Aayush Kapadia

Senior Software Engineer

Bengaluru, Karnataka, India7 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Stackforce AI infers this person is a Fintech and SaaS-focused software engineer with expertise in automation and machine learning.

JavaData StructuresAmazon Web Services (AWS)AlgorithmsProgrammingCC++PythonJava ProgrammingC/C++ ProgrammingRESTful WebServices

5 roles

Jan 2026 – Present · 3 mos · On-site

Jan 2025 – Dec 2025 · 11 mos · On-site

Tech lead of ~8 member team as well as manager for ~4 people to continue the project on automating complex revenue recognition and helped launch and land the project which spanned across 2-3 years.

Promoted

Nov 2023 – Dec 2024 · 1 yr 1 mo · On-site

Tech lead of ~6 member team for automating complex revenue recognition which was being done by Accountants manually in Spreadsheets with lot of complex Macros which was becoming difficult to maintain

May 2022 – Oct 2023 · 1 yr 5 mos · On-site

Sep 2020 – Apr 2022 · 1 yr 7 mos · On-site

One of the founding Eng members of the team - contributed to the launch of the MVP product from 0->1 which helped automate revenue recognition of many deals

3 roles

Jul 2018 – Aug 2020 · 2 yrs 1 mo · Hyderabad, Telangana, India

Used AWS SageMaker to productionize Deep Learning ML Model using Tensorflow Framework.
Compared AWS Simple Workflow Service and AWS Step Functions and used them to build a workflow kind of system for our application.
Used Spring MVC framework to develop FronEnd Component of a Product. Used several important features of Spring such as Auto Binding Form Data to Java Pojo, Property Editors, Javax Validation with Spring etc.

Jan 2018 – Jul 2018 · 6 mos · Hyderabad, Telangana, India

o Used and gathered knowledge of various AWS services which includes services such as AWS Lambda, API Gateway, DynamoDB, SQS, SNS, CloudWatch, Aurora Postgres etc. Based on this knowledge, designed and coded backend for an important Machine Learning Application.
o Leveraged idea of the serverless computing using AWS Lambda, API Gateway and DynamoDB and launched first serverless application of my team.
o Learned Concepts of REST API as I created an API for my backend application through API Gateway.
o Learned NoSQL Database in form of AWS DynamoDB. Compared it with SQL databases such as AWS Aurora Postgres.
o Learned Asynchronous Service oriented architecture by leveraging AWS SQS queue and AWS SNS Notifications.