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Curriculum Vitae

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  1. 2023 – present

    Machine Learning Engineer

    IconPro GmbH

    Research on process parameter optimization with reinforcement learning, including RL environments built on predictive surrogate models, and on explainable AI for interpreting process states. Builds AutoML software on a Kubernetes microservice architecture, with Spark training pipelines and data analysis for clients.

  2. 2020 – 2023

    Student Software Developer (part-time)

    IconPro GmbH

    Built the backend of an AutoML product: pre-processing, prediction and post-processing pipelines, automatic model ensembling, and feature importance. Also built a React interface and CI/CD cloud deployment.

  3. 2017 – 2019

    Executive Engineer

    Meghna Group of Industries, Bangladesh

    Led IoT projects and built a scalable IoT platform with a live dashboard for tracking and monitoring a vehicle fleet of more than 2,000 trucks.

  1. 2020 – 2023

    M.Sc. in Data Science

    RWTH Aachen University · Grade 1.8

    Thesis: Multi-objective process parameter optimization with reinforcement learning.

  2. 2013 – 2017

    B.Sc. in Computer Science and Engineering

    BRAC University · CGPA 3.56

    Thesis: machine learning for movie box-office success prediction.

  1. 2025

    Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes

    Akshay Paranjape, Nahid Quader, Lars Uhlmann, Benjamin Berkels, Dominik Wolfschläger, Robert H. Schmitt, Thomas Bergs

    Applied Sciences (MDPI), 15(13), 7279

  2. 2017

    A machine learning approach to predict movie box-office success

    Nahid Quader, Md. Osman Gani, Dipankar Chaki, Md. Haider Ali

    20th International Conference of Computer and Information Technology (ICCIT), IEEE, pp. 1–7

  3. 2017

    Performance evaluation of seven machine learning classification techniques for movie box office success prediction

    Nahid Quader, Md. Osman Gani, Dipankar Chaki

    3rd International Conference on Electrical Information and Communication Technology (EICT), IEEE, pp. 1–6

Abstracts and links →

  • Machine learning
  • Reinforcement learning
  • Automated machine learning
  • Explainable AI
  • Python
  • PySpark
  • React
  • Kubernetes
  • RabbitMQ