Aishwarya Ashok

Experience

• 

  Freelance

  Aug 2016 - May 2020

  Social Media and digital marketing
• 

  Nitte Meenakshi Institute of Technology

  Aug 2016 - Feb 2019

  Research Assistant

  Worked in MEMS research lab and also worked on Student satellite in B.E

• 

  Bharat Electronics Limited

  Jun 2017 - Jul 2017

  Associate

  As part of the internship, learnt and worked in core electronics manufacturing like PCB and various electronics components (Chips, transistor, resistors, capacitors etc). Besides learnt the full business operations of any organization like understanding marketing, purchase and HR

• 

  HP

  Jun 2019 - Aug 2019

  Customer Service Representative

  Worked closely with customers taking in their request and troubleshoot to solve computers troubles.

• 

  Equal1

  May 2020 - Sept 2020

  Data Scientist

  Deep learning is getting extensively useful for the modern day applications. Amongst all the neural networks Convolution Neural Network (CNN) is widely preferred to do image recognition & classification, facial detection & recognition etc. CNN generally have high computational capability, consume large power and memory space making it unsuitable for direct hardware implementation. In this thesis project, Quantisation model is explored for easy hardware implementation. A model with Quantization Aware Training and Post Quantization are used on MNIST, Fashion-MNIST and CIFAR-10. DoReFa-Net is used on CIFAR-10 dataset to explore trad-off between the different bit integer-point and accuracy achieved by them. Shallow architecture is used as the main intention of the thesis to implement the model on hardware. Show less

• 

  Iarnród Éireann Irish Rail

  Oct 2020 - now

  • Automation Signalling Engineer

    Oct 2022 - now

  • Graduate Engineer

    Oct 2020 - Sept 2022