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Navneet Agarwal

Software Engineer

Bengaluru, Karnataka, India8 yrs 3 mos experience

Key Highlights

  • Expert in cloud infrastructure and machine learning reliability.
  • Led initiatives generating millions in revenue at Rippling.
  • Developed advanced pricing models at Goldman Sachs.
Stackforce AI infers this person is a Fintech and HR Technology expert with strong cloud infrastructure skills.

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Skills

Core Skills

Cloud InfrastructureMachine LearningProduct DevelopmentHr TechnologyCompliance ManagementQuantitative AnalysisFinancial TechnologyWeb DevelopmentApi Development

Other Skills

AWSGCPData PipelinesIndia CTC Configuration PortalSalary ConfigurationsITSG StandardsAudit FrameworkCountry ExpansionTeam LeadershipPayroll ServicesScalaPricing ModelsRisk ManagementProprietary Pricing EngineNodeJS

About

As an experienced software engineer with a strong focus on building core infrastructure, I specialize in enhancing product and platform reliability. Currently, I am part of the ML Infra team at Glean, where I ensure the reliability of machine learning pipelines and work extensively with cloud infrastructure (AWS and GCP) and data pipelines (Beam and Flink). In my previous role at Rippling, I was instrumental in the development of the Employment Of Record product, which enables companies to hire full-time employees in countries where they do not have an entity. My contributions significantly streamlined the hiring process for global companies, reinforcing Rippling's position as a leader in HR technology solutions. Prior to Rippling, I honed my skills at Goldman Sachs as a member of the core quant strats team. There, I developed sophisticated pricing models using Scala on our proprietary pricing engine, providing critical support to trading and risk management operations. With a robust background in software engineering and a proven track record in cloud infrastructure and data pipeline management, I am passionate about driving innovation and efficiency in tech infrastructure. My expertise lies in creating reliable, scalable solutions that power high-performing products and platforms. Outside of my professional endeavors, I am continually exploring new technologies and methodologies to stay at the forefront of the industry. I invite you to connect if you’re interested in discussing advancements in infrastructure engineering or potential collaboration opportunities.

Experience

8 yrs 3 mos
Total Experience
1 yr 11 mos
Average Tenure
6 mos
Current Experience

1mind

Member of Technical Staff

Nov 2025Present · 6 mos · Bengaluru, Karnataka, India · Remote

Glean

Software Engineer

Dec 2023Nov 2025 · 1 yr 11 mos · Bengaluru, Karnataka, India

AWSGCPMachine LearningData PipelinesCloud Infrastructure

Rippling

Software Engineer

Jun 2022Dec 2023 · 1 yr 6 mos · Bengaluru, Karnataka, India

  • At Rippling, I designed and built the India CTC Configuration Portal, a critical resource for our Indian clientele, generating $1 million in revenue. I enhanced the platform to allow clients to manage diverse salary configurations for different employee groups, with automatic calculations for hiring and transitions.
  • I led a company-wide initiative to comply with German ITSG standards, enabling seamless payroll services in Germany. I also guided a team of four engineers in developing the high-revenue Rippling EOR product, generating $300,000 in August across ten countries, including key markets like Germany, Brazil, Poland, and the Netherlands.
  • Additionally, I architected an alert framework for streamlined audit creation and integration, and executed a proof of concept for automating country expansion, doubling the speed of onboarding new countries.
India CTC Configuration PortalSalary ConfigurationsITSG StandardsAudit FrameworkCountry ExpansionProduct Development+1

Goldman sachs

3 roles

Associate

Dec 2020May 2022 · 1 yr 5 mos

  • Developed and enhanced the proprietary pricing engine, Tungsten. This involved two main components: payoff description and pricing infrastructure. The payoff description aimed to standardize trade representations across various pricing engines, ensuring a modular approach. Our team transitioned the pricing engine from a proprietary programming language to an open-source platform, utilizing Scala to eliminate dependencies on proprietary systems. I contributed significantly by enriching the payoff language and implementing models within our pricing engine to price trades. As a result, over 30% of FICC portfolio utilized this advanced pricing infrastructure, with further expansion underway.
ScalaPricing ModelsRisk ManagementProprietary Pricing EngineQuantitative AnalysisFinancial Technology

Analyst

Jun 2018Dec 2020 · 2 yrs 6 mos

Summer Analyst

May 2017Jul 2017 · 2 mos · Bengaluru Area, India

  • Worked on the prediction of risk charges and volatility interpolation in strike and expiry. Received a Pre-Placement Offer from Goldman Sachs for exceptional performance during the intership tenure.

Indian institute of technology, bombay

Teaching Assistant

Jul 2017Nov 2017 · 4 mos · Mumbai Area, India

  • Responsible for grading, setting up labs and guiding students in the course of Foundations of Network Security and Cryptography under Prof. Kameshwari Chebrolu

Efi

Intern

May 2016Jul 2016 · 2 mos · Bengaluru Area, India

  • Designed REST Framework APIs and a web application for a rule engine to facilitate the users to create their own business rules in a user friendly manner. Developed a user friendly UI for better interaction with the customer for operation on the rules using NodeJS and AngularJS along with HTML. Used MySQL database queries to support the creation, deletion and updation of rules through the UI. Used Mocha Unit Testing to test the correctness of the APIs

Zupp - the coolest carpooling app

Intern

Dec 2015Dec 2015 · 0 mo · Mumbai Area, India

  • Developed the back-end of a mobile app (a public opinion poll aggregator). Worked on Android Studio and integrated the app with the database using PHP and MySQL. Analysed the data collected in a week’s duration and displayed the results in a user friendly manner for the user to be able to make several comparisons

Education

Indian Institute of Technology, Bombay

Bachelor's degree with Honors — Computer Science with minor in Applied Statistics and Informatics

Jan 2014Jan 2018

St. Stephen's School, DumDum

ISC — Science

Jan 1999Jan 2014

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