I hold a PhD in machine learning and am deeply passionate about developing innovative AI-algorithms based products and software solutions.
Aktualisiert am 02.03.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 04.03.2024
Verfügbar zu: 100%
davon vor Ort: 100%
Deep Learning
Python
Künstliche Intelligenz
Machine Learning
MATLAB
Docker
CI/CD
C++
Computer Vision
Image Processing
PyTorch
Database-Marketing
SQL
PostgreSQL
R
R shiny
English
Muttersprache
Sindhi
Muttersprache
German
Intermediate
French
Grundkenntnisse
Hindi
Fortgeschritten
Urdu
Fortgeschritten

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 years 8 months
2020-08 - now

Leading end-to-end development

Technical Lead and Data Scientist
Technical Lead and Data Scientist
  • Leading end-to-end development of imaging-based AI algorithms using agile methodologies
  • Orchestrating collaboration across teams to ensure unified AI algorithms and data science strategies
  • Working closely with stakeholders to grasp project specifics and align with business objectives
  • Designing, developing, deploying AI algorithms adhering to regulatory and compliance requirements
  • Analyzing data,and producing results and reports for different stakeholder presentations
  • The change management network representative, fostering adaptability and growth in the company
  • Presented a successful new Data Science strategy to the CEO office in a four-member team in 2020
  • Recognized with the Roche Inventors' Recognition Award for an innovative AI architecture in 2023.
Roche, A.G.
Basel
2 years 11 months
2017-10 - 2020-08

Led and represented for a Swiss-wide Consortium

Lead Data Scientist
Lead Data Scientist
  • Led and represented Basel for a Swiss-wide Consortium, serving as the lead datascientist
  • Collaborated with Swiss-wide collaborators for unified Algorithms, data modeling and analysis strategies
  • Conducted a gap analysis to harmonize, standardize and validate data using FAIR principles
  • Defined processes to ensure Swiss-wide data harmonization, data quality and interoperability with IT, data engineers and architects teams that built data warehouses in Basel in a secure computing environment
  • Worked closely with researchers, scientists, and product owners to understand their business needs
  • Translated research problems into data science questions
  • Designed, developed, and deployed AI algorithms of multiple data sources, including imaging, reports, etc.
  • Analyzed data, generated reports, and produced results for interpretation and evidence generation
  • Presented results to stakeholders for data-driven decision making
  • Oversaw operations involving IT and other vendors, managing hardware and software solutions
  • Played a pivotal role in advancing swiss-wide initiative and driving novel solutions.
University of Basel
Basel?PHB
2 years 2 months
2015-08 - 2017-09

Assumed responsibility for technology transfer

Big Data and Computer Vision Specialist
Big Data and Computer Vision Specialist
  • Assumed responsibility for technology transfer and explored new tools and technologies for fast, efficient, reliable, robust and scalable data analysis pipelines using state of the art big data technologies
  • Developed AI-based software solutions for large-scale 2D, 3D, and 3D+t image-based data analysis
  • Managed and analyzed big data (over a petabyte) in clusters and cloud computing systems
  • Engaged with vendors and hardware and software solution providers to identify optimal solutions
  • Established an HCS/HTA imaging platform for data analysis at FMI (a NIBR institute).
University of Zurich
Zurich
1 year 2 months
2014-06 - 2015-07

Supported in hit-to-lead optimization stages of projects

Imaging Data Scientist
Imaging Data Scientist
  • Supported in hit-to-lead optimization stages of projects as an imaging data scientist
  • Collaborated with various international customers and project managers to gather data requirements and
  • project needs for high-content screenings and image-based data analysis
  • Analyzed high-throughput datasets of various types sourced from multiple channels in 2D, 3D and 3D+t
  • Interpreted and presented results to project managers and customers for decision making
Evotec A.G.
Hamburg
1 year 10 months
2012-08 - 2014-05

Modified an existing image analysis workflow

Postdoctoral Research Scientist
Postdoctoral Research Scientist
  • Modified an existing image analysis workflow using machine learning and statistical analysis techniques for optimization and parallelization of large patient datasets.
NIH
Bethesd MD, USA
1 year
2011-09 - 2012-08

Worked on 3D images

Postdoctoral Research Scientist
Postdoctoral Research Scientist
  • Worked on 3D images using machine learning techniques for a wide variety of applications.
NIST
Gaithersburg, MD, USA
3 years 6 months
2007-10 - 2011-03

