Ashwin Joseph Kurian

India

@ashwinjoseph95

Machine Learning Engineer

Badges

Problem Solving
CPP
Python
Days of JS

Certifications

Work Experience

  • Software Engineer

    Ignitarium Technology Solutions•  December 2018 - Present

    Working currently as a Machine Learning Engineer in the AI/ ML Services Team and over time have got to work on: • Developing GUI using PyQT5 as well as trained and evaluated on MobileNet V2, ResNet, AlexNet, and Custom networks with and without ensembling for obstacle classification along railway tracks. • Attire detection platform, which does real time video analytics, that helps to ensure PPE of construction/Lab/Factory worker utilizing Mobilenet V1 architecture. • Customization of neural network architectures that are lightweight for deployment on micro-controllers. • Training and evaluation of Retinanet and Mobilenet architectures as well as Image Processing for detection and classification of Jointbars along Railway Tracks. Have worked on GUI development using Tkinter for GUI development. • Working on the flagship Voice Command Engine- Septra utilizing Audio Processing and Deep Learning architectures for research and development purposes. • Worked on defect detection and texture identification of footwear raw materials utilizing Image Processing, one-shot learning- Siamese network for the purpose of texture identification, and segmentation using unet architecture network for detecting other features. Was responsible for coordination with client-side engineers and deployment of solution at the client site. • Texture validation of Sand grains and Footwear industry raw materials using One Shot Learning Techniques as well as CNN classifier for classification. • Setting up Neonode ZForce Airbar sensor using SDK and determination of its use case as part of R&D.

  • Software Engineer

    SiFive•  December 2020 - March 2021

    Deputed from Ignitarium Technologies on contract (remote) at OpenFive (SiFive Group, USA). Worked on Python scripting, deployment of custom deep neural networks on simulation environments for FPGA, optimization of networks, and metric generations on emulator environments.

Education

  • Indian Institute of Information Technology and Management - Kerala

    Computer Science, MS•  June 2017 - April 2019

    Completed Post Graduation in Computer Science with specialization in Machine Intelligence.

  • Amal Jyothi College of Engineering, Kanjirapally

    Mechanical Engineering, B.Tech•  July 2013 - May 2017

Skills

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