Shridhar Ramachandran

CTO

San Francisco, California, United States13 yrs 6 mos experience

Highly Stable

Key Highlights

Expert in building scalable payment systems.
Led engineering teams through rapid growth phases.
Strong background in high-performance computing.

Stackforce AI infers this person is a Fintech expert with strong engineering management skills.

Contact

Skills

Core Skills

PaymentsEngineering ManagementProduct Development

Other Skills

Cross-border paymentsCross-currency paymentsBanking integrationsTeam scalingOrchestration and routingBenefits productsIRS complianceSoftware DevelopmentLinuxSQLProgrammingAlgorithmsData StructuresEclipseShell Scripting

About

Love working at the intersection of technology and product. Broad experience in payments, data infrastructure, high performance computing, and all things startups.

Experience

Decagon

Agent Engineering

Nov 2025 – Present · 5 mos · San Francisco, California, United States · On-site

Rippling

2 roles

Senior Engineering Manager

Promoted

Jan 2022 – Nov 2025 · 3 yrs 10 mos · San Francisco Bay Area

2023 - 2025:
Eng Lead for Payments - building the rails for cross-border, cross-currency payments, owning several tier-1 systems across payment methods, orchestration and routing, FX, and banking integrations, and making sure employees/tax agencies/vendors get paid on time, every time. Turns out this is harder than it looks
Supported the team as it grew from 3 -> 17 engineers/TLs/managers across SF and Bangalore, scaling the platform from 3 to 50+ countries, XXX Million to XX Billion in annual TPV, 0 to XX Million in ARR (float + FX).
2019-2022:
Eng Lead for a suite of Benefits products - ACA Reporting, FSA, HSA, Commuter, and Global Pensions. Spent an unhealthy amount of time on irs.gov while 0-1 building, followed by rapid scaling

PaymentsCross-border paymentsCross-currency paymentsBanking integrationsTeam scalingEngineering Management

Software Engineer

Jul 2019 – Dec 2021 · 2 yrs 5 mos · San Francisco Bay Area

Strava

Software Engineer

Apr 2018 – Jul 2019 · 1 yr 3 mos · San Francisco

Data

Qubole

Member of Technical Staff

Jul 2016 – Apr 2018 · 1 yr 9 mos · San Francisco Bay Area

Apache Spark-as-a-service

Intel corporation

Graduate Technical Intern

May 2015 – Aug 2015 · 3 mos · San Francisco Bay Area

Intern for the GPGPU Algorithms and Performance Analysis team.
Implemented an OpenCL library and benchmarks for data clustering and parameter estimation of Gaussian Mixture Models using the Expectation Maximization algorithm

The ohio state university

Graduate Research Associate

Jan 2015 – May 2016 · 1 yr 4 mos · Columbus, Ohio Area

Graduate Research Associate in Prof P Sadayappan's High Performance Computing Research Laboratory. Did a bunch of research on GPUs and figured this field is going nowhere. Like there's definitely no chance any GPU company would be worth 4 trillion dollars some day right? Right??