Software Development Engineer

Rate, USD
Not specified
Work schedule
Full Time,
Language skills
English, Hindi
Available for Hire
Yes
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About me

Coding novice with a flair for the unexpected. Ready to dive into the tech adventure, turning bugs into butterflies. Let’s craft wonders together! 🚀💻


Professional area



Education

08/2017 - 05/2019 Masters of science in Computer Science @ University of Illinois at Chicago
08-2013-07-2017 Bachelor of Engineering in Computer Science @ Visvesvaraya Technological University

Experience

09-2020-03-2022 Software Development Engineer @ Amazon

Part of the A4PC (Alexa for PC) team responsible for creating the Alexa app for Windows PCs & Laptops.
Developed and implemented numerous features on the A4PC app including Smart home integration, groups / favorites classification of devices and show mode for capable devices.
Technologies & Tools used – C#, React, Typescript, Jenkins, GraphQL, Redshift, Cloud watch.

03/2020 - 09/2020 Cloud Full Stack Engineer @ Teradata

Part of the cloud solutions team responsible for building integrations with companies for enhanced analytics and querying.
Built a pipeline for automated resource creation; enabling quicker dev set up and customer testing for clients.
Technologies & Tools used : Microsoft Azure, Kubernetes, Python, Typescript.

06/2018 - 07/2018 Data Science Intern @ Flutura Decision Sciences and Analytics

Part of the Flutura Data Science team involved in developing algorithms for detection of anomalies in Time Series data. Successfully developed and implemented an algorithm for “Stratification” under the Statistical Process Control Rules. Technologies & Tools used: Python, PostgreSQL, Jupyter.

07/2016 - 08/2016 Software Engineering Intern @ ScaleneWorks People Solutions LLP

Part of the ScaleneWorks and IIM- Bangalore team involved in the ETL, Hypothesis and Analysis phases of the Offer Renege Prediction
project.
Actively engaged in the collection of the Offer database from the customer’s recruitment and HR systems and performed ETL into the predictive analysis database.
Technologies & Tools used: Python, Machine Learning (Decision Trees ,Logistic Regression), SQL.


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