Shashank Srivastav
About Shashank Srivastav
Shashank Srivastav is a Senior Software Engineer at Confiant Inc, where he has worked since 2022. He has a diverse background in software engineering, having held various roles in companies across India, France, and the United States.
Work at Confiant
Shashank Srivastav has been employed at Confiant Inc as a Senior Software Engineer since 2022. He works remotely from the New York City Metropolitan Area. During his tenure, he has contributed to significant projects, including the migration of Confiant's core Ad scanner from legacy PHP to Node.js and Puppeteer. He also built a centralized crawler that enhances the company's ad scanning capabilities by supporting various search engines.
Previous Work Experience
Prior to his role at Confiant, Shashank held several positions in the software engineering field. He worked as a Software Engineering Intern at SilverPush in 2015 for four months. He then served as a Software Engineer at Musejam from 2015 to 2016. His career progressed with roles at LimeTray as a Senior Software Engineer from 2017 to 2019, and as a Cloud Engineer at Platform.sh in 2019. He also worked as a Data Engineer at Paperchain from 2019 to 2022.
Education and Expertise
Shashank Srivastav earned his Bachelor of Technology (BTech) in Computer Science from Maharshi Dayanand University, where he studied from 2011 to 2014. He also attended Apeejay School from 2003 to 2009. His educational background provides a strong foundation for his expertise in software engineering, cloud computing, and data engineering.
Technical Projects and Contributions
Shashank has been involved in various technical projects throughout his career. He created a YouTube live video scanner using Google Vision API to identify malicious domains and scams. Additionally, he developed a robust Taxii & Stix builder API for a security team and configured an OpenCTI dashboard for visualizing cyber threats. He also architected a highly scalable ETL pipeline that increased throughput significantly using AWS Batch.