Developed an automated analysis system

PhD Researcher
PhD Researcher
  • Developed an automated analysis system for the identification of atherosclerotic lesion patterns using computer vision, signal processing and machine learning techniques.
Imperial College London
London, UK

Aus- und Weiterbildung

Aus- und Weiterbildung

2023:

Project Management, Scrum Courses


2013:

Coursera Courses, Machine Learning, Big Data, Data Science

Online


2011:

Computer Vision and Machine Learning

Imperial College London


2010:

MBA Courses

Imperial College Business School, London


2005:

Computer & Software Engineering

Masters of Eng

MUET, Jamshoro

Kompetenzen

Kompetenzen

Top-Skills

Deep Learning Python Künstliche Intelligenz Machine Learning MATLAB Docker CI/CD C++ Computer Vision Image Processing PyTorch Database-Marketing SQL PostgreSQL R R shiny

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • I hold a PhD in Computer Vision and Machine Learning and am deeply passionate about developing innovative AI algorithm-based products and software solutions using large-scale datasets sourced from various channels for data-driven decision-making. 
  • I ensure that AI algorithm-based digital products and solutions meet regulatory and compliance standards before deployment for end-users. 
  • Proficient in agile methodologies, I possess a demonstrated ability to collaborate with cross-functional, multicultural, and matrix organizations globally. 
  • My unwavering dedication to advancing digital innovation empowers me to drive meaningful outcomes in big data, data science, computer vision, and machine learning.


R&D and Soft Skills:

  • R&D in Big Data, Data Science, Machine Learning, Image and Signal Processing, and Computer Vision
  • Designing and validation methods for data analysis pipelines and AI / ML techniques
  • Software Engineering Principles
  • Data Interoperability and Harmonization
  • Presentations and writing Patents & Reports
  • Project, Product, and Change Management in Agile and Scrum frameworks


Computing Skills:

  • C++, Python, MATLAB, Bash, and R programming tools
  • PyTorch, Scikit-Image and Scikit-Learn, PySpark, OpenCV, CUDA, AI / ML tools
  • Git / GitHub, GitLab, BitBucket, Dkube, Docker, Singularity version control tools
  • Tableau, Matplotlib, R Shiny, Spotfire, visualization tools
  • PostgreSQL, SQL, and Redshift Databases
  • DataIKU, Databricks and other ETL and data transformation tools
  • Kanban, JIRA, Trello, Mural and Jamboard for project management tools
  • Windows, Mac, Linux, AWS and GCP Cloud and Cluster High-Performance Computing environments.

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

3 years 8 months
2020-08 - now

Leading end-to-end development

Technical Lead and Data Scientist
Technical Lead and Data Scientist
  • Leading end-to-end development of imaging-based AI algorithms using agile methodologies
  • Orchestrating collaboration across teams to ensure unified AI algorithms and data science strategies
  • Working closely with stakeholders to grasp project specifics and align with business objectives
  • Designing, developing, deploying AI algorithms adhering to regulatory and compliance requirements
  • Analyzing data,and producing results and reports for different stakeholder presentations
  • The change management network representative, fostering adaptability and growth in the company
  • Presented a successful new Data Science strategy to the CEO office in a four-member team in 2020
  • Recognized with the Roche Inventors' Recognition Award for an innovative AI architecture in 2023.
Roche, A.G.
Basel
2 years 11 months
2017-10 - 2020-08

Led and represented for a Swiss-wide Consortium

Lead Data Scientist
Lead Data Scientist
  • Led and represented Basel for a Swiss-wide Consortium, serving as the lead datascientist
  • Collaborated with Swiss-wide collaborators for unified Algorithms, data modeling and analysis strategies
  • Conducted a gap analysis to harmonize, standardize and validate data using FAIR principles
  • Defined processes to ensure Swiss-wide data harmonization, data quality and interoperability with IT, data engineers and architects teams that built data warehouses in Basel in a secure computing environment
  • Worked closely with researchers, scientists, and product owners to understand their business needs
  • Translated research problems into data science questions
  • Designed, developed, and deployed AI algorithms of multiple data sources, including imaging, reports, etc.
  • Analyzed data, generated reports, and produced results for interpretation and evidence generation
  • Presented results to stakeholders for data-driven decision making
  • Oversaw operations involving IT and other vendors, managing hardware and software solutions
  • Played a pivotal role in advancing swiss-wide initiative and driving novel solutions.
University of Basel
Basel?PHB
2 years 2 months
2015-08 - 2017-09

