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Sharad Tripathi

Engineering at Salesforce AI Platform | Ex - MTS at Oracle (OCI)

Bangalore Urban

4+ years of work experience

Salesforce
Jan 20251 yr 10 mosPresent

Bangalore Urban, Karnataka, India

Engineering the core distributed systems powering metrics and monitoring for enterprise grade Predictive and Generative model predictions at Salesforce AI Cloud.
Oracle
Jun 20222 yrs 8 mosJan 2025

Bengaluru, Karnataka, India

• Engineered core backend APIs and data plane architecture to scale and secure the OCI Public DevOps Deployment service across 100+ global cloud regions. • Helm Critical Resource Protection: Designed and built the core Terraform provider extension enforcing three-way helm-diff interceptors; cut SEV-1/SEV-2 destructive production incidents by 50% and protected multi-million dollar clients from accidental infrastructure erasure. • 100+ Parallel Deployments: Scaled the OCI DevOps data plane to support the platform’s flagship 100 concurrent stage deployment capability; eliminated critical multi-threaded race conditions in the Kiev key-value store via per-stage bucket isolation. • 99.95% Service Availability: Optimized canary workflows and refactored Java exception handling to drive weekly deployment failure rates down to 0.01%, directly hitting strict enterprise 99.95% CASE metrics. • Kubernetes Cost Efficiency: Designed namespace-scoped OKE deployment infrastructure using Java Spring Boot, allowing customers to isolate targets and reducing their operational compute costs by 40%.
Oracle
Jun 20212 mosJul 2021

India

Worked with Oracle Cloud Infrastructure Developer Life Cycle Build team, worked on integrating bitbucket.org support in OCI build services – Used Java, Docker, JUnit5, Mockito, and other technologies to build, test, and run the code

Sharad’s AI Stack

claude code
claude code
claude
claude
codex
codex
openai
openai
opencode
opencode

Education

National Institute of Technology, Tiruchirappalli

Bachelor of Technology - BTech, Computer Science and Engineering

National Institute of Technology, Tiruchirappalli

20184 yrs2022
Suguna PIP School - India

Suguna PIP School - India

20152 yrs2017

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Headline

Engineering at Salesforce AI Platform | Ex - MTS at Oracle (OCI)

About

As a member of the Salesforce AI Platform team, my role revolves around leveraging problem-solving skills and a deep understanding of distributed systems to enhance cloud services. Graduating from the National Institute of Technology Trichy with a Bachelor's in Computer Science, my educational background has been the cornerstone for my technical competencies. At Salesforce, my focus is on contributing to a team that thrives on innovation and collaboration. With a drive to continuously learn and apply cutting-edge technologies, I'm committed to delivering solutions that address real-world challenges, ensuring our cloud infrastructure meets the evolving needs of our users.

Location

Bangalore Urban

AI stack

claude code

claude

codex

openai

opencode

Work experience

Software Engineer 2 (MTS) at Salesforce, Jan 2025 - Present · 1 yr 10 mos, Bangalore Urban, Karnataka, India, Engineering the core distributed systems powering metrics and monitoring for enterprise grade Predictive and Generative model predictions at Salesforce AI Cloud.

Member Technical Staff at Oracle, Jun 2022 - Jan 2025 · 2 yrs 8 mos, Bengaluru, Karnataka, India, • Engineered core backend APIs and data plane architecture to scale and secure the OCI Public DevOps Deployment service across 100+ global cloud regions. • Helm Critical Resource Protection: Designed and built the core Terraform provider extension enforcing three-way helm-diff interceptors; cut SEV-1/SEV-2 destructive production incidents by 50% and protected multi-million dollar clients from accidental infrastructure erasure. • 100+ Parallel Deployments: Scaled the OCI DevOps data plane to support the platform’s flagship 100 concurrent stage deployment capability; eliminated critical multi-threaded race conditions in the Kiev key-value store via per-stage bucket isolation. • 99.95% Service Availability: Optimized canary workflows and refactored Java exception handling to drive weekly deployment failure rates down to 0.01%, directly hitting strict enterprise 99.95% CASE metrics. • Kubernetes Cost Efficiency: Designed namespace-scoped OKE deployment infrastructure using Java Spring Boot, allowing customers to isolate targets and reducing their operational compute costs by 40%.

MTS Intern at Oracle, Jun 2021 - Jul 2021 · 2 mos, India, Worked with Oracle Cloud Infrastructure Developer Life Cycle Build team, worked on integrating bitbucket.org support in OCI build services – Used Java, Docker, JUnit5, Mockito, and other technologies to build, test, and run the code

Education

Bachelor of Technology - BTech, Computer Science and Engineering, National Institute of Technology, Tiruchirappalli

Suguna PIP School - India