Predictive Maintenance AI
Python
TensorFlow
Time Series
IoT
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Projects
Computer Vision Quality Control
PyTorch
OpenCV
Real-time Processing
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Manufacturing Analytics Platform
Pandas
Scikit-learn
Data Visualization
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About
I combine mechanical engineering expertise with machine learning to solve industrial challenges. My focus: predictive maintenance, computer vision quality control, and manufacturing intelligence systems that deliver measurable ROI.
Skills
Machine Learning
- TensorFlow & PyTorch
- Computer Vision
- Time Series Analysis
- Predictive Modeling
Engineering
- Mechanical Design
- Manufacturing Processes
- Industrial Automation
- Quality Systems
Data & Analytics
- Python & SQL
- Statistical Analysis
- Data Visualization
- Business Intelligence
Learning Log
December 15, 2024
Building a Real-Time Anomaly Detection System
Deep dive into creating a production-ready anomaly detection system using autoencoders for industrial IoT sensor data.
December 8, 2024
Understanding Transformer Architecture
Breaking down the attention mechanism and exploring how transformers revolutionized sequence modeling.
December 1, 2024
Key Takeaways: Pattern Recognition and Machine Learning
Summary and practical insights from Bishop's comprehensive ML textbook, focusing on probabilistic perspectives.
November 24, 2024
Computer Vision for Defect Detection
Implementation details of a CNN-based system for detecting microscopic defects in manufactured components.
November 17, 2024
Graph Neural Networks in Manufacturing
Exploring how GNNs can model complex relationships in supply chain and production line optimization.
November 10, 2024
Fast.ai Course Notes: Practical Deep Learning
Key lessons and code snippets from completing the Fast.ai practical deep learning course.
Get In Touch
Open to full-time opportunities and collaborative projects.