Aman Singh

Software Engineer

Bengaluru, Karnataka, India5 yrs 4 mos experience

Key Highlights

Expert in Microservices and Spring Boot development.
Proficient in Deep Learning and AI solutions.
Strong problem-solving skills with a focus on scalability.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and E-commerce solutions.

Contact

Skills

Core Skills

JavaSpring BootLow-level DesignGo (programming Language)MicroservicesFlaskDjangoDeep LearningCaffe

Other Skills

AWS BatchAgileAlgorithmsAmazon DynamodbAmazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)Back-End Web DevelopmentBashBloggingC++Clean codeCompetitive CodingComputer ScienceContinuous Integration and Continuous Delivery (CI/CD)

About

Computer Science Undergrad student with interests in Big Data, AI, Pattern Recognition, FCA and Machine Learning. Loves solving problems.

Experience

5 yrs 4 mos

Total Experience

1 yr 4 mos

Average Tenure

Current Experience

Keychain

Senior Software Engineer

Feb 2025 – May 2025 · 3 mos · Gurugram, Haryana, India · On-site

JavaSpring BootREST APIsMavenPython (Programming Language)Node.js+1

Solid

Senior Software Engineer

Feb 2024 – Jan 2025 · 11 mos · Remote

Low-Level DesignGo (Programming Language)DatadogAmazon S3Object-Oriented Programming (OOP)Representational State Transfer (REST)+7

Commerceiq

SDE-II

Jun 2022 – Nov 2023 · 1 yr 5 mos

Owned the Hourly Bidding feature end-to-end which enabled clients to effectively manage advertising
budget. The system would make use of quartz scheduler to trigger budget decrease/increase actions which flowed through SQS and executed accordingly. Extended this to multiple retailers i.e. instacart, samsclub, citrus.

AlgorithmsLow-Level DesignSpring BootMicroservicesDatadogKubernetes+21

Daloopa private limited

Software Development Engineer - II

Mar 2021 – Jul 2022 · 1 yr 4 mos

FlaskLow-Level DesignREST APIsAmazon S3Django REST FrameworkDjango+11

Amazon

3 roles

Software Development Engineer

Jun 2019 – Mar 2021 · 1 yr 9 mos

Low-Level DesignClean codeSpring BootMicroservicesBack-End Web DevelopmentAmazon S3+18

Software Engineer

Jun 2019 – Mar 2021 · 1 yr 9 mos

Software Development Intern

Jun 2018 – Aug 2018 · 2 mos

Worked on solving the problem to recommend complementary products to users, based on the currently browsed product. Implemented a Machine Learning model that produced best suitable heterogeneous recommendations based on previously browsed and bought together items.
The model employed a Deep Learning model to learn relationships between images of products that were bought together, and produced compatibility scores after pre-processing the data.
Framework used : Caffe(for the deep learning net), Scipy(pre-processing data), Numpy
Languages used : C++, Bash, Python2

DockerComputer ScienceCaffeC++Problem SolvingBash+2