Dec 2023 – Jul 