Naman Bhalla

Software Engineering Intern

CureFit•  September 2019 - Present

• Building a tool to manage the designs under development and incorporating customer feedback in the phase. Providing analysis on public v/s development phase reviews to improve the quality of products and reduce money spent in development. • Working on ways to provide real time suggestions to the designers during the design phase using Machine Learning upon data from similar products across platforms. • Working on the backend of CultGear E-commerce platform.

Software Engineering Intern

Shipsy•  May 2019 - July 2019

• Used Apache Airflow to transform ETL pipeline with real-time monitoring, reducing failure rates by 50%. • Built a system to scrape couriers’ tracking websites and provide the clients with status monitoring for their packages on a unified dashboard. • Built a POC of an AR Application that measured parcel dimensions without user input.

Software Engineering and Data Science Intern

Shipsy•  February 2018 - July 2018

• Built an end to end Machine Learning pipeline to recognize text from handwritten postal labels by using Tensorflow and implementing the state of art research papers. • Reduced frame processing time by 3 times on Shipsy’s Rider Android App by implementing custom CameraView and using Facebook’s Fresco for reducing memory consumption. • Used Firebase ML Kit to implement Barcode Scanning. Doubled the rate of scan by making efficient use of multiple threads. • Created the proof of concept for Shipsy’s Control Tower by using Google Dialogflow and Flask to answer clients’ query by voice. • Stack Used: Firebase, Android, OpenCV, Java, Python, Flask

BML Munjal University

Computer Science & Engineering, B.Tech•  August 2016 - Present

CGPA: 9.51 Relevant Coursework: Advanced Design and Analysis of Algorithms, Distributed Systems, Information Retrieval, Cloud Computing, Internet of Things, Operating Systems, Database Systems, Computer Networks, Computer Organization and Architecture