AI Expert with 8 years of experience across several industries. Starting from design to Code and all the way to a strong product, till the end.
Aktualisiert am 02.01.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 02.01.2025
Verfügbar zu: 100%
davon vor Ort: 100%
Python
Künstliche Intelligenz
Software
Beratung
Managementberatung
MLOPS

Einsatzorte

Einsatzorte

Berlin (+200km) Cologne (+200km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 Jahre
2023-01 - heute

various Projects

Senior Associate
Senior Associate
on request
Berlin
6 Monate
2021-11 - 2022-04

Developed end-to-end clickstream data analytics pipeline

Head of Data Science & A.I
Head of Data Science & A.I
  • Developed end-to-end clickstream data analytics pipeline using Amazon Kinesis on DEV environment.
  • Initiated Solution architecture in early stage product.
  • Created a dynamic flowchart that communicated open decision points with the product team, developers, marketing & UI/UX designers before launch.
Neural Jam Gmbh
Bablesberg, Potsdam, Berlin
5 Monate
2021-06 - 2021-10

Developement python API

Sr. Machine Learning Engineer
Sr. Machine Learning Engineer
  • Developed python API on top of Amazon Textract, DUS and Elastic Search for Key Information Extraction on business PDF documents and contribute to larger product
Flowciety Gmbh
Berlin
9 Monate
2020-09 - 2021-05

Conducting SQL query migrations

Data Scientist
Data Scientist
  • Conducting SQL query migrations by aggregating several versions of the platform running in 50 countries, to 1 global platform.
  • Developed a Recommendation Engine using Python machine learning tools to assist carrier managers to link shippers to carriers, optimizing price & suitability.
  • Assisted in Data Strategy for 2021 for Saloodo to manage 30000 Shippers and connected them to 30000 Carriers.
Saloodo! - A DHL group company
Remote - Cologne
2 Jahre 11 Monate
2016-06 - 2019-04

Development of a web service

Machine Learning Engineer
Machine Learning Engineer
  • Developed satellite image segmentation & solar panel design projection web service, formulated roof ridge prediction as an image-to-image translation problem and developed a Generative Adversarial Network (pix2pix) achieving an IOU of 0.88 for multi-class semantic segmentation of roofs, trees, chimneys, and shadows.
  • Formulated Roof ridge prediction & panel placement as image to image translation problem, trained Conditional Generative Adversarial Networks (DCGAN) to synthesize roof-ridges & panels form learned distributions.
  • Developed models on proprietary news and social media sentiment data for stock trading system traded NY S&P500 with a Sharpe ratio of 3.32. (Time Series )
  • Developed hourly footfall prediction system using Poisson Regression for a theme park located in 26 locations in the U.S with a MAPE of 8%. 
  • Modernising data from legacy systems and recommended staffing for all locations based on the prediction, optimised service cost vs delivery (Time Series Analytics, Digitalisation).
Red Buffer
Islamabad, Pakistan

Aus- und Weiterbildung

Aus- und Weiterbildung

4 Jahre 6 Monate
2012-08 - 2017-01

Computer Science

Bachelor, NUCES FAST, Islamabad
Bachelor
NUCES FAST, Islamabad

Position

Position

  • FullStack Software Engineer

Kompetenzen

Kompetenzen

Top-Skills

Python Künstliche Intelligenz Software Beratung Managementberatung MLOPS

Produkte / Standards / Erfahrungen / Methoden

Software Engineering
Python
Scikit-Learn
NumPy
Pandas
Machine Learning
MLOPs
Leadership
Django
Docker
Data Visualization
Predictive Modelling
Generative Modelling
Tensorflow
Keras
Google Cloud Platform
AWS
scikit-image
SQL
NLP
spaCy
VertexAI
Remote Sensing
Satellite Image Analysis
Information Indexing
GPT3
Intelligent Document Processing
Looker Studio
UML
Technical Consulting

Profile

  • FullStack Software Engineer with 5+ years of International experience in conceptualising, formulating, developing and Deploying Machine Learning applications across industries and geographies. 
  • Proficient in predictive modelling, Data processing, and algorithm development in multiple programming languages. Capable of creating, developing, testing, and deploying microservices that build and augment businesses using cloud native technologies & ML

