Prashant Singh has over 5 years of experience in software engineering. He received a Master's degree in Computer Science from USC and a Bachelor's degree from NIT, where he graduated with gold medals. His experience includes developing computer vision algorithms for food inspection at Greyscale AI and building data systems at SAP Labs. Currently, he is working on a project to determine water depth during floods using CCTV footage.

1. Prashant Singh
Phone-Alt 213-522-0324 | Envelope prashants2403@gmail.com | LINKEDIN prashants2403
EDUCATION
University of Southern California August 2021-Present
Master of Science in Computer Science Los Angeles, CA
• Coursework: Robotics, Algorithms
National Institute of Technology August 2013-May 2017
Bachelor in Technology in Computer Science and Engineering Manipur, India
• Coursework: Data Structures, Algorithms, Databases, Computer Systems, Machine Learning
• Gold Medalist
EXPERIENCE
Greyscale AI March 2021-August 2021
Software engineer Bay Area, CA (remote)
• Developed Computer vision algorithms in team of three using OpenCV and C++ for detecting seal related defects in
food inspection for flat pouches to improve accuracy from 60 to 99 percent.
• Designed and deploy ETL pipeline using NIFI from edge to cloud for image inspection and inference to cloud for data
analytics
SAP Labs July 2017-March 2021
Developer Bengaluru, India
• Built data replication and validation system for financial data from SAP S/4 to SuccessFactors
• Led team of seven developers as Scrum Master and contributed to Full stack Development of configuring trials of
Cloud Native application using Java, SAPUI5, HANA DB to reduce time from 6 months to a week
Centre for Development of Advanced Computing June 2016-July 2016
Summer Intern Pune, India
• Parallelized Fuzzy C Means Clustering using Apache Spark in Java for clustering cancer data and studied effect of
different hyper parameters on high memory systems
PROJECTS
Detecting rain depth using CCTV footage September 2021-Present
• Developing remotely along with two other PhD’s in structural engineering from IIT (India) to determine water depth
during rainy and flooding season leveraging CCTV footages from campus of IIT
Smart Vendor Invoice management May 2018-May 2019
• Developed in team of three a decentralized ledger management solution to reduce complexity and time involved in
loans disbursement for various industrial sectors by saving invoice details on Hyperledger by first retrieving invoices of
vendors from vendors SAP system
• Awarded a provisional patent
SKILLS
Languages : Python, Java, JavaScript (React.js), HTML/CSS, SQL (PostgreSQL, MySQL)
Tools : Notion, Jira, Google Analytics, GitHub