Create your own Devfolio?
Ashwin_Ramesh

Ashwin Ramesh

Enthusiastic and Detail-Oriented Machine Learning Engineer with 1+ years of experience in building Machine Learning solutions and sophisticated Vision and NLP pipelines.
In previous professional roles, improved accuracy of existing models by 20% while maintaining real-time latency; identified and resolved a pipeline bottleneck which reduced latency by over 80%.
I really enjoy creating machine learning systems and building solutions on top of them. I have an aptitude for coding low-level Tensorflow and creating computer vision projects.

Projects

CrowdDistance

An interactive application to help maintain Social Distancing in the society.React, Node.js, PyTorch, OpenCV, Express.js, MongoDB, Microsoft Azure, Azure App Service, Leaflet.js

A

Spam SubmissionReact, Node.js, PyTorch, OpenCV, Java, Android Studio, C++, C, Express.js, Ruby on Rails, MongoDB, Fortran, Perl, Leaflet.js

Skills

TensorFlow
Machine Learning
NLP
Deep Learning
Computer Vision

Experience

  • Quantiphi - Machine Learning Engineer
    May 2019 - Present

    • Design a Computer Vision solution for Queue Management and Analytics for a global leader in the Theme Parks Industry

    • Create a Speech Recognition and Transcription pipeline via GCP services to process Spanish call recordings for surveillance purpose

    • Leverage NLP to translate Spanish text to English text and assess the threat level of conversations of incarcerated individuals

    • Develop a multi-faceted Video Analytics product for Attribute-based Person Retrieval and Restricted Area Movement

    • Lead the model development on Object Detection and Tracking, achieving 20% higher accuracy compared to existing models

    • Reduce the latency of an NLP solution by over 80% by resolving a bottleneck in text summarization

    • Completely design a Multi-Task Classification model using Low-Level Tensorflow 2 and ensure a structured codebase by building robust, efficient, and reusable modules

  • NextFirst - Machine Learning Intern
    May 2017 - July 2017

    • Create and design an Image Search Engine to assist Solidworks & Autocad Design Engineers in modeling and designing automobile manufacturing parts

    • Incorporate Computer-Aided Engineering with Computer Vision and Convolutional Neural Networks to build a 3-Dimensional image classification model and search algorithm

    • Develop the training and inference pipeline to retrieve previously designed manufacturing parts which can be utilized in future contracts