Bharath K.

Software Engineer

Austin, Texas, United States5 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Implemented EU payment security initiatives.
  • Designed systems enhancing customer transaction experiences.
  • Reduced issue resolution time significantly.
Stackforce AI infers this person is a Fintech Software Engineer with expertise in payment systems and machine learning.

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Skills

Core Skills

Software DevelopmentAmazon Web Services (aws)Machine Learning

Other Skills

AWSC (Programming Language)CompilersComputer NetworkingComputer VisionData StructuresGuiceJavaKerasMERN StackObject-Oriented Programming (OOP)OpenCVOperating SystemsPythonSQL

About

A Software Development Engineer II currently working with Global Payments Tech at Amazon. Skilled in Java, Python, Scala, Amazon Web Services (AWS), C++ (Programming Language), Software engineering and computer science fundamentals. Strong engineering professional with a Bachelor of Engineering focused in Computer Science from Birla Institute of Technology and Science, Pilani.

Experience

Amazon

4 roles

Software Development Engineer II - Global Payments Tech

Dec 2024Present · 1 yr 3 mos

Software DevelopmentAmazon Web Services (AWS)

Software Development Engineer - II, Global Payments Tech

Apr 2022Dec 2024 · 2 yrs 8 mos

Software DevelopmentAmazon Web Services (AWS)

Software Development Engineer, Consumer Payments

Aug 2020Mar 2022 · 1 yr 7 mos

  • Worked on the implementation of the EU Strong Customer Authentication (SCA) payment initiative across European countries, enhancing security and compliance with the EU-PSD2 regulation.
  • Designed and developed a smart payment notification system that provides customers with specific actionable reasons for failed transactions. This system was deployed across multiple EU regions, significantly enhancing customer experience and contributing to a revenue increase of approximately $50 million.
  • Managed high operational demands during the EU-PSD2 initiative launch, reducing high-severity tickets by over 240 annually through effective issue resolution and preserving ~3,000 transactions daily.
JavaAWSSoftware DevelopmentMachine Learning

Software Development Engineer Intern, Amazon Pay

Jul 2019Dec 2019 · 5 mos · Bengaluru, Karnataka, India · On-site

  • Designed and developed an application that automates issue analysis for tickets related to services managed by our team, utilising Java and AWS technologies (SNS, SQS, S3, Kinesis Data Streams, and Firehose).
  • Enhanced the application to automatically append detailed analysis information, such as logs and debugging autogenerated links, to support tickets, significantly accelerating the root cause analysis process.
  • Achieved a reduction of approximately 30-45 minutes in identifying the root causes of high severity issues, handling about 10 such cases weekly, which substantially minimised customer impact and improved service reliability.
JavaAWSMachine LearningSoftware Development

Ust global

Summer Research Intern

May 2017Jul 2017 · 2 mos · Tamil Nadu, India

  • Developed an application where the user has to upload images of a damaged car and the application identifies the parts of the car in the pictures and checks whether they are damaged or not, if damaged it calculates the severity of the damage and calculates the estimated cost to repair the car.
  • The project was implemented in Python using Keras and OpenCV. Learned about Machine Learning, CNNs, data augmentation and Computer Vision concepts.
PythonMachine LearningComputer Vision

Education

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering — Computer Science

Jan 2016Jan 2020

Sri Chaitanya Raman Bhawan

Higher Secondary Education

Jan 2014Jan 2016

Gowtham Concept School

Secondary Education — 10th Class

Jan 2013Jan 2014

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