Sanket Singhal

CTO

San Francisco, California, United States10 yrs 9 mos experience

Highly Stable

Key Highlights

Led high-performing teams to build innovative solutions.
Developed scalable APIs for content moderation.
Expert in machine learning and data mining.

Stackforce AI infers this person is a SaaS expert with strong capabilities in machine learning and scalable solutions.

Contact

sanket.ksinghal@gmail.com +14085056854 LinkedIn

Skills

Core Skills

Distributed SystemsJavaMachine LearningData MiningAsp.net

Other Skills

AlgorithmsBashBig DataBig Data AnalyticsCC#C++C++ LanguageCSSData StructuresDjangoEclipseHTMLMavenNode.js

About

With over 8 years of experience in software engineering, I am passionate about building innovative and scalable solutions that solve real-world problems and create value for customers and partners. As a tech lead manager at Rippling, I lead a team of high performing engineers to develop a world class partner platform that helps our partners like accountants, brokers, and legal consultants to succeed in their business. I am driven by the mission of Rippling to make employee management simple, smart, and secure for every company, regardless of their size, location, or industry. In my current role, I am responsible for the technical vision, architecture, design, and delivery of the partner platform, which enables seamless integration, onboarding, and adoption of Rippling's products and services for our partners. I also collaborate with product, sales, marketing, and customer success teams to understand and prioritize the needs and feedback of our partners, and to deliver features and enhancements that improve their experience and satisfaction. Some of the skills that I use and enhance in my role are Python, Django, Mongodb, software architecture, design patterns, agile methodologies, code review, testing, debugging, and performance optimization.

Experience

1mind

Engineering

Jan 2026 – Present · 2 mos · San Francisco, California, United States

Rippling

4 roles

Senior Engineering Manager

Apr 2025 – Jan 2026 · 9 mos

Engineering Manager

Aug 2022 – Jan 2026 · 3 yrs 5 mos

EOR Capabilities and partner ecosystem
Leading two high performing teams to build a world class EOR and partner ecosystem.

Senior Software Engineer

Dec 2021 – Aug 2022 · 8 mos

Technical lead for Employer of Record(EOR) initiative. Technical lead for a team of 10+ engineers working on the state of the art EOR product which the team launched in record time.

Senior Software Engineer

Jan 2020 – Dec 2021 · 1 yr 11 mos

Technical lead for the Professional Employer Organisation(PEO) product. Part of the team which built the Rippling PEO from ground up.

Qubole

Software Developer

Jan 2017 – Jan 2020 · 3 yrs · Bengaluru Area, India

Worked on Hadoop code base, mostly on the YARN side. Some of the problems that I have worked on revolve around cluster bring up time optimization and cluster cost reduction.
Cluster Management | Hadoop | YARN | Amazon Web Services | Microsoft Azure
Java | Python | Bash | Maven | Distributed Systems

JavaPythonBashMavenDistributed Systems

Microsoft

2 roles

Software Engineer

Jun 2015 – Dec 2016 · 1 yr 6 mos · Hyderabad Area, India

I am a part of Bing Relevance team. I have worked on Query Understanding, Data Mining and Azure Cloud Service as part of my projects.
The key projects that I have worked on:
1. Filtration of inappropriate content from Bing auto suggest:
Developed a Machine Learnt based classifier for Query Intent Identification in order to filter out inappropriate content from auto-suggest. The model developed had really good precision and recall values and a Research Paper based on this project was submitted at Machine Learning and Data Science Conference, 2016, Microsoft Redmond.
2. A scalable API to be used for content moderation:
Developing a scalable API from scratch for content moderation using the existing Bing platform which required the understanding of full Bing Stack. Going further, the API can be used by developers inside Microsoft and beyond.
Technologies used: Machine Learning, Data Mining, Big Data, Classifiers, Azure Cloud Service, Bing Stack, C#, SCOPE, SQL

Machine LearningData MiningBig DataC#SQL

Intern

May 2014 – Jul 2014 · 2 mos · Hyderabad Area, India

An one stop portal to monitor and access the health of all the segments. The tool provides a comprehensive assessment for each segment taking into account several vital statistics that indicate the well being of each segment.
Technologies Used: ASP.NET, C#, ASP.NET AJAX, CSS, MS Chart Control

ASP.NETC#CSS