SHAIL RAJ SINGH JAIN

Part of the founding engineers for the inception OCI data Science. Have been responsible for the development and deployment of Model catalog which forms the Leading the Data Science platform team. Have ownership of multiple customers facing services. Majorly involved in designing and developing the architecture of the services/features , feature development, improving the service performance and reliability.

Projects

Model Catalog

• Led the comprehensive system design and software architecture for disaster recovery in the data science service. This included backing up customer data in compliance with regulations, managing application failover, and recovering backed-up data. Contributed to the development of multiple features within this project.
• Directed the architecture design of the data plane for the platform service, making critical design decisions after evaluating tradeoffs. Also spearheaded the development effort to build the infrastructure for the data plane.
• Led the initiative to improve user experience during machine learning model deployment, significantly reducing deployment time for large models to a few minutes, resulting in major customer satisfaction.

Environment Store

• Leading the development of OCI Environment Store, enhancing management and deployment capabilities for machine learning workflows by implementing robust tracking and versioning systems for conda environments.
• Collaborated with data scientists and mlops engineers to design and implement a solution for efficiently managing custom and service-published conda environments, significantly improving transparency and usability for OCI Data Science users.
• Played a pivotal role in enhancing OCI Environment Store's capabilities, including building tools for environment versioning, lineage tracking, and automated container image creation, boosting productivity and compliance with security standards.

Large Language Model Support

• Facilitated / aided the model deployment of large language models (LLMs) using model by reference features within OCI Data Science Model Catalog. This feature is supporting some of the products such as AI quick actions (aqua).

Worked majorly on designing and developing the features which helps in onboarding the more customers and improves the customer experience. Involved in designing multiple features, design reviews.

Projects

• Designed and presented an idea of proactive refund system to improve the customer experience on Amazon invoice platform in hackathon, which was among the highly rated ideas.
• Developed this feature. It prevents the duplicate payments, proactively identifies the refund cases and also publishes the business metrics around the refund cases
• Designed and developed the audit trail system that chronologically store audit events to provide history. These records provide proof of compliance and operational integrity.

Led the design and development of applications which are mainly targeted to improve the internal client experience.

Projects

• Implemented a tool named custom connector. This tool acts as a bridge between two proprietary applications for syncing purpose.
• This implementation replaced the existing licensed connector, JIH, provided by JAMA software. Earlier, the licensing cost was around $25k

• Implemented application tools for multiple clients for visualizing the solar tracker data