Einsatzorte

Einsatzorte

Berlin (+200km) Cologne (+200km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 Jahre
2023-01 - heute

various Projects

Senior Associate
Senior Associate
on request
Berlin
6 Monate
2021-11 - 2022-04

Developed end-to-end clickstream data analytics pipeline

Head of Data Science & A.I
Head of Data Science & A.I
  • Developed end-to-end clickstream data analytics pipeline using Amazon Kinesis on DEV environment.
  • Initiated Solution architecture in early stage product.
  • Created a dynamic flowchart that communicated open decision points with the product team, developers, marketing & UI/UX designers before launch.
Neural Jam Gmbh
Bablesberg, Potsdam, Berlin
5 Monate
2021-06 - 2021-10

Developement python API

Sr. Machine Learning Engineer
Sr. Machine Learning Engineer
  • Developed python API on top of Amazon Textract, DUS and Elastic Search for Key Information Extraction on business PDF documents and contribute to larger product
Flowciety Gmbh
Berlin
9 Monate
2020-09 - 2021-05

Conducting SQL query migrations

Data Scientist
Data Scientist
  • Conducting SQL query migrations by aggregating several versions of the platform running in 50 countries, to 1 global platform.
  • Developed a Recommendation Engine using Python machine learning tools to assist carrier managers to link shippers to carriers, optimizing price & suitability.
  • Assisted in Data Strategy for 2021 for Saloodo to manage 30000 Shippers and connected them to 30000 Carriers.
Saloodo! - A DHL group company
Remote - Cologne
2 Jahre 11 Monate
2016-06 - 2019-04

Development of a web service

Machine Learning Engineer
Machine Learning Engineer
  • Developed satellite image segmentation & solar panel design projection web service, formulated roof ridge prediction as an image-to-image translation problem and developed a Generative Adversarial Network (pix2pix) achieving an IOU of 0.88 for multi-class semantic segmentation of roofs, trees, chimneys, and shadows.
  • Formulated Roof ridge prediction & panel placement as image to image translation problem, trained Conditional Generative Adversarial Networks (DCGAN) to synthesize roof-ridges & panels form learned distributions.
  • Developed models on proprietary news and social media sentiment data for stock trading system traded NY S&P500 with a Sharpe ratio of 3.32. (Time Series )
  • Developed hourly footfall prediction system using Poisson Regression for a theme park located in 26 locations in the U.S with a MAPE of 8%. 
  • Modernising data from legacy systems and recommended staffing for all locations based on the prediction, optimised service cost vs delivery (Time Series Analytics, Digitalisation).
Red Buffer
Islamabad, Pakistan

Aus- und Weiterbildung

Aus- und Weiterbildung

4 Jahre 6 Monate
2012-08 - 2017-01

Computer Science

Bachelor, NUCES FAST, Islamabad
Bachelor
NUCES FAST, Islamabad

Position

Position

  • FullStack Software Engineer

Kompetenzen

Kompetenzen

Top-Skills

Python Künstliche Intelligenz Software Beratung Managementberatung MLOPS

Produkte / Standards / Erfahrungen / Methoden

Software Engineering
Python
Scikit-Learn
NumPy
Pandas
Machine Learning
MLOPs
Leadership
Django
Docker
Data Visualization
Predictive Modelling
Generative Modelling
Tensorflow
Keras
Google Cloud Platform
AWS
scikit-image
SQL
NLP
spaCy
VertexAI
Remote Sensing
Satellite Image Analysis
Information Indexing
GPT3
Intelligent Document Processing
Looker Studio
UML
Technical Consulting

Profile

  • FullStack Software Engineer with 5+ years of International experience in conceptualising, formulating, developing and Deploying Machine Learning applications across industries and geographies. 
  • Proficient in predictive modelling, Data processing, and algorithm development in multiple programming languages. Capable of creating, developing, testing, and deploying microservices that build and augment businesses using cloud native technologies & ML

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