Daksh Sharma

About

Work

Sprinklr
|

Software Engineer

Highlights

Added support for Dynamic Video Templates which allows generation of numerous customized videos efficiently in bulk by utilizing data from spreadsheet tools.

Analyzed and resolved platform-wide build warnings and errors, resulting in a 4.5% reduction in build time and a 33% decrease in console output.

Integrated Snapchat's Reach & Frequency Ads which will increase the revenue by more than $10 million.

Integrated end-to-end support for publishing and managing Advertisement campaigns for Google, and Amazon.

Spearheaded initiatives to eliminate reliance on legacy third-party libraries usages like Backbone, jQuery, and class components to improve code maintainability, scalability, performance and reduce technical debt.

Implemented support for a range of features aimed at enhancing aspects such as advertisement creation, audience management, and campaign spending & budget management.

Sprinklr
|

Software Engineer Intern

Highlights

Developed a JS script which allows seamless automatic analysis of a large project which will reduce the overall chunk size, decrease the load time and migration time, and allow easier code maintenance.

Analyses various aspects of a code base like presence of dead files, intra-module dependencies, unnecessary files duplication, and simulation of a chunk's metadata even before building it.

Education

Indian Institute of Technology, Guwahati

B. Tech.

Computer Science and Engineering

Grade: 8.81

Awards

JEE Advanced 2019

Secured AIR 530 among 0.25 million candidates appearing for the test.

JEE Main 2019

Secured AIR 250 among 1.47 million candidates with perfect score in Physics.

CredAvenue Ctrl-Alt-Debt Hackathon

Winner among 2500+ teams that participated across the country.

Spotlight Award, 2024

Awarded By

Sprinklr

Awarded at Sprinklr for outstanding performance as the top employee.

Skills

Programming Languages

C, C++, Python, JavaScript, TypeScript, Java.

Web Technologies

NodeJS, ReactJS, GraphQL, NextJS, Django, Redis, Tailwind, HTML, CSS.

Database Management

MySQL, MongoDB.

Interests

Key courses taken

Data Structures and Algorithms, Database Management Systems, Machine Learning and Deep Learning, Operating Systems, Computer Networks, High Performance Computing.

Projects

Other Notable Projects:
Prefetching in Disaggregated Data Center

Summary

Dr. T. Venkatesh, Dept. of CSE, IIT Guwahati

GyanDaan - Online Learning platform

Summary

Ctrl-Alt-Debt Hackthon