Priyal George

• Dynamic and motivated engineer with an experience of 5 years in Software domain.
• Strong knowledge in Python
• Handled roles as developer, AI/ML Engineer, DevOps Engineer, Automation tester, etc.
• Implement entire ML pipeline from data pre-processing and feature engineering, model selection, model building to model evaluation and deployment
• Experience in web development using Django, Flask, etc
• Worked with version control tools such as Git
• Good Communication skills, presentation skills, problem solving and analytical skills.
• Also worked in Azure Cloud, DevOps, CI/CD

• People counting with tracking and Gun detection
  Description: Product of a Canadian company. The device is a security camera device that tracks and count the people entering and exiting a barrier. The device can also give alert when an open gun is detected.
  Role: Create gun dataset. Train person and gun detection models with best possible architecture available for hardware device. Implement
  the optimized and finetuned model to Nvidia board.
  Technology Used: Python, Pytorch, Jupyter notebook, OpenCV, TensorRT. Used GTX-graphics to train model. Tested the model using
  Nvidia’s board.
• Car Accessory project
  Description: Product of a German car accessories company. The camera placed on the backside of vehicle captures the video input which is given to the neural computing reference board that detects the vehicles such as bus, truck, car, motorcycle, bicycle, and also pedestrians in real time.
  Role: To train model by transfer learning using caffe and tensorflow.
  Technology Used: Caffe, TensorFlow, Python, Jupyter notebook, OpenCV, TensorRT. Used GTX-graphics to train model. Tested the model using Nvidia’s board.
• TV Webcam
  Description: The camera captures the video input which is given into the Neural computing board that detects the Face in realtime and crops
  it. The face Detection is done using Caffe model.
  Role: To train the Caffe model for Face detection.
  Technology Used: Caffe, Python, Jupyter notebook, OpenCV. Used GTX-graphics to train model. Tested the model using intel’s Neural
  Computing Stick(NCS).
• Parcel drop Box project
  Description: Product of a Canadian company that provides various electronic and network connected devices. The network service of their Parcel secure box product is where our role comes into play.
  Role: DevOps Engineer: To build Azure infrastructure for the project. And Setup monitoring services for NOC team.
  Technology Used: Azure infrastructures needed for running the project. Setup 3 rd party monitoring services using technologies like Grafana, Prometheus, Alert-Manager, etc.

Previous Company Projects

• Judex
  Description: Judex is a Dutch project for finding the lawyers for specific jurisdictions.
  Role: To build up the project from the scratch and work in it.
  Technology Used: Django, Cms, jQuery, Ajax, HTML, CSS
• DevoteeMatch
  Description: DevoteeMatch is a matrimonial site for ISKCON devotees.
  Role: Keep the site updated with new features provided by client. Also, to work on new version of the same site.
  Technology Used: Django, Cms, Angularjs, Django-REST, HTML
• Twnel
  Description: Twnel is a Columbian website and android app for business chats.
  Role: Automation Tester: To build the automation test code for android app.
  Technology Used: Calabash-Cucumber, Ruby, Gradle, Allure-Cucumber