Hasibul Karim Shanto

Hasibul Karim Shanto

Industrial and Production Engineering Graduate Researcher in Machine Learning, Reinforcement Learning and Operations Research

Motivated researcher with a strong interest in Operations Research integrated with Machine Learning (ML) and Reinforcement Learning (RL) for advanced and efficient decision-making. My goal is to create intelligent, interpretable and data-driven solutions for complex real-world problems using Operations Research techniques, Machine Learning and Reinforcement Learning.

About

I am an Industrial and Production Engineering graduate with a strong interest in Operations Research and its integration with Machine Learning and Reinforcement Learning for advanced, efficient decision-making. I am skilled in designing interpretable, adaptive and data-driven decision systems. I have completed my BSc in Industrial and Production Engineering at Bangladesh University of Engineering and Technology (BUET), volunteered in research with an adjunct professor at York University, Canada and currently work as a Solution Engineer at an USA-based company M2SYS Technology.

My research bridges Machine Learning, Reinforcement Learning and Operations Research to improve decision-making and optimization in complex systems. My goal is to focus my research on creating intelligent, interpretable and data-driven solutions for complex problems using the synergy of Machine Learning, Reinforcement Learning, Operations Research and Optimization.

Education

BSc in Industrial and Production Engineering at Bangladesh University of Engineering and Technology (BUET)

March 2018 – May 2023
Dhaka, Bangladesh
GPA: 3.53 / 4.0

Thesis: Prescription Error Detection: A Natural Language Processing Approach Combined with Outlier Detection Method

Experience

Solution Engineer — M2SYS Technology | CloudApper AI

May 2025 – Present • Atlanta, GA, USA (Remote)
  • Built custom SaaS apps for business and management needs using UKG and CloudApper Platform to automate business processes and improve operational efficiency.
  • Developed a software solution to automate resume parsing and candidate communication, streamlining the hiring pipeline.
  • Built a custom HR system that centralized applicant tracking and interview scheduling.
  • Developed a custom payroll calculation solution for a client with employees more than 20000.

Industrial Trainee — Square Pharmaceuticals PLC.

2022 • Dhaka, Bangladesh
  • Analyzed the spare parts inventory of the production unit.
  • Proposed and developed a multi-criteria classification model of spare parts for spare parts management.

Featured Research

Multi-Armed Bandits-Based Optimization of Decision Trees

MAB-based pruning approach for a dynamic and probabilistic way of decision tree pruning, in turn optimizing decision tree-based model.

Decision Tree Pruning Optimization Multi-Armed Bandits Reinforcement Learning

Skills

Programming Languages

Python C MATLAB JavaScript SQL

ML/DL Frameworks

TensorFlow PyTorch Keras scikit-learn

OR/Optimization Tools

Gurobi CPLEX

Data Manipulation & Visualization

Pandas NumPy Matplotlib Tecplot 360 MS Excel

AI Technologies

Natural Language Processing (NLP) Large Language Models (LLMs)