Satya Amarapalli

Machine Learning Engineer

San Francisco, California, United States10 yrs 6 mos experience
Most Likely To Switch

Key Highlights

  • Expert in machine learning and data processing pipelines.
  • Led teams to develop high-impact fintech solutions.
  • Proven track record in driving significant ad revenue.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in AdTech and Fintech.

Contact

Skills

Core Skills

Machine LearningSoftware DevelopmentData Warehouse ArchitectureGoogle AdsDashboardOpenshiftKubernetesBack-end Web DevelopmentApi DevelopmentFinance

Other Skills

Big DataCC++Computer VisionContainer ShippingData PipelinesDatabasesDecision SciencesDeep LearningDigital Image ProcessingDjango REST FrameworkDropwizardEntrepreneurship CellFinTechGo (Programming Language)

About

Seasoned Software Engineer with 7 yrs (+2 MS) of background in designing and delivering software solutions to complex business problems. At Google Ads, I worked on attribution & measurement of offline store transactions and store visits, to drive targeted ads for advertisers bringing in a yearly income of $ 10B+. Proficient in working with large scale backend systems, implementing real-world machine learning pipelines and in general being a hands-on problem solver.

Experience

Cruise

2 roles

Senior Machine Learning Engineer

Jan 2024Present · 2 yrs 2 mos · San Francisco Bay Area · Hybrid

Senior Software Engineer

May 2023Jan 2024 · 8 mos · San Francisco Bay Area · Hybrid

InfrastructureSoftware DevelopmentMachine Learning

Google

Software Engineer

Jul 2020Mar 2023 · 2 yrs 8 mos · Mountain View, California, United States

  • 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.
Data Warehouse ArchitectureGoogle Cloud DataflowBack-End Web DevelopmentData PipelinesC++TensorFlow+6

Red hat

Openshift Software Engineer

May 2019Aug 2019 · 3 mos · Greater Boston

  • 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.
OpenShiftContainer ShippingPrivate CloudsGo (Programming Language)Kubernetes

University of maryland

Software Developer Graduate Assistant

Sep 2018May 2020 · 1 yr 8 mos · College Park, Maryland, United States

  • 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.

Flipkart

Full Stack Software Development Engineer

Apr 2018Jul 2018 · 3 mos · Bengaluru, Karnataka, India

  • 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%.
DropwizardBack-End Web DevelopmentJavaAPI Development

Axio

2 roles

Senior Member Of Technical Staff

Promoted

May 2017Mar 2018 · 10 mos

  • 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.
FinanceDjango REST FrameworkPython (Programming Language)JavaMachine LearningJavaScript+2

Member Of Technical Staff

Dec 2015Apr 2017 · 1 yr 4 mos

  • Developed and Supported the Documents and Partner onboarding platform, optimizing both for high load and flexible future integrations.

Housing.com

Software Developer

May 2015Oct 2015 · 5 mos · Mumbai, Maharashtra, India

  • 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.

Bosch engineering and business solutions

Senior Engineer

Jul 2014Apr 2015 · 9 mos · Bengaluru, Karnataka, India

  • 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.

Philips, philips innovation campus(pic)

Research Engineer

May 2013Jul 2013 · 2 mos · Bengaluru, Karnataka, India

  • 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.

Warrantify oy

Product Developer

Apr 2012Jul 2012 · 3 mos

  • Warrantify 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.

Education

University of Maryland

Master of Science - MS — Computer Systems Networking and Telecommunications

Jan 2018Jan 2020

Indian Institute of Technology, Kanpur

Bachelor of Technology — Electrical Engineering.

Jan 2010Jan 2014

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