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I am a machine learning researcher specializing in deep learning, computer vision, and multimodal modelling. I design and optimize neural networks for both research and applied domains, including medical imaging, NLP, and biosignal analysis. I am skilled at large-scale training, hyperparameter optimization, and efficient model deployment on GPU clusters, and I enjoy translating research ideas into practical, real-world solutions.…I am a machine learning researcher specializing in deep learning, computer vision, and multimodal modelling. I design and optimize neural networks for both research and applied domains, including medical imaging, NLP, and biosignal analysis. I am skilled at large-scale training, hyperparameter optimization, and efficient model deployment on GPU clusters, and I enjoy translating research ideas into practical, real-world solutions.

MOHD FARAZ SHAIKH

AI Developer, AI Engineer, AI Prompt Engineer, +7

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I am a machine learning researcher specializing in deep learning, computer vision, and multimodal modelling. I design and optimize neural networks for both research and applied domains, including medical imaging, NLP, and biosignal analysis. I am skilled at large-scale training, hyperparameter optimization, and efficient model deployment on GPU clusters, and I enjoy translating research ideas into practical, real-world solutions.…I am a machine learning researcher specializing in deep learning, computer vision, and multimodal modelling. I design and optimize neural networks for both research and applied domains, including medical imaging, NLP, and biosignal analysis. I am skilled at large-scale training, hyperparameter optimization, and efficient model deployment on GPU clusters, and I enjoy translating research ideas into practical, real-world solutions.

Available to hire

I am a machine learning researcher specializing in deep learning, computer vision, and multimodal modelling. I design and optimize neural networks for both research and applied domains, including medical imaging, NLP, and biosignal analysis.

I am skilled at large-scale training, hyperparameter optimization, and efficient model deployment on GPU clusters, and I enjoy translating research ideas into practical, real-world solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

German

Advanced

Hindi

Fluent

Work Experience

Research Associate in Deep Learning at Ostfalia Hochschule Wolfenbüttel

March 1, 2023 - Present

Developed CNN and Transformer-based pipelines for vertebral fracture diagnosis and prognosis from CT scans, achieving state-of-the-art performance with 82% AUROC. Finetuned Vision-Language (VLMs) and multimodal models for vertebral fracture diagnosis and prognosis. Led end-to-end development, training, and evaluation of clinical ML pipelines, from preprocessing to inference deployment on GPU clusters. Coordinated research experiments and supervised master students on deep learning workflows.

Deep Learning Engineer at FlowLogix GmbH

February 1, 2023 - October 15, 2025

Designed time-series processing pipeline from heterogeneous data sources using ETL. Built machine learning and deep learning models for parameter estimation in transportation simulations. Performed quantitative and statistical analysis (t-test, KS test, Z-test, etc.) to generate synthetic datasets with realistic distributions.

Student Research Assistant at Fraunhofer IPMS

June 1, 2021 - October 15, 2025

Maintained and extended data processing pipeline and visualization tools for nanoelectronics devices. Designed GUI and conducted unit testing in both frontend and backend.

Research Associate in Deep Learning at Ostfalia Hochschule, Wolfenbüttel

March 1, 2023 - Present

Developed CNN and Transformer-based pipelines for vertebral fracture diagnosis and prognosis from CT scans, achieving state-of-the-art performance with 82% AUROC. Finetuned Vision-Language models and multimodal architectures for clinical tasks. Led end-to-end development, training, and evaluation of ML pipelines from preprocessing to inference deployment on GPU clusters. Coordinated experiments and supervised master students on DL workflows.

Deep Learning Engineer at FlowLogix GmbH

February 1, 2023 - October 15, 2025

Designed time-series processing pipelines from heterogeneous data sources using ETL. Built ML and DL models for parameter estimation in transportation simulations. Performed quantitative and statistical analyses to generate synthetic datasets with realistic distributions.

Student Research Assistant at Fraunhofer IPMS

June 1, 2021 - October 15, 2025

Maintained and extended data processing pipelines and visualization tools for nanoelectronics devices. Designed GUI and conducted unit testing in frontend and backend.