Akbar Moshur alam - AI Expert & IT Project Manager

Braunschweig, Germany

Experience

Jul 2023 - Present

2 years 7 months

Managed multiple global IT projects with cross-functional teams, ensuring adherence to schedule, scope, budget, and legal requirements
Collaborated with domain architects and system architects to develop solutions
Defined global rollout strategies for brands at different locations

May 2023 - Present

2 years 9 months

Aaria is an AI-powered SaaS company offering industrial AI solutions. The solutions target both SMEs and large enterprises
Advised clients on project management and data science

Oct 2022 - Apr 2023

7 months

Developed a data science strategy
Established data integration and the ETL process for log data from the internal file share to ELK
Built predictive models for shear tests on ultrasonic welding machines
Built predictive models for maintenance times of soldering systems

Mar 2021 - Sep 2022

1 year 7 months

Provided actionable insights from time series and analytics data for process optimization using statistical methods and dashboard tools like Power BI
Conducted predictive analytics
Developed a reinforcement learning system to optimize the milking robot
Supported the design and implementation of the data infrastructure

Oct 2019 - Feb 2021

1 year 5 months

Developed strategy and roadmap for establishing an AI system for online shops
Led cross-functional teams
Managed projects using agile methods combined with CRISP-DM
Recruited and mentored new talent (Data Scientists, Data Engineers, and working students)
Managed stakeholders and translated technical and scientific information into business context
Assessed and developed strategies to improve data quality
Developed BuyBox models for marketplace sellers
Applied machine learning for intelligent NLP-based solutions
Applied machine learning for product and filter ranking

May 2019 - Aug 2019

4 months

Prototyping an analytics bot model to detect anomalies and interesting samples from spending data by implementing unsupervised machine learning methods and a recommendation system
Integrating the methods into the application

Nov 2018 - Mar 2019

5 months

Developing a model and overall system with a deep neural network to detect anomalies from measurement data that could not be realized during the process
Implementing the deep neural network with an LSTM autoencoder to analyze univariate and multivariate time series

Mar 2018 - Oct 2018

8 months

Developing a Docker container-based microservice data aggregation service for the big data ecosystem
Preprocessing measurement data (MDF) for geo-map-based applications
Designing a deep learning-based data analysis application to detect good measurements and learn from user inputs
Integrating MATLAB applications into the online platform
Creating a demo application to explain connectivity within the platform with IoT devices
Delivering technical presentations and creating technical documentation
Continuing development of a data aggregation application for measurement data (MDF) as a working student

Sep 2016 - Mar 2018

1 year 7 months

Programming the server to collect metadata
Developing a web interface to create harvesting rules with drag-and-drop functionality
Developing conversion rules