Sai Polisetty

Senior Software Engineer

Vancouver, British Columbia, Canada10 yrs 3 mos experience
Highly Stable

Key Highlights

  • Expert in building full stack services and data pipelines.
  • Significant cost reduction and efficiency improvements in data processing.
  • Proven track record in developing high-impact algorithms.
Stackforce AI infers this person is a Data Engineer with expertise in Fintech and E-commerce.

Contact

Skills

Core Skills

Data EngineeringAzure DevelopmentEmail MarketingE-commerce DevelopmentAlgorithm DevelopmentSoftware DevelopmentUser ExperienceResearch And DevelopmentSoftware EngineeringComputer VisionMachine LearningAutomation

Other Skills

AlgorithmsApache SparkAzureCC#C++Continuous deploymentCost reductionData StructuresData pipelinesData processingE-commerceEMR ProductFace recognitionFinancial auditing

About

• Experience in building Full stack services and Data processing pipelines using native Cloud platforms including Azure & AWS • Experience in memory and run-time optimization • Experience with Big Data processing technologies including Spark, ADLA • Good understanding of Object Oriented and Modular design

Experience

Hopper

Senior Software Engineer

Aug 2022Present · 3 yrs 7 mos · Vancouver, British Columbia, Canada · Remote

Microsoft

Software Engineer

Aug 2019Aug 2022 · 3 yrs · Vancouver, British Columbia, Canada

  • Developer in Partner & Seller Experience team
  • Developed data pipelines for the generation and publishing of End of Period (EOP) Finance reports
  • Designed the data processing infrastructure which improved data latency from 12Hrs to 3Hrs and reduced cost by 30%
  • Designed the reporting component in Azure Credit Offer program for Financial auditing
  • Onboarded and trained 6 teams to consume the EOP reports and facilitate Financial auditing
  • Enabled continuous deployment with Azure DevOps to Data Lake, ADF and SQL
Data pipelinesAzureCost reductionContinuous deploymentFinancial auditingData Engineering+1

Amazon

Software Dev Engineer

Jun 2015Jul 2019 · 4 yrs 1 mo · Greater Seattle Area

  • Designed and developed the primary marketing email program for Woot sending over 100K emails/day
  • Developed and launched a personalized deals widget on Amazon.com in 10 marketplaces
  • Developed the bestsellers algorithm on Spark that powers recommendations on Zappos, Shopbop, Comixology, Abebooks and The Book Depository
  • Worked on multiple projects that span across the end-to-end workflow of Recommendations Systems from behavioral data ingestion to generating item similarities and calculating attribution metrics
Email marketingPersonalized dealsRecommendations systemsSparkEmail MarketingData Engineering

Epic

Software Developer

Oct 2013Feb 2015 · 1 yr 4 mos · Greater Madison Area

  • R&D in Stork, Labor and Delivery application for Epic Hyperspace (EMR Product). Point person for the History sections in Obstetrics module.
  • Implemented Family History utility to automatically correct errors caused by build issues. This automated the process of verifying and updating thousands of patients’ records with minimal user interference.
  • Met several customers to understand the requirements and usage of product from an end-user perspective.
R&DEMR ProductUser requirementsSoftware DevelopmentUser Experience

Ansys apache

Research and Development Engineer

Aug 2012Aug 2013 · 1 yr · Greater Bengaluru Area

  • R&D in GDS team, physical modelling module for Redhawk tool.
  • Responsible for development of latest Physical designing technologies, optimizing memory and run-time for Redhawk.
  • Implemented the PhyModel Dump that lets Redhawk to save the snapshot of the run at certain locations. This let the re-use of processed part of a design improving productivity especially for processes that take several days to complete.
R&DPhysical modelingMemory optimizationResearch and DevelopmentSoftware Engineering

Indian institute of technology, madras

Multi-view Face Recognition

Aug 2011Jun 2012 · 10 mos · Greater Chennai Area

  • Input images are enhanced using subband face reconstruction using selected wavelet subbands.
  • Pose of the test image is determined using SVM while the features are extracted using Linear Component Analysis.
Face recognitionImage processingSVMComputer VisionMachine Learning

Microsoft

Internship

May 2011Jul 2011 · 2 mos · Greater Hyderabad Area

  • Intern in Bing search engine answers service for automobiles.
  • Developed a tool (Automation of Answers year validation and feeds management) to validate the year for a car with make and model generated by the search engine.
  • The tool also performs additional tasks of completeness check for the weekly feeds and displays the updates for current feed.
Tool developmentAutomationSoftware Development

Education

Indian Institute of Technology, Madras

Master's Degree — Computer Science and Engineering

Jan 2007Jan 2012

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