I am a Machine Learning Engineer with four years of experience designing, building, and deploying ML systems. I specialize in computer vision, multimodal learning, and large language models, and I enjoy turning complex data into practical, scalable solutions. My current work focuses on satellite radar data fusion for precipitation nowcasting at Fraunhofer HHI, where I drive end-to-end ML experiments and production-ready pipelines. I’m passionate about robust architectures and cross-disciplinary collaboration, and I love sharing knowledge to accelerate impactful results. Beyond research, I’ve built end-to-end data pipelines in Python and SQL, mentored data annotation workflows, and contributed to open ML tooling. I hold an MSc in Data Science (expected 2026) from Berliner Hochschule für Technik and a BSc in Computer Science & Engineering from United International University, Dhaka. I’m fluent in English and Bengali, with working German and Hindi skills, and I’m excited to apply ML to real-world problems.

Atik Islam Sajib

I am a Machine Learning Engineer with four years of experience designing, building, and deploying ML systems. I specialize in computer vision, multimodal learning, and large language models, and I enjoy turning complex data into practical, scalable solutions. My current work focuses on satellite radar data fusion for precipitation nowcasting at Fraunhofer HHI, where I drive end-to-end ML experiments and production-ready pipelines. I’m passionate about robust architectures and cross-disciplinary collaboration, and I love sharing knowledge to accelerate impactful results. Beyond research, I’ve built end-to-end data pipelines in Python and SQL, mentored data annotation workflows, and contributed to open ML tooling. I hold an MSc in Data Science (expected 2026) from Berliner Hochschule für Technik and a BSc in Computer Science & Engineering from United International University, Dhaka. I’m fluent in English and Bengali, with working German and Hindi skills, and I’m excited to apply ML to real-world problems.

Available to hire

I am a Machine Learning Engineer with four years of experience designing, building, and deploying ML systems. I specialize in computer vision, multimodal learning, and large language models, and I enjoy turning complex data into practical, scalable solutions. My current work focuses on satellite radar data fusion for precipitation nowcasting at Fraunhofer HHI, where I drive end-to-end ML experiments and production-ready pipelines. I’m passionate about robust architectures and cross-disciplinary collaboration, and I love sharing knowledge to accelerate impactful results.

Beyond research, I’ve built end-to-end data pipelines in Python and SQL, mentored data annotation workflows, and contributed to open ML tooling. I hold an MSc in Data Science (expected 2026) from Berliner Hochschule für Technik and a BSc in Computer Science & Engineering from United International University, Dhaka. I’m fluent in English and Bengali, with working German and Hindi skills, and I’m excited to apply ML to real-world problems.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Bengali
Fluent
Hindi
Intermediate
German
Advanced

Work Experience

Part-time Research Assistant at Fraunhofer Heinrich Hertz Institute
January 1, 2023 - Present
Architected automated pipelines and contributed to real-time high-precision nowcasting using RADOLAN/EUMETSAT data. Led multimodal ML experiments and implemented scalable pipelines with Git, DVC, Docker, MLflow, and REST APIs to support high availability and reproducibility. Coordinated with project stakeholders to align model performance with KPIs and research objectives.
Machine Learning Engineer at AganSoft
February 1, 2020 - December 31, 2022
Developed computer vision systems for vehicle classification with real-time monitoring (94% accuracy). Built NLP models with Transformer-based approaches and fine-tuned large language models for Bengali text analysis. Designed scalable Python–SQL data pipelines for large ML datasets, and managed annotation workflows (LabelMe/LabelImg). Implemented Bangla text preprocessing (NLTK/BNLP) improving sentiment classification by ~12%.

Education

MSc Data Science at Berliner Hochschule für Technik
October 1, 2022 - October 1, 2026
BSc Computer Science and Engineering at United International University
August 1, 2015 - November 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Media & Entertainment, Education, Professional Services