Ankit Rajput

Software Engineer 3

PayPal•  April 2021 - July 2024•  Bengaluru, Karnataka, India

• Led the feature to ensure compliance with the Fair Credit Reporting Act. This initiative seamlessly dispatched Adverse Action notifications to eligible PayPal Working Capital (PPWC) applicants, handling an average global traffic of 10K users per day. • Architected and designed the Know Your Business (KYB) compliance feature with seamless launch across the EMEA region. The system processes around 100K requests per month. I contributed to the development of an email notification system and orchestrating smooth interactions with compliance APIs. • Contributed to the migration of the PPWC product to a new risk evaluation strategy that utilizes advanced machine learning and deep learning models. These models evaluate multiple loan application information in real-time to accurately assess lean applications for PPWC. • Worked on the expansion of PPWC into the Netherlands and France, focusing primarily on developing the acquisition flow for this initiative. This expansion led to a significant annual increase of 15% in PPWC's overall revenue.

Software Engineer

Paytm•  April 2020 - April 2021•  Bengaluru, Karnataka, India

• Enhanced financial accessibility by working on the User Loan EMI Product via the Paytm app and taking ownership of the Loan Account Management module, it enabled real-time user account creation. • Took complete ownership of building the Due Past Days (DPD) calculation module, demonstrating strong problem-solving skills to calculate elapsed days past the monthly EMI due date for over 1 million active Paytm users daily.

Software Engineering Specialist

General Electric (GE)•  July 2018 - April 2020•  Bengaluru, Karnataka, India

• Worked on the engineering module for PSC, enabling the field team to propose enhanced service plans for power plants. I created a Spring calculation engine to process real-time data from turbine sensors for discovering achievable improvements. The engine handled data volumes of up to 100 GB at a time. • Built an AI-powered service management ticket resolution system that leveraged text and image classification models to automate resolution of turbine cleaning use-case related tickets, reducing manual workload by 40 hours per week and improving overall efficiency.