Career

Curriculum Vitae

Experience

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.
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.
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.

2020 – 2023
M.Sc. in Data Science
RWTH Aachen University · Grade 1.8
Thesis: Multi-objective process parameter optimization with reinforcement learning.
2013 – 2017
B.Sc. in Computer Science and Engineering
BRAC University · CGPA 3.56
Thesis: machine learning for movie box-office success prediction.

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
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
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