Rishabh Varshney

Software Engineer

Chandausi, Uttar Pradesh, India5 yrs 3 mos experience

Most Likely To Switch

Key Highlights

Led a team in real-time fraud detection systems.
Designed a scalable payment gateway for millions of transactions.
Developed a No-Code platform for fraud rule deployment.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech solutions with a strong focus on fraud detection and data engineering.

Contact

rishabh.varshney@bharatpe.com LinkedIn

Skills

Core Skills

Fraud And Risk ManagementBackend EngineeringData EngineeringSoftware Development

Other Skills

AlgorithmsAmazon PayApache KafkaBig DataBig Data ProcessingC (Programming Language)Customer Fulfillment SystemsData AnalyticsData StructuresDynamic Risk ScoringETL PipelinesIntegration with BanksJavaMachine LearningMicrosoft PowerPoint

About

Having interest and exposure in newly Fintech world: Payments: Payment Gateway, Fraud & Risk Management: Chargebacks , Equity derivatives and Forex. Worked on multiple domains: Backend engineering and Data engineering(Big Data). Currently working and enjoying as a backend engineer.

Experience

Bharatpe

2 roles

SDE-3

Promoted

Apr 2025 – Present · 11 mos · Gurugram, Haryana, India

1. Leading and managing the Sherloc Team, The Fraud and Risk Management team, focused on protecting users and business systems from financial threats in real time.
2. Working with a passionate team of enthusiastic engineers to design and build highly scalable, low-latency, and resilient systems capable of handling millions of events per day.
3. Driving architecture and development of intelligent risk detection pipelines, real-time decision engines, and scalable alerting systems.
4. Collaborating cross-functionally with Risk, Data engineering, operational, compliance, and infrastructure teams to ensure robust fraud detection and prevention.
5. Championing a culture of ownership, performance, and continuous improvement, with a strong focus on system reliability and operational excellence.

Fraud and Risk ManagementReal-time Decision EnginesScalable SystemsBackend Engineering

SDE 2

Mar 2023 – Mar 2025 · 2 yrs · Gurugram, Haryana, India

Sherloc – Real-time Fraud & Risk Management
1. Designed and implemented Sherloc, a high-performance, low-latency in-house Rule Engine to
detect fraud in real time.
2. Built as a No-Code platform, enabling risk and ops teams to define and deploy fraud rules without engineering involvement.
3. Achieved massive scalability, handling millions of events per day with sub-millisecond latency.
4. Enabled dynamic risk scoring, real-time blocking, and alerting with extensible rule logic and high
availability.
Payment Gateway (PG) Team
1. Part of the core team behind the development of BharatPe's internal Payment Gateway system.
2. Built to support all internal products for payment acceptance and refunds across merchant and
customer-facing flows.
3. Focused on ensuring high availability, reliability, and scalability to support mission-critical money
movement across the ecosystem.
4. Integrated with multiple banks, payment processors, and internal services for seamless
orchestration

Rule EngineDynamic Risk ScoringPayment GatewayFraud and Risk ManagementBackend Engineering

Amazon

2 roles

SDE-1

Nov 2021 – Feb 2023 · 1 yr 3 mos

Amazon Pay: Offline Merchant Experience Team
Worked on multiple key features of Amazon Pay for Business App: Content Symphony(Dynamic offering based on a segment of merchants), and Settlement Reporting Experience which caters to our offline unorganized merchants(small merchants).

Amazon PaySettlement ReportingBackend Engineering

SDE-1

Jul 2021 – Nov 2021 · 4 mos

Amazon Home Services: VAS Tech Fulfilment Execution Team
Experimenting, designing and building systems with primary focus on customer obsession to enable fulfilment of Heavy & Bulky Services.

Customer Fulfillment SystemsBackend Engineering

Sigmoid

2 roles

Associate Software Development Engineer

Oct 2020 – Jul 2021 · 9 mos · Bengaluru, Karnataka, India

Worked as a Data Engineer for a client (one of fortune 500 company).
The major responsibilities are:
Built large-scale ETL pipelines.
Built centralised containers to handle retailers globally.
Wrote very complex queries to show data on business dashboards.
Key Tech-stack :
Kubernetes, Apache airflow, Google cloud platform, Big Query, Python.
Key Achievement :
Got Bravo Spot Award, for special contributions achieved over a small period of time.

ETL PipelinesBig DataPythonData Engineering

Data Engineering Intern

Jan 2020 – Oct 2020 · 9 mos · Bengaluru, Karnataka, India

During my Internship, I worked on BigData domains.
My project aimed to process very large-scale Twitter data efficiently and extract some information.
Key Tech Stack:
Twitter Rest APIs to extract data.
Apache Kafka as a messaging queue.
Spark to process data.
Python Flask to create APIs.
MongoDB as database.

Big Data ProcessingApache KafkaSparkData Engineering

Administration, national institute of technology , patna

Software Engineering Intern

May 2019 – Aug 2019 · 3 mos · Patna, Bihar, India

Build a Web-based Portal for students enrolling in NIT Patna through JoSAA 2019.
That Portal allows
1. New students to Self-register, Fees submission, Apply for hostels, RollNo generation, IdCard generation and many more things while enrolling in NIT Patna for smooth onboarding formalities.
2. Faculties to approve the admission.
3. Each department to get details of their students.
4. Hostel management to know the details of each students.
Around 1000 students admitted through this portal.

Web DevelopmentPortal DevelopmentSoftware Development