Hello, I'm —
Debwashis
Borman
M.Sc. Data Science student at TU Braunschweig. I build and benchmark vision-AI models — computer vision, deep learning, generative AI, remote sensing — and the HPC/ML pipelines that train them.
About Me
I'm currently a Master's student in Data Science at TU Braunschweig with hands-on experience in computer vision, deep learning, generative AI, remote sensing, and ML/HPC workflows. I train, evaluate, and optimize vision AI models using Python, PyTorc
Skills & Expertise
Featured Projects
View All ProjectsProjection Mapping in Unity3D
Spatial calibration + blending for multi-projector image/video content, in Unity3D.
View ProjectArc-Mode Classification + PyQt GUI
Deep-learning pipeline that classifies arc appearance modes from high-speed video, with a PyQt analysis GUI.
View ProjectMultitask NLP Classifier with BERT
Multitask BERT for paraphrase detection, semantic textual similarity and sentiment analysis.
View ProjectMoving-Object Classification from a Single Line
Deep CNN that classifies vehicles using only single-line pixel input from traffic videos.
View ProjectMy Journey
- 2015 – 2019B.Sc. Applied MathematicsUniversity of Dhaka, Bangladesh
Foundation in applied math, statistics and scientific computing.
- 2016 – 2021Freelance Full-Stack DevIndependent
Delivered 30+ websites and apps — WordPress, Laravel, Django, Next.js.
- 2022 – 2023M.Sc. MathematicsUniversity of Göttingen
Studied mathematics with a computational focus before transferring to Data Science.
- 2023 – PresentM.Sc. Data ScienceTU Braunschweig
Currently pursuing my master's with a research focus on generative vision AI.
- 2026Master Thesis @ DLRSynthetic DSM via Stable Diffusion
Building generative CV models that synthesize Digital Surface Models from DTM + building masks.
From My Blog
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