Ravikant Singh

Backend Engineer

Gurgaon, Haryana, India5 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in backend development and microservices architecture.
Proven track record in integrating complex data systems.
Strong experience in developing secure AI models.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and IoT solutions.

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Skills

Core Skills

Backend DevelopmentMicroservicesHomomorphic Encryption

Other Skills

AWSAWS IoT CoreAirbyteAlgorithmsAmazon Web Services (AWS)Analytical SkillsAndroid DevelopmentArgoBashC (Programming Language)C++Code ReviewComputer ScienceCore JavaCryptographic algorithms

Experience

5 yrs

Total Experience

2 yrs 6 mos

Average Tenure

3 yrs 7 mos

Current Experience

Lightbeam.ai

Backend Engineer

Nov 2022 – Present · 3 yrs 7 mos

Led integration of new data sources like Azure Blob, Dropbox, Salesforce, improving data scanning and UI integration.
Updated existing integrations for AWS S3, Google Drive, Slack, enhancing performance and adding latest core feature changes.
Developed an Argo Workflow system for generating large scale asynchronous reports, ensuring scalability and high reliability with TTL support.

Backend DevelopmentMicroservicesData PipelinesFastAPIPythonAWS+1

Quickget

Backend Engineer

Jun 2021 – Nov 2022 · 1 yr 5 mos

Developed scalable backend services to manage consumer campaigns and challenges, improving user engagement and order conversion.
Integrated Uber Eats as an order & delivery partner, increasing order fulfillment by 25%.
Implemented third-party integrations (Google Maps, Airtable, Google Sheets, Slack) to enhance operational efficiency and collaboration.

Backend DevelopmentMicroservicesData PipelinesPythonAWS

Paytm

Backend Engineer

Jan 2021 – Jun 2021 · 5 mos · Noida, Uttar Pradesh, India

Built a comprehensive demonstration project that showcased core IoT middleware functionality, deployed on AWS.
Worked on Spring Boot with MQTT protocol and AWS services (IoT Core, EC2, RDS) to support Paytm’s IoT devices.

Backend DevelopmentSpring BootAWS

Google summer of code

Student Developer with OpenMined

May 2020 – Sep 2020 · 4 mos

As a Google Summer of Code participant with OpenMined org, I worked on the implementation of FV Homomorphic Encryption scheme from scratch in the PySyft library. My primary responsibility was to make the FV scheme more user-friendly and integrate it with popular deep learning frameworks such as PyTorch and Tensorflow.
I used Microsoft's SEAL project as a reference, but I implemented the FV Homomorphic Encryption scheme from the start, and made it more compatible with the deep learning frameworks. The final result of this project is an easy to use homomorphic encryption library for deep learning, which can be leveraged by researchers, developers and data scientist to build more secure and private AI models.

Homomorphic EncryptionPyTorchTensorFlow