// professional timeline — engineering, research & leadership roles
// curated full-stack apps, AI systems & intelligent tools
// interactive papers — hover rows to preview telemetry
Benchmarked supervised & self-supervised paradigms for MRI pathology detection. DINOv3 + YOLOv12 achieved 94.08% mAP@0.5.
Co-developed a degradation-aware temporal framework combining quality-weighted fusion and multi-expert detection heads for CCTV.
DINOv3 + YOLOv12 Benchmark (94.08% mAP@0.5)
// formal pedigree — computer science & engineering foundation
East West University
RAJUK Uttara Model College
2018 — 2020
Ideal School and College
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// professional credentials & certified qualifications
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// open for full-stack engineering, AI collaboration & visionary projects