Hi, I'm Md Norul Gofran
RL & Production ML Engineer | M.Sc. Data Science Graduate | FAU Erlangen-Nürnberg
Professional Experience
Student Researcher
Schaeffler Technologies AG & Co KG | Herzogenaurach, Germany
- Designed and benchmarked RL controllers (AC, SAC, TD3) for industrial Vapor-Compression Cycle systems
- Achieved 15% energy efficiency improvement with TD3 agent over traditional PID control
- Authored comparative analysis thesis on adaptive HVAC-R control using model-free RL
Junior Software Engineer
DataSoft Systems Bangladesh Limited | Dhaka, Bangladesh
- Developed scalable backend microservices (Django/FastAPI) for IoT-based Industrial Monitoring & Connected Vehicle Solutions
- Contributed to "Smart Traffic Solution" pilot using OpenCV for vehicle density detection
- Engineered automated anomaly detection pipelines using scikit-learn and PostgreSQL
Intern in R&D Team
Trust Bank Limited | Dhaka, Bangladesh
- Developed a customer churn prediction model using Random Forest & XGBoost
- Built interactive financial analytics dashboard using Tableau
Academic Background
M.Sc. in Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg | Erlangen, Germany
- Thesis: Comparative Analysis of RL-Based Adaptive Control for HVAC-R Systems
- Focus: Machine Learning, Reinforcement Learning, Deep Learning, Computer Vision
B.Sc. in Computer Engineering
Gujarat Technological University | Ahmedabad, India
- Foundation in algorithms, data structures, computer architecture, and networking
- Capstone: Smart Irrigation System using IoT sensors and cloud analytics
Technical Skills & Tools
Technologies and frameworks I work with across ML, engineering, and deployment
Programming Languages
Machine Learning
Deep Learning
Reinforcement Learning
Database
DevOps & Tools
Language
Web & Mobile Development
Featured Projects
A selection of my recent work in machine learning and data science
AutoFlow – AI Agent Platform
SaaS AutomationBuilt a production-scale AI decision system handling real-time requests across multiple tenants. Deployed ML pipeline with Redis caching, Celery task queues, and PostgreSQL.
AuroraWatch Pro
Mobile AppDeveloped a cross-platform mobile app visualizing real-time NOAA space weather data. Implemented 7-day forecasting, push notifications, and subscription management.
QGAN-MNIST Synthesis
Quantum MLImplemented hybrid Quantum-Classical GAN with Parameterized Quantum Circuit (PQC). generating 4x4 and 16x16 digit images using GPU-accelerated quantum simulation.
Spotify RL Recommender
Deep RLDeveloped DQN-based sequential decision system that learns optimal recommendations in real-time. Implemented experience replay and ε-greedy exploration for balancing exploration vs exploitation.
Route Planning for Visually Impaired
Computer VisionDeveloped AI-powered navigation system combining GPS routing with real-time sidewalk detection. Trained DeepLabv3+ (ResNet50) semantic segmentation on Cityscapes and Mapillary datasets.
Leben in Deutschland
Mobile AppAndroid app to help users prepare for the German citizenship test "Leben in Deutschland". Features practice questions, mock exams, and progress tracking.