# Sanchit Saini

> Senior Software Engineer | Backend, Platform Engineering, Distributed Systems, Cloud Infrastructure & AI Data Platforms | Java, Python, Scala, Go | Microservices • RAG/AI

Location: San Jose, California, United States
Profile: https://flows.cv/sanchitsaini

6+ years building distributed systems, backend platforms, and data infrastructure at scale across Oracle, Splunk AppDynamics, Cisco and Fungible (now part of Microsoft).

Recent work includes building async data connectors that reduced ingestion time from days to under an hour, designing a metered billing framework for enterprise-scale AI platforms, and implementing the retrieval layer for a RAG-based AI assistant to accelerate customer onboarding and support. I work across the backend stack with Java, Python, Scala, and Go, with depth in distributed systems, microservices, cloud infrastructure, and AI data pipelines. 

I’m most energized by backend, platform, and AI infrastructure problems where scalability, reliability, and sound system design matter.

## Work Experience
### Senior Member of Technical Staff @ Oracle
Jan 2025 – Present | San Francisco Bay Area
• Architected an async data connector for Oracle's Fusion AI data platform that reduced ingestion time from multiple days to under an hour, eliminating timeout failures at scale
• Designed and built a rate-limiting and metered billing framework for Oracle's AI platform from scratch, enabling usage-based pricing for premium feature tiers across enterprise customers
• Built the integration and retrieval layer for a RAG-based AI assistant using Oracle Cloud Infrastructure, enabling semantic search over product documentation to accelerate customer onboarding and support

### Software Engineer III @ Splunk
Jan 2022 – Jan 2024 | San Francisco Bay Area
• Re-engineered Splunk AppDynamic's email microservice for customer notifications - transitioning from Mailgun to AWS SES, improving bulk mail delivery performance by 16%
• Implemented a new filter for Splunk AppDynamics's portal notifications platform - allowing faster communication for premium customers during outages and reducing critical incident response times by ~ 35 mins
• Engineered an API to generate per-tenant APM agent reports from Snowflake — enabling 500+ enterprise customers to assess TLS and version compatibility ahead of AWS Classic Load Balancer deprecation
• Reduced monthly AWS RDS costs by 12% for AppD’s Accounts infra by enforcing tagging policies, tracking resource utilization and removing redundant reader instances

### Software Engineer II @ Cisco
Jan 2020 – Jan 2022 | San Jose, CA
• Designed and developed a microservice for data protection policies managing up to 2,000 VMs per policy, improving scalability and simplifying centralized policy management
• Architected, developed, and successfully delivered a key feature for a major product release - snapshot retention capability for the distributed data protection platform under Cisco Hyperflex
• Improved engineering productivity of teams in the organization by parallelizing integration tests in the disaster recovery and backup test suites as part of the CI/CD pipeline, reducing typical code check-in times by over 20%
• Developed REST APIs to leverage disaster recovery features such as VM migrate and VM restore at remote site. Integrated and tested these new APIs with an existing microservice in Cisco Intersight responsible for executing and orchestrating restore/recovery operations
• Instrumented disaster recovery and data protection workflows with context-rich logging and robust error handling, reducing bug backlog by ~30%

### Software Engineer Intern @ Fungible Inc., Acquired by Microsoft
Jan 2019 – Jan 2019 | San Francisco Bay Area
• Interned at this promising startup which got acquired by Microsoft in January 2023
• Successfully implemented the PostgreSQL wire protocol for Fungible’s cooperative multitasking OS (FunOS) wherein SQL APIs were being developed to store and retrieve data stored in parquet format, allowing for highly efficient column-wise compression and optimizing storage space by ~22%
• Developed and deployed Spark applications for analytics workloads at Fungible, reducing memory usage by ~15% over comparable Hadoop MapReduce jobs and lowering monthly cloud infrastructure costs

### Teaching Assistant @ Northeastern University
Jan 2019 – Jan 2019 | San Francisco Bay Area
Teaching Assistant for CS 5002 (Discrete Mathematics and Data Structures). Offered office hours to answer student questions, reinforce materials taught in class

### Software Engineer Intern @ Infosys
Jan 2017 – Jan 2017 | Mysuru Area, India
• Researched, studied & cleaned raw data from multiple e-commerce websites using Informatica ETL
• Leveraged the 'filtered' data to predict sale estimates, growth trends using IBM Cognos Framework Manager & Reporting Studio
• Devised an algorithm to detect the presence of malaria bacteria in microscopic blood sample images using OpenCV, reduced diagnosis time by 82% compared to traditional human testing


## Education
### Master's degree in Computer Science
Northeastern University

### Bachelor's degree in Computer Science
Chitkara University


## Contact & Social
- LinkedIn: https://linkedin.com/in/sanchitsaini1995

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Source: https://flows.cv/sanchitsaini
JSON Resume: https://flows.cv/sanchitsaini/resume.json
Last updated: 2026-04-20