
Nikhil Agrawal
SDE Intern

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About me
Software Engineer @ Amazon | NIT-Bhopal'22 | Java | Spring Boot | AWS
Education

Maulana Azad National Institute of Technology
2018 - 2022Bachelor of Technology - BTech Electrical, Electronics and Communications Engineering
Experience

SpeEdLabs
May 2021 - Jul 2021SDE InternThe job required working with APIs, MySQL database, Node.js, Express.js and react.js. I learnt a lot of skills during this internship which will definitely help in my near future.

Amazon
Jan 2022 - now1. Enhanced AmazonMiniTv Android TV App 1. Developed the TrickPlay feature for the Android TV player using the Glide library for caching thumbnail images and Jetpack Compose for preview 2. Resolved P0 bugs and critical issues to enhance app performance2. Designed and Implemented DriftDetectorService from scratch and delivered endto end 1. Successfully detected drift in over 2 Million continuous metrics in real time with 90% precision thus significantly improving system reliability and performance of multiple services 2. Delivered with exceptional 95% unit test coverage 3. Leveraged Spring Boot + AWS ECS Fargate + Kinesis to stream continuous data (1+ TB/day), hosted ML models on SageMaker serverless endpoints as a flask service for drift detection. Hosted PostgreSQL server on EC2 and utilised Lambda + API Gateway for Drift Analysis Dashboard backend 4. Mentored Junior SDEs in developing real time Notification application using SNS + SES + Lambda which identifies and notify the correct team reducing average response time to drift incidents by 75%3. Engineered Python SDK library to create and deploy ML models for risk evaluation use cases 1. Delivered with End to End Integration testing 2. Cut down manual efforts by 80% and streamlining model creation process significantly reducing scope of human errors4. Architected and developed AttritionRiskCaptureService for Managers to analyse employee attrition risk 1. Created Company wide service from scratch used by managers across Amazon to capture employee conversations and get attrition risk based on manager feedback 2. Utilised Spring Boot + React.js and hosted on API Gateway + ECS Fargate + DynamoDB and deployed ML model for calculating risks Show less
Software Engineer
Jul 2022 - nowSoftware Dev Engineer Intern
Jan 2022 - Jun 2022
Licenses & Certifications
- View certificate

Google Kickstart
GoogleOct 2020 - View certificate

Deep Learning Specialization
Deeplearning.aiOct 2020 - View certificate

Applied Machine Learning in python
University of MichiganSept 2020 - View certificate

Python for Everybody Specialization
University of MichiganAug 2020
Languages
- enEnglish
- hiHindi
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