Roopal J.

Software Engineer

San Francisco, California, United States5 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over seven years of experience in software engineering.
Expertise in fraud prevention using AI and ML techniques.
Proven track record in developing scalable data solutions.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in fraud prevention and data engineering.

Contact

Skills

Core Skills

Fraud PreventionData EngineeringContent ModerationBig Data

Other Skills

AI IntegrationAgile MethodologiesAirflowApache AirflowApache KafkaApache SparkBootstrapBulkAPICCascading Style Sheets (CSS)Chargeback MetricsData IntegrationData PipelinesData ReclassificationData Structures

About

With seven plus years of experience as a senior software engineer, I am passionate about developing secure, scalable, and reliable solutions for complex problems. Currently, I am a senior software engineer at LinkedIn, where I work on the designing and developing the new billing platform. Prior to this, I worked in Premium fraud team, integrating AI and ML techniques to prevent fraud and abuse on the linkedin platform. I also design and implement data pipelines and dashboards to monitor and analyze chargeback metrics, enabling data-driven decisions and actions. Previously, I was a software engineer at LinkedIn and Salesforce, where I contributed to various projects, such as employee verification, public content abuse, and cloud infrastructure. I have acquired multiple skills, such as algorithms, Java, Python, RESTful APIs, and big data streaming with Spark. I have also obtained a certification in AI and ML from IIIT Hyderabad, and published two papers on feature selection for HPV-mediated disease treatment. I am driven by the mission of creating economic opportunity for every member of the global workforce, and I value collaboration, innovation, and diversity. I am eager to bring my expertise and experience to the team and learn from the best in the industry.

Experience

5 yrs 9 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs 9 mos

Current Experience

3 roles

Staff Software Engineer

Promoted

Mar 2025 – Present · 1 yr 3 mos

LinkedIn Business Platform

Senior Software Engineer

Sep 2021 – Mar 2025 · 3 yrs 6 mos

Linkedin Business Platform

Software Engineer

Sep 2019 – Aug 2021 · 1 yr 11 mos

Adding defenses to prevent jobs and payment abuse on the LinkedIn platform
Single-handedly led the efforts to develop chargeback data pipeline and consuming it in downstream services across LinkedIn.
This chargeback data empowers the chargeback metrics dashboard which were a missing piece in the Payments Fraud funnel, this data is also sent to Microsoft Dynamic Fraud Protection API, used as a signal to approve or reject transactions due to Fraud
Designed & Implemented flow for automatic cancellation of premium subscription of Linkedin members who raised SepaDirectDebit Chargebacks, saving $1M in revenue by preventing cardholders filing additional chargebacks.
Mentored intern in Summer'20 on a critical deliverable of the Project
Core contributor of Project Bourne (aka. Employee verification) platform which gets invoked when a member takes action any action on behalf or the organisation. for e.g: Posting a Job.
Integrated 20+ signals leveraging geographical signals & internal reputation systems to detect suspicious Paid & Free Jobs. This led to significant reduction in Fraudent jobs live on Linkedin platform, increasing the overall defenses.
As Part of Public Content Abuse Team, developing a reclassification framework for reclassifying older data with newer definitions of data. Example: Reclassifying all Clean media hashes with newer Child Pornography hashes released periodically by the NCMEC database.
Owning and driving key initiatives in the legacy count based throttling platform
Tech lead, mentoring junior team members & summer interns, code reviews,part of onboarding, recruitment and interview processes.

Data PipelinesChargeback MetricsFraud PreventionAI IntegrationMachine LearningPublic Content Abuse+2

Salesforce

2 roles

Member Of Technical Staff

May 2019 – Aug 2019 · 3 mos

Associate Member Of Technical Staff

Jul 2018 – Apr 2019 · 9 mos

Developed scalable, robust, and reliable ETL Data Ingestion and Analytics solution for processing the data with a seamless onboarding experience for customers.
Technologies Used: Docker, Elastic Search, Kibana, Wave Analytics, Splunk, Oracle DB, Perforce, SimpleSalesforce API

Intuit

Software Development Intern

May 2017 – Jul 2017 · 2 mos

Worked on a big data project to determine High value customers. Received a Pre Placement Offer based on the performance.
Developed a rule engine in Python using rule composition pattern to determine whether a customer
satisfies HVC eligibility criteria or not
Wrote PySpark jobs to read data from Hadoop Clusters and used this for ingesting to rule engine
All code was reviewed, perfected and pushed to production
Completed a POC with Apache Airflow to schedule and organize various jobs as a DAG
Technologies Used: Hadoop, Hive, PySpark, Salesforce Bulk API, Apache Airflow, Python

Big DataPythonApache AirflowHadoopHiveData Engineering