to-end machine learning pipelines. A published Springer author experienced in computer vision research, data engineering, and full-stack system deployment. Driven by a continuous learning mindset and eager to leverage technical expertise, analytical thinking, and strong communication skills to solve complex computational problems.
Abdur Razzaque School & College
SSC · Science
N/A – May 31, 2018
Dhaka Imperial College
HSC · Science
N/A – May 31, 2020
East West University
CSE (Major in Data Science) · Computer Science and Engineering
N/A – June 30, 2026
WebAble Digital
Community Manager
June 1, 2023 – Present
India
Machine Learning Driven Detection of Dental Irregularities in Panoramic Radiographs
June 1, 2023 – June 1, 2026
Curated, cropped, and annotated a medically validated dataset of panoramic dental X-rays mapping 6 diagnostic classes (Crown, Crown Bridge, Filling, Hypodontia, Impacted Tooth, Root Canal) using Label Studio. Automated image enhancement utilizing Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN) to highlight subtle micro-structures and boundaries. Designed and trained a series of single-stage and two-stage object detection architectures. Developed a custom YOLOv26 framework optimized with multi-scale feature aggregation and a 1024x1024 input resolution to effectively handle small and low-contrast anomalies, achieving a baseline performance metric of 0.66 mAP@50. Successfully bridged algorithmic development and clinical utility by deploying the optimal model into a functional web-based diagnostic assistant. Built user features including real-time image processing, region-based visual close-ups of detected anomalies, an integrated AI chat assistant for clinical interpretation, and automated PDF screening report generation.
Cultural Fit Analysis
The candidate's academic project demonstrates a strong interest and capability in AI/ML research and application, which aligns well with an AI Research Engineer role. The project's scope, involving medical imaging and full-stack deployment, shows a breadth of skills and a proactive approach to learning and implementation. The current professional experience as a Community Manager is not directly relevant to the target role, but the academic background and project work indicate a strong drive towards technical roles. The publications further support a research-oriented mindset.
Soft Skills & Operational Fit
The candidate highlights 'Creative', 'Hardworking', 'Innovative', 'Organized', 'Analytical', 'Responsible', 'Punctual', 'Perfectionist', and 'Team worker' as key personal skills. While these are positive attributes, the current 'Community Manager' role does not provide direct evidence of these in a technical operational context. The project description, however, implies strong analytical and problem-solving skills through the complex ML development and deployment.