Machine Learning Scientist mit langjährige Erfahrung in Bildverarbeitung, Computer Vision und Bildgebenden Verfahren
- Verfügbarkeit einsehen
- 2 Referenzen
- 95€/Stunde
- CB2 9DA Cambridge
- auf Anfrage
- hi | en | de
- 15.07.2024
Kurzvorstellung
Auszug Referenzen (1)
"I worked with M. on multiple projects. He has deep expertise in computer vision and LLMs. He combines theory, engineering, and business skills."
2/2024 – 7/2024
Tätigkeitsbeschreibung
• Independent contractor working on computer vision and AI projects.
• Deployed fine-tuned LLM models for generation of quiz question banks.
• Demonstrated the use of NeRFs for 3D reconstruction of objects.
• Prepared presentation decks to raise early stage project funding.
C++, Computer Vision, CUDA, Langchain, Large Language Models, Python
Qualifikationen
Projekt‐ & Berufserfahrung
2/2024 – 7/2024
Tätigkeitsbeschreibung
• Independent contractor working on computer vision and AI projects.
• Deployed fine-tuned LLM models for generation of quiz question banks.
• Demonstrated the use of NeRFs for 3D reconstruction of objects.
• Prepared presentation decks to raise early stage project funding.
C++, Computer Vision, CUDA, Langchain, Large Language Models, Python
10/2023 – 12/2023
Tätigkeitsbeschreibung
• Independent contractor working on CT image processing for MyMako.
• Translated image processing code from Python to C++.
• Developed unit testing suite for image processing code using CTest.
• Packaged and deployed C++ application into a Docker container for further integration testing.
Used: C++, CTest, CMake
Bildverarbeitung, C++, Computertomographie (CT)
11/2021 – 10/2023
Tätigkeitsbeschreibung
• Led a team of three engineers on a Generative AI project to generate CT scans using diffusion models.
• Developed transformer based methods for detection and segmentation of lung tumours.
• Using graph neural networks for analysis of gigapixel histopathology images.
• Built data pipelines to quality check radiological data and reduce disk based operations and storage by 30%.
• Led interactions with clinical, technical and executive stakeholders.
• Read and summarised research papers on medical imaging and AI to
encourage discussion and indemnify areas for growth.
• Designed and planning studies to assess the clinical and technical performance of our developed methods.
• Prepared and submitting scientific articles and conference contributions.
• Delivered presentations about deep learning and our work at both internal and external venues.
• Hired, onboarded, and mentored of multiple junior engineers and non-technical employees.
Bildverarbeitung, CUDA, Faltendes Neuronales Netzwerk (CNN), Maschinelles Lernen, Pytorch, Transformer, Projektmanagement (IT), Python, Technische Projektleitung / Teamleitung, Computertomographie (CT)
6/2021 – 11/2021
Tätigkeitsbeschreibung
• Achieved 6dB improvement in signal quality of low-dose PET scans using deep CNNs.
• Achieved 80% tumour segmentation accuracy in head/neck PET-CT images.
• Delivered presentations on novel neural network frameworks to internal team members.
Forschung & Entwicklung, Bildverarbeitung, Faltendes Neuronales Netzwerk (CNN), Pytorch, Python, Computertomographie (CT)
10/2018 – 11/2021
TätigkeitsbeschreibungDevelopment of ML models for Ct image processing
Eingesetzte QualifikationenComputer Vision, Data Science, Python, Pytorch
Ausbildung
Universität Erlangen-Nürnberg
Erlangen
Technische Universität München
München
University of Hong kong
Hong Kong
Weitere Kenntnisse
1. Generative AI
2. LLMs
3. Deep Learning
Persönliche Daten
- Hindi (Muttersprache)
- Englisch (Fließend)
- Deutsch (Gut)
- Europäische Union
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