Divakar Manoj Chinnaraju Subramaniam Email & Phone Number

San Francisco, Us

‣ Spearheaded Case Management for Fraud and Compliance Investigations, enhancing the identification, tracking, and resolution of fraudulent activities while maintaining regulatory compliance.‣ Developed a robust API for Business Verification and Screening, facilitating real-time validation of businesses and reducing onboarding friction.‣ Automated SAR and GoAML Reporting, boosting efficiency and accuracy in regulatory filings while ensuring timely submissions for AML compliance.‣ Collaborated with cross-functional teams, including sales and account management, to assist with pitches and upsell opportunities by showcasing Sardine’s compliance solutions.‣ Traveled to clients and partners, ensuring alignment on compliance products and providing hands-on support during the integration process to facilitate seamless adoption of Sardine’s platform.

San Francisco, Us

‣ Primarily focused on Go development while also contributing to Ruby on Rails for Sardine's crypto on-ramp product, ensuring high-performance and scalable services for financial transactions.‣ Developed a robust authentication service for all Sardine endpoints, providing secure and seamless access control as a foundational element of the platform’s security infrastructure.‣ Designed and implemented the proprietary Rules Editor, enabling the creation and execution of rules at scale for efficient fraud combat and real-time decision-making.‣ Established a data pipeline to aggregate data from the frontend SDK for fraud prevention and compliance monitoring, ensuring prompt anomaly detection.‣ Integrated multiple intelligence vendors (e.g., Prove, RDC, Emailage) to enhance the platform’s fraud detection and compliance capabilities through accurate risk assessments.‣ Engineered a prediction service for scalable deployment of machine learning models, improving fraud detection accuracy and operational efficiency.‣ Utilized tools like BigQuery, BigTable, Redis, and Airflow to build scalable, reliable systems for handling large data volumes.‣ Contributed to the crypto on-ramp product development, supporting various payment methods like card payments and Instant ACH for flexible and reliable user funding options.

San Francisco, Us

‣ First employee at Sardine, instrumental in shaping technology and product direction from the start.‣ Engineered browser fingerprinting technology with a confidence score system to enhance fraud detection.‣ Developed the frontend SDK used on hundreds of websites, collecting device, network, and behavior data for fraud prevention and compliance.‣ Built and maintained Device Intelligence features, including emulator detection, TrueOS identification, RDP detection, and behavioral biometrics for a multi-layered fraud defense.

Chennai, Tamil Nadu, In

‣ Developed a Data Aggregation and Recommendation platform for Komparify.com, evolving into a SaaS product for major clients like Amazon India and Paytm, providing personalized recommendations.‣ Worked with web crawlers to gather real-time data from OTT platforms (Netflix, Amazon Prime) and telecom providers (Airtel, Jio), normalizing data for accurate service recommendations.‣ Led a team to build a scalable recommender system using Node.js and Golang, managing millions of daily requests and enhancing user engagement.‣ Contributed to frontend and backend development, optimizing web pages and leading SEO efforts, which improved visibility, traffic, and user acquisition.‣ Leveraged Google Cloud Platform (GCP) for scalability and resilience, utilizing Compute Engine and Bigtable to create efficient data pipelines that scaled with user demand.‣ Integrated multiple digital wallets, including PhonePe and Google Pay, ensuring compliance with Indian regulations and a focus on security and data privacy.‣ Demonstrated technical leadership by mentoring engineers and leading teams to achieve business goals while adhering to best engineering practices.

Chennai, Tamil Nadu, In

‣ Redesigned the Komparify app’s home page to showcase dynamic graphs of real-time data usage and remaining data, along with features to track call and SMS usage, enhancing user engagement and providing actionable insights for plan management.‣ Built a scalable pipeline to scrape users’ SMS messages for tracking phone plan expirations and sending timely notifications, incorporating an intelligent filter to protect personal information and ensure user privacy.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering (B.E.), Computer Software Engineering