Shardul Ghuge
Software Engineer at aUToronto- Claim this Profile
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English Full professional proficiency
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Hindi Native or bilingual proficiency
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Marathi Native or bilingual proficiency
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Kannada Native or bilingual proficiency
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Urdu Native or bilingual proficiency
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French Elementary proficiency
Topline Score
Bio
Credentials
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Matlab Onramp
MathWorksNov, 2019- Sep, 2024 -
Project Management
FlashpointMay, 2018- Sep, 2024 -
Standard First Aid, CPR and AED
Action First Aid - Empowering People to Take Action!May, 2019- Sep, 2024
Experience
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aUToronto
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Canada
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Automotive
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1 - 100 Employee
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Software Engineer
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Aug 2021 - Present
• Developed a noise modelling technique for the car’s camera so that it can accurately map from noisy images to clean images via a Denoising Convolutional Neural Network (DnCNN) • Training the DnCNN requires vast amounts of data and thus custom built a Generative Adversarial Network (GAN) to create real-world noise models which greatly improved the performance of DnCNN • The team has built a SAE level 4 car which beats the current Tesla on-road models that are still level 2 and are thus the Consecutive winners of 2018, 2019, 2020, 2021 SAE and General Motors AutoDrive Challenge Show less
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Amazon
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Bangladesh
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Advertising Services
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1 - 100 Employee
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Software Engineer Intern
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May 2022 - Jul 2022
• Developed an automated workflow to determine the contents of an Amazon truck when it reaches the fulfillment center via a custom-trained ML model. Used TDR images to train on AWS Rekognition and deployed on AWS Lambda • Based on the results of the ML classification, spot-check jobs are created for a particular yard associate with a latency of less than 40 ms. This mechanism serves as the feedback loop to consistently improve the performance of the ML model • The automated workflow is projected to improve the efficiency of the loading/unloading process by 10% and save 120+ hours of manual audit time across a single fulfillment center per month Show less
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Content Turbine
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Canada
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IT Services and IT Consulting
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1 - 100 Employee
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Software Engineer
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Mar 2021 - Sep 2021
• Synthesized an ETL (Extract, Transform, Load) framework across several database platforms such as MySQL, PostgreSQL, Snowflake and BigQuery • Migrated the company’s financial records from Stripe to a Data Warehouse for the purposes of Analytical Querying to improve the revenue by 10% over 3 months. • Used Jamstack to decouple the frontend and backend operations of a website to allow for improved load times, easier scaling, lower operating costs and a streamlined developer experience • Synthesized an ETL (Extract, Transform, Load) framework across several database platforms such as MySQL, PostgreSQL, Snowflake and BigQuery • Migrated the company’s financial records from Stripe to a Data Warehouse for the purposes of Analytical Querying to improve the revenue by 10% over 3 months. • Used Jamstack to decouple the frontend and backend operations of a website to allow for improved load times, easier scaling, lower operating costs and a streamlined developer experience
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Deloitte Canada
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Canada
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Management Consulting
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100 - 200 Employee
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Software Engineer Intern
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May 2021 - Aug 2021
• Working with the Intelligent Automation team to save the firm’s time, resources and money via Artificial Intelligence and Cognitive technologies • Developed an Intent Recognition Algorithm which performs NLP on the user input and aids the service-bots decipher typos which increased the task completion efficiency by over 25% • Built and deployed a chatbot using the Microsoft Azure framework which interacts with the employees to address their queries such as applying for a leave and reporting a company expense • The chatbot is used firmwide on a daily basis and saves 100+ employee hours weekly Show less
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Education
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2019 - 2023
University of Toronto
Bachelor of Applied Science - BASc, Engineering Science -
2015 - 2019
Father Michael Goetz Secondary School
High School Diploma, Specialist High School Major (SHSM) in Technology
Community
