Swami Sundaramurthy Email & Phone Number

At Graphite we are driving technological innovations to revolutionize healthcare data management and interoperability by developing comprehensive specifications and data platforms in partnership with visionary healthcare providers.Key Responsibilities:▻ Spearhead technology vision and roadmap development for the Graphite platform▻ Lead product evolution to.

I head Engineering at Graphite Health, a non-profit company that is digitally transforming healthcare. We're developing a cutting-edge digital health platform that utilizes AI and knowledge graphs to standardize health data securely and seamlessly. Our application platform, software development kit, and marketplace empower health innovators and software.

Austin, US

Mountain View, California, US

San Francisco, California, US

• Direct 3 globally distributed engineering teams—AI / ML services, workflow orchestration, and model management and experimentation for Salesforce Einstein. Lead managers to deliver critical services and build advanced.
• Scaled AI / ML inference by 3x to serve 10B predictions per day
• Executed Einstein digital transformation from batch prediction to real-time system by enabling real-time scoring support
• Secured Einstein platform to ensure safe infrastructure to process customer data without intermingling risk
• Earned Intelligence Platform Award in 2019 for technical contributions and leadership qualities
• Nominated for Salesforce TMP All-Star Award in 2020

Parenting is joyful, but at the same time all-consuming and relentless. Researching and planning extra-curricular activity options is time consuming and results in information overload. Kin's mission was to lessen these burden on parents by making discovery and planning of kids' activities seamless and efficient. Our vision was to build a personalized.

San Francisco, California, US

• Developed and led AI / ML strategy—real-time anti-spam, asynchronous task execution, and stream processing platforms. Grew engineering team to enable scale from hundreds to thousands of employees. Executed core.
• Achieved 10M+ in annual savings through efficiency strategy
• Delivered $3M+ in bottom-line savings—built AI to scale critical systems capable of initiating 2.2B+ actions per day
• Produced petabyte scale streaming data warehouse and migrated ads analytics pipeline—significant reduction in processing time from 10s of hours to under 15 minutes
• Reduced model training time from 10 days to 7.5 hours and increased model training from 4 per year to 10K per day

San Francisco, California, US

• Led projects extending Pinterest’s real-time anti-spam and anti-abuse infrastructure
• Led the effort to improve real-time filtering P90 latency from 100 ms to about 30 ms resulting insubstantial latency gains across all customers
• Added live performance stats to the core rule-processing system resulting in better rule visibility,detection & optimization of expensive rules, and faster debugability of live site issues
• Improved unit test and integration test framework enabling quicker implementation and testing
• Designed and led effort to build offline spam filtering to support needs of offline/hadoop systems
• Extended the real-time rule processing system to run in batch mode on Spark to allow for re-playing of old events on (new) rules to clean up after attacks

San Francisco, California, US

• Directed development and core strategies for anti-spam and anti-abuse infrastructure to reduce malicious content and prevent fraud. Built DSLs and UI to detect and respond to attacks. Created tools to reduce spam and.
• Achieved 200% increase in racy content detection accuracy by developing Caffe model
• Increased automated anti-spam response rates by 50%+
• Improved real-time filtering P90 latency from 100 ms to 30 ms resulting in cost savings and latency gains for customers

Sunnyvale, CA, US

• Led redesign of Geo APIs to deliver user location and geo-related use cases across all platforms. Architected low-latency, high-throughput web service and spearheaded transition of existing clients to new web service..
• Increased per-host throughput 10x and decreased latency by up to 80% with 300M+ requests per day by implementing redesigned GeoAPI
• Launched authorization platform supporting 10K+ requests per second per instance—horizontally scalable with <2 ms latency

Seattle, WA, US

• Built search infrastructure enabling product search capabilities for all Amazon-hosted properties at A9.com. Led redesign of search text processing pipeline. Designed and taught A9 University courses on software.
• Grew team from 30 to 100+ engineers as key member of recruiting and training team
• Extended A9 search engine capabilities to support Mandarin and Japanese
• Improved ranking data freshness from 2 weeks to 6 hours by enhancing near real-time indexing and serving systems

Redmond, Washington, US

Designed and built automated continuous feature extraction, feature selection, and training platform for Bing Search as search relevance infrastructure team member.

Oakland, CA, US

Eindhoven, Noord-Brabant, NL

Ms, Computer Science

Be, Computer Science

Bachelor Of Engineering, Computer Science