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santosh-shriyan/README.md

👋 Hi, I'm Santosh Shriyan

I'm an experienced Computer Vision Engineer with a strong foundation in Python, Deep Learning, and cloud-based process automation. I specialize in developing and deploying AI/ML solutions ranging from YOLOv8-based object detection and segmentation to super-resolution algorithms with practical integrations on AWS infrastructure for scalable, production-grade systems.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python Bash Script AWS Anaconda OpenCV Keras Matplotlib NumPy Pandas PyTorch scikit-learn Git TensorFlow Docker

🔧 Skills & Tools

🧠 Python, OpenCV, PyTorch, Tensorflow, Keras, Image Processing
☁️ AWS (EC2, S3), Docker, Linux Bash
🎯 YOLOv8(Segmentation, Detection), Super-Resolution, Object Tracking
🛠️ Embedded Systems, Electronics, 3D asset creation

📌 Projects

  • (peAR Tech) Mobile Video to 3D System(Flagship product): End-to-end development of a 3D asset generation pipeline using smartphone video input.
  • (peAR Tech) Dish Recommender system: A Non-Learning based recommender which utilises relational weights to create a multi-dimentional map.
  • (peAR Tech) Auto Scaling for AWS EC2: Created a custom load buffer sensing auto scaling system Deployed on a t3 micro instance.
  • (CSIR-CSIO) Vision-based Vehicle Detection and Tracking: A solo research project leveraging Python, OpenCV and machine learning for real-time tracking.

🎓 Certifications

Machine Learning with Python – IBM
Python for Data Science – IBM
Git & GitHub – Google
AWS Cloudfront – Coursera

📫 Reach me at: san.s.shriyan@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/santosh-shriyan/

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