Rakshitha Ravi

Experience

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  Swapnasrushti

  Jan 2019 - now

  Founder

  It is an illustration brand where we hope to provide the best creative experience through artistic expression. We believe happiness lies in creating a world that does not exist.https://swapnasrushti.org

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  McGill University

  Sept 2019 - Apr 2022

  Worked on an individual module within the IMAGE project server to recognize and capture visual artworks like landscape paintings of my own using computer vision and deep learning techniques and collaborated with the audio rendering engineer to convert these results into spatialised audio and haptic outputs to help blind people use this as a chrome plug-in.Conference - A demo version of this module was presented at the NFB 2021, United States from 6-10 July 2021Check example 8 on this link to experience it ! https://image.a11y.mcgill.ca/pages/demo.html Show less RF breast cancer detection research group - BCD analysis teamWorked with Clinical trial based and phantom based data to find defects in the system and possible loopholes. Discovered a possible loophole the device might have and suggested a possible solution using neural networks to minimise it, but had its own challenges. So, worked further on it outside this system with a hope to better optimise the existing devices and published a paper titled "Efficient Breast Calcifications Detection using Support Vector Machine Learning and Convolutional Neural Networks" Show less As a Mentor, I helped high school and CEGEP Students with projects related to artificial intelligence. A few of the award winning projects include 1. AI for the elderly ( Feb 2020) - a virtual assistant that is designed to be integrated to a smart home system . This project was based on simple neural networks 2. Alzheimer's detection device ( dec 2019 ) - Used pertained models to track gait movements and ask simple memory based questions and use the data to predict a possibility of developing Alzheimer's . Show less

  • RAISE Lab - Prof. AJung Moon

    Sept 2021 - Apr 2022

  • Shared Reality Lab, Machine Learning Research Intern - Prof. Jeremy Cooperstock

    Apr 2021 - Sept 2021

  • Co-Chair Plumbers Student Design

    May 2020 - Apr 2021

  • Data Analysis Research Assistant - Prof. Mark Coates

    Mar 2019 - Apr 2020

  • Tech Mentor WiE

    Sept 2019 - Mar 2020
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  Engineering Undergraduate Society of McGill University

  Sept 2019 - Apr 2020

  Outreach subcommittee -SEAM (Sustainability in Engineering at McGill)

  Reached out to event organizing committees, and student design teams to provide solutions that reduce waste and emissions and advised groups on how to implement changes for a sustainable environment and how to continue doing so in the future.

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  McGill Design Consultancy

  Oct 2019 - Dec 2020

  Head Graphic Designer

  Designed logos for various clubs and our startup community in Montreal and surrounding areas.

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  Koo India

  Mar 2021 - May 2021

  Machine Learning Engineer

  -Worked on sentiment analysis models for abusive language detection -Worked on face recognition and detection using public data sets to aid fake profile detection on the microblogging site

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  Acrylic Robotics

  May 2021 - Aug 2021

  ML Software Developer

  Worked on developing an automated pipeline for image modification & feature detection using generative adversarial networks and computer vision techniques implemented to extract brushstrokes and reproduce paintings (neural painters )

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  TechInsights

  Jan 2022 - Apr 2023

  Machine Learning Research Scientist

  -Responsible for developing proof-of concepts for Image processing of PCBs to identify and classify different components and extract its features using different techniques and algorithms like Yolo, OCR, SIFT,SURF, Edge & Contour detection and barcode decoders -Supported the software development team to develop different features of kimera,an image storing, retrieving and processing system to support reverse engineering processes and coded the backend for their annotation tool

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  Domtar

  May 2023 - Jan 2025

  Data Analyst, IT Internal Audits

  - Automated several SOX controls and mandates by managing end-to-end analytic processes, from request handling, business validation, data ETL, testing, ACL scripting (SQL) and comprehensive documentation post UAT to improve auditor efficiency over 90 percent by developing software robots to run in a click.- Responsible for handling and analysing large volumes of data from different databases such as various SAP systems, JDE, BAAN, Autoprod, LIMS and in-house databases while also working with python and RPAs (UiPath) for ad-hoc requests from the finance team.- Developed and implemented various projects in the Fraud AP program to detect fraud in various types of transactions and automate visualisations using BI tools, for improved decision-making processes.- Researched, analyzed, and presented proposals to the senior management to solve current tool challenges using latest technologies, based on dimensions including cost, end-user impact, implementation challenges and overall benefits. Show less

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  Crédit Agricole CIB

  Jan 2025 - now

  Associate - Data Scientist/auditor, IT and cybersecurity ( IGE)