Assumed responsibility for technology transfer

Big Data and Computer Vision Specialist
Big Data and Computer Vision Specialist
  • Assumed responsibility for technology transfer and explored new tools and technologies for fast, efficient, reliable, robust and scalable data analysis pipelines using state of the art big data technologies
  • Developed AI-based software solutions for large-scale 2D, 3D, and 3D+t image-based data analysis
  • Managed and analyzed big data (over a petabyte) in clusters and cloud computing systems
  • Engaged with vendors and hardware and software solution providers to identify optimal solutions
  • Established an HCS/HTA imaging platform for data analysis at FMI (a NIBR institute).
University of Zurich
Zurich
1 year 2 months
2014-06 - 2015-07

Supported in hit-to-lead optimization stages of projects

Imaging Data Scientist
Imaging Data Scientist
  • Supported in hit-to-lead optimization stages of projects as an imaging data scientist
  • Collaborated with various international customers and project managers to gather data requirements and
  • project needs for high-content screenings and image-based data analysis
  • Analyzed high-throughput datasets of various types sourced from multiple channels in 2D, 3D and 3D+t
  • Interpreted and presented results to project managers and customers for decision making
Evotec A.G.
Hamburg
1 year 10 months
2012-08 - 2014-05

Modified an existing image analysis workflow

Postdoctoral Research Scientist
Postdoctoral Research Scientist
  • Modified an existing image analysis workflow using machine learning and statistical analysis techniques for optimization and parallelization of large patient datasets.
NIH
Bethesd MD, USA
1 year
2011-09 - 2012-08

Worked on 3D images

Postdoctoral Research Scientist
Postdoctoral Research Scientist
  • Worked on 3D images using machine learning techniques for a wide variety of applications.
NIST
Gaithersburg, MD, USA
3 years 6 months
2007-10 - 2011-03

Developed an automated analysis system

PhD Researcher
PhD Researcher
  • Developed an automated analysis system for the identification of atherosclerotic lesion patterns using computer vision, signal processing and machine learning techniques.
Imperial College London
London, UK

Aus- und Weiterbildung

Aus- und Weiterbildung

2023:

Project Management, Scrum Courses


2013:

Coursera Courses, Machine Learning, Big Data, Data Science

Online


2011:

Computer Vision and Machine Learning

Imperial College London


2010:

MBA Courses

Imperial College Business School, London


2005:

Computer & Software Engineering

Masters of Eng

MUET, Jamshoro

Kompetenzen

Kompetenzen

Top-Skills

Deep Learning Python Künstliche Intelligenz Machine Learning MATLAB Docker CI/CD C++ Computer Vision Image Processing PyTorch Database-Marketing SQL PostgreSQL R R shiny

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • I hold a PhD in Computer Vision and Machine Learning and am deeply passionate about developing innovative AI algorithm-based products and software solutions using large-scale datasets sourced from various channels for data-driven decision-making. 
  • I ensure that AI algorithm-based digital products and solutions meet regulatory and compliance standards before deployment for end-users. 
  • Proficient in agile methodologies, I possess a demonstrated ability to collaborate with cross-functional, multicultural, and matrix organizations globally. 
  • My unwavering dedication to advancing digital innovation empowers me to drive meaningful outcomes in big data, data science, computer vision, and machine learning.


R&D and Soft Skills:

  • R&D in Big Data, Data Science, Machine Learning, Image and Signal Processing, and Computer Vision
  • Designing and validation methods for data analysis pipelines and AI / ML techniques
  • Software Engineering Principles
  • Data Interoperability and Harmonization
  • Presentations and writing Patents & Reports
  • Project, Product, and Change Management in Agile and Scrum frameworks


Computing Skills:

  • C++, Python, MATLAB, Bash, and R programming tools
  • PyTorch, Scikit-Image and Scikit-Learn, PySpark, OpenCV, CUDA, AI / ML tools
  • Git / GitHub, GitLab, BitBucket, Dkube, Docker, Singularity version control tools
  • Tableau, Matplotlib, R Shiny, Spotfire, visualization tools
  • PostgreSQL, SQL, and Redshift Databases
  • DataIKU, Databricks and other ETL and data transformation tools
  • Kanban, JIRA, Trello, Mural and Jamboard for project management tools
  • Windows, Mac, Linux, AWS and GCP Cloud and Cluster High-Performance Computing environments.

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