Hi, I'm Md Norul Gofran
ML & Production AI 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
Languages
Deep Learning & GenAI
RL & Machine Learning
Backend & MLOps
Databases & Vector Stores
Frontend and Mobile
Natural Languages
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.
Bangla Fast RAG
AI / NLPA fast and efficient Retrieval-Augmented Generation (RAG) system designed specifically for the Bengali language, leveraging modern LLMs and vector search.