
Satya Amarapalli
Product Developer

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About me
Senior Machine Learning Engineer @ Cruise | Google | Red Hat
Education

Indian Institute of Technology, Kanpur
2010 - 2014Bachelor of Technology Electrical Engineering.Activities and Societies: Entrepreneurship Cell (IITK), Public Relations team - Antaragni 2012, Public Relations Team - Udhgosh 2012.

University of Maryland
2018 - 2020Master of Science - MS Computer Systems Networking and Telecommunications 3.97• Received Academic Excellence Scholarship, Offered to students with the Best academic performance among graduating students, (2019-20).• Won the Best Machine Learning and Data Visualization Challenges in the Bitcamp Hackathon hosted by MLH, 2019.• Won the Best Software Hack award in The Local HackDay Hackathon hosted by MLH, 2018.
Experience

Warrantify Oy
Apr 2012 - Jul 2012Product DeveloperWarrantify is a robust management system for warranties and receipts that helps in keeping track of your warranties, claims and expiry dates.• Collaborate with the existing team and Design the backend part of the production site of "Warrantify" and remodel it to work faster on a PHP platform.
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Philips, Philips Innovation Campus(PIC)
May 2013 - Jul 2013Research Engineer• As part of a three month long summer research internship, worked in the fields of Bio-medical Image processing and Pattern recognition. • Develop new solution for solving the problem of Aceto-whiteness detection in Cervical cancer diagnosis.

Bosch Engineering and Business Solutions
Jul 2014 - Apr 2015Senior Engineer• Collaborated on the "IBooster" Pilot program, which was the next generation braking solution for hybrid and electric automobiles.• Tested and Implemented custom software which would provide different braking profiles, that can be tailored to the driver's comfort.

Housing.com
May 2015 - Oct 2015Software Developer• Developed code that added smart filters in the Search Service of the 'Buy' Flats section, which is one of the core business of the firm..• This Implementation needed deep understanding of the custom ElasticSearch server queries and writing highly scalable and modular Ruby code.

Axio
Dec 2015 - Mar 2018• Spearheaded a team of 6 engineers in building the underwriting and customer on-boarding platform of the firm, processing on an average 10,000 loans every month.• Conceptualized and built the Decision Engine service, which ran smart algorithms to underwrite loans and is essential in fraud detection & loan eligibility calculation. • Developed and Supported the Documents and Partner onboarding platform, optimizing both for high load and flexible future integrations.
Senior Member Of Technical Staff
May 2017 - Mar 2018Member Of Technical Staff
Dec 2015 - Apr 2017

Flipkart
Apr 2018 - Jul 2018Full Stack Software Development Engineer• Implemented prototype version of Inbound Scheduling Software, required to manage the scheduling needs of the Operations team which handles about 8 Million shipments every month.• Designed to be highly responsive and scalable, deployed 1.0 version of the service helped cut down the turnaround time by 50%.

University of Maryland
Sept 2018 - May 2020Software Developer Graduate Assistant• Develop new features and plugins to ease content creation for Librarians using the CMS platform.• Collaborate with senior engineers to fix bugs and misconfigurations on the UMD Library website and partner sites.• Containerize applications and migrate data from Solr cores to Docker Containers.• Creating Selenium test modules for testing key features and their business logic.• Provide Key Development support in upgrading to the latest version of the Java based Bloomreach CMS platform. Show less

Red Hat
May 2019 - Aug 2019Openshift Software Engineer• Collaborated on the Design and Implemented feature to support custom endpoints for installing an OpenShift cluster using GoLang.• Worked with Kubernetes API and Terraform configurations, also added end-to-end CI tests needed for feature deployment.

Google
Jul 2020 - Mar 2023Software Engineer• Developed & trained ML models and infra for online-to-offline attribution and measurement, capturing ad events (clicks/impressions) to determine their real-world offline value, helping us drive targeted ads which brought in an total yearly income of $10 B+.• Added impression event attribution for estimating store sales conversions from data uploaded by third party data providers. This measurement was a crucial metric for attaining higher revenue coverage on Display/YouTube/Shopping/Maps channels and helped the product cross $ 1B+ total incremental revenue coverage.• Created and Maintained batch & streaming data processing pipelines (Flume) to process petabytes of Ad events data to derive key indicators like average order value, conversion rate etc. at advertiser level.• Built revenue dashboards and underlying data warehouse pipelines to showcase daily revenue impact (incremental revenue coverage) at a granular level for the various products launched by our team. This data is used by 50+ key-stakeholders and management for OKR planning and to monitor impact.• Key Achievements : Received 7+ peer and spot bonuses and consistently been recognized as a hands-on and competent engineer, skilled at coordinating with cross-functional teams to ensure timely project launch. Show less

Cruise
May 2023 - nowSenior Machine Learning Engineer
Jan 2024 - nowSenior Software Engineer
May 2023 - Jan 2024
Licenses & Certifications
- View certificate

Professional Machine Learning Engineer Certification
GoogleApr 2024
Honors & Awards
- Awarded to Satya AmarapalliAcademic Excellence Scholarship UMD Apr 2020 Academic Excellence Scholarship is awarded to meritorious students who have had the Best academic performance among graduating students.
- Awarded to Satya AmarapalliBest Machine Learning and Data Visualization hack MLH Apr 2019 Best Machine Learning hack => Used the data (provided by FINRA) about the brokers of different firms and backgrounds to1. Perform Unsupervised Learning and identify correlations & similarities in the high dimensional space2. Assess the credibility of the brokers and creating a metric for estimating their credibility.Best Data Visualization hack => Used the data (provided by Riskspan) consisting of information about loan borrowers and their backgrounds to1. Build a… Show more Best Machine Learning hack => Used the data (provided by FINRA) about the brokers of different firms and backgrounds to1. Perform Unsupervised Learning and identify correlations & similarities in the high dimensional space2. Assess the credibility of the brokers and creating a metric for estimating their credibility.Best Data Visualization hack => Used the data (provided by Riskspan) consisting of information about loan borrowers and their backgrounds to1. Build a Delinquent loan classifier2. Look at borrowers who have defaulted on their loans by creating data visualizations on Tableau Show less
- Awarded to Satya AmarapalliBest Software Hack, My Local Hack Day MLH Dec 2018 Won the Best Software Hack award in My Local HackDay Hackathon hosted by MLH.
Languages
- enEnglish
- teTelugu
- hiHindi
- saSanskrit
- spSpanish
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