Backend Engineer

• Mar 2023 - Present

Backend Developer Intern

• Oct 2022 - Mar 2023

- Working on a microservices-based architecture for multiple product verticals, based on GoLang.- Learning about SDLC in its entirety, from gathering requirements to service deployment.

Research Intern

• Jan 2022 - Sep 2022

Worked as a Research Intern, primarily on the ENHANCE 2020 Project. 1. Analysed and Trained Machine Learning Models on national-level survey data like NFHS-5 etc. 2. Designed Interactive Dashboards for gauging the efficiency of the survey team, on Microsoft PowerBI 3. Automated the data cleaning and aggregation pipeline increasing efficiency through R, Stata and Python Worked as a Research Intern, primarily on the ENHANCE 2020 Project. 1. Analysed and Trained Machine Learning Models on national-level survey data like NFHS-5 etc. 2. Designed Interactive Dashboards for gauging the efficiency of the survey team, on Microsoft PowerBI 3. Automated the data cleaning and aggregation pipeline increasing efficiency through R, Stata and Python

Backend Developer Intern

• Jan 2022 - Jun 2022

Worked as a Software Developer Intern(Backend) of the Curer App. 1. Maintained and Debugged the entire Backend Stack consisting primarily of a Node.js API Service and Django Rest Framework ORM service 2. Designed and Developed Database Schemas for new features based on requirements using Django and PostgreSQL 3. Developed APIs for Integration with external services like AWS, Firebase, Agora, Razorpay etc. Worked as a Software Developer Intern(Backend) of the Curer App. 1. Maintained and Debugged the entire Backend Stack consisting primarily of a Node.js API Service and Django Rest Framework ORM service 2. Designed and Developed Database Schemas for new features based on requirements using Django and PostgreSQL 3. Developed APIs for Integration with external services like AWS, Firebase, Agora, Razorpay etc.

Summer Intern

• Jun 2021 - Jul 2021

Made an application for Estimation & Prediction of Vehicle Trajectories 1. Used Computer Vision and Machine Learning to classify and track various vehicles. 2. Classified these vehicles on the basis of their direction of turning 3. Used this model to analyze traffic on surveillance footage, captured in Jodhpur, Rajasthan Made an application for Estimation & Prediction of Vehicle Trajectories 1. Used Computer Vision and Machine Learning to classify and track various vehicles. 2. Classified these vehicles on the basis of their direction of turning 3. Used this model to analyze traffic on surveillance footage, captured in Jodhpur, Rajasthan