# Mayank Sharma > Software Engineer at Rubrik | Former SDE-2 at Atlassian | UCSD | Bits Pilani Location: San Francisco Bay Area, United States Profile: https://flows.cv/mayanksharma I have 3+ years of experience in Software Engineering and Machine Learning at Rubrik, Atlassian and Informed.IQ. I am skilled in Kotlin, Spring Framework, Java, ReactJs, GraphQL, Terraform, Jenkins, Bitbucket Pipelines, Scala, Functional programming , MongoDb and AWS DynamoDb. I have also worked on several Machine Learning Projects and have extensively used Pytorch. I have experience leading projects such as the migration of pricing APIs from monolith to microservices and have also mentored graduate engineers while I was working as a Software Engineer at Atlassian. ## Work Experience ### Software Engineer @ Rubrik Jan 2024 – Present | San Francisco Bay Area Databases and Caching team • Migrating database server mappings from Consul to a platform database metadata table in MySQL, eliminating dependency on Consul and mitigating upgrade-related issues. • ​Optimized database performance by developing a periodic job using Golang to defragment whitelisted tables, significantly enhancing data retrieval speed and system efficiency. • ​Enhanced data management and operational tracking by integrating timestamps into MySQL schema migration tables across all components, ensuring precise migration timing verification. ### Machine Learning Engineer @ Informed.IQ Jan 2024 – Jan 2024 | San Francisco, California, United States • Developed an OCR-based Feature Extraction Model with Microsoft’s LayoutLMV3 to identify and extract service provider names, customer names, addresses and phone numbers from phone bill images, achieving an F1 score of 0.87. Deployed the model on AWS (Step Function). • Explored paystub misalignments using LayoutLMV3 and developed intelligent heuristics for fraud detection. ### Graduate Teaching Assistant @ UC San Diego Jan 2023 – Jan 2024 | San Diego, California, United States COGS 100: Cyborgs and Future under Professor Eric Morgan ### Machine Learning Intern @ Ochsner Health Jan 2023 – Jan 2023 | New Orleans, Louisiana, United States • Led the implementation of Label Studio for video annotations, deploying it on-premises using Kubernetes, enhancing the machine learning annotation process. • Used YOLOv8 from Ultralytics and PyTorch to create Endoscope AI, focusing on detection of middle and inferior turbinates. Achieved a significant improvement in diagnostic accuracy with an F1 score of 0.9 at 85% confidence. • Developed a Catalog API to seamlessly integrate COCO-formatted datasets with RedCap data, and engineered a custom dataset creation API using Python, FastAPI, and SQLAlchemy to enhance data management capabilities.• ### Software Engineer II @ Atlassian Jan 2022 – Jan 2022 | Bengaluru, Karnataka, India • Cohorted apps for migration from HAMS (older billing system used internally) to Commerce Cloud Platform. • Integrated Commerce Cloud Platform with Atlassian Marketplace using Kotlin, MongoDB, and AWS DynamoDB. ### Software Engineer @ Atlassian Jan 2020 – Jan 2022 | Bengaluru, Karnataka, India • Led the migration of the Pricing APIs from monolith to microservices architecture. Created GraphQL as well as REST APIs (for backward compatibility) in the microservice from the Rest APIs of the monolith. Redirecting around 600,000 requests per day (3% traffic of the monolith). • Worked on enabling 50,000 user-tier of an app for a Fortune 500 Investment Bank • Worked on reducing the time required to block Marketplace APIs from 30 minutes to 5 minutes. Have experience working with HAProxy and Nix programming language as a part of this project. • Worked on Forge Revenue Recognition. Forge is an Atlassian hosted platform released in 2021 which can be used by the vendors to build apps. Worked on the differentiation of revenue between the old Connect Framework and the new Forge Framework. • Worked on the Redemption flow of Cloud Promotion Codes for Atlassian Marketplace apps using React.js. • Set up and configured AWS Dynamo Db for a microservice • Worked on the migration of CI/CD pipelines of marketplace microservices from bamboo to bitbucket pipelines, increasing the security score of Atlassian Marketplace over 90. • Took coding interviews as a part of the campus recruitment team. ### Software Engineer Intern @ Zendrive Jan 2020 – Jan 2020 | Bengaluru, Karnataka, India • Designed the software release process for Android and iOS SDKs. • Implemented the release for iOS SDK using CI/CD pipelines in groovy ### Teaching Assistant, Analog and Digital VLSI Lab @ Birla Institute of Technology and Science, Pilani - Goa Campus Jan 2019 – Jan 2019 | Goa •Helped students solve assignments based on Cadence. • Formulated and conducted the lab exam. ### Intern @ Western Digital Jan 2019 – Jan 2019 | Bengaluru, Karnataka, India • Analysed various cryptographic algorithms such as DES, AES and SHA. • Implemented the Software model of AES XTS in python. • Wrote test cases to check validation of the XTS Engine in SDMA( Secured Direct Memory Access). ### Teaching Assistant, Microelectronics Lab @ Birla Institute of Technology and Science, Pilani Jan 2019 – Jan 2019 | Goa, India • Taught Cadence for circuit designing • Formulated and conducted the lab exam ### Research Intern @ CSIR-CEERI Jan 2018 – Jan 2018 | Pilani, Rajasthan, India Made a login enabled android app to capture images from any camera with Wi-Fi Service which can be displayed on an android device directly through Peer to Peer connection ## Education ### Master of Science - MS in Electrical and Computer Engineering (Machine Learning and Data Science Track) UC San Diego ### Bachelor of Engineering in Electronics and Instrumentation Birla Institute of Technology and Science, Pilani - Goa Campus ## Contact & Social - LinkedIn: https://linkedin.com/in/mayank-sharma12345 --- Source: https://flows.cv/mayanksharma JSON Resume: https://flows.cv/mayanksharma/resume.json Last updated: 2026-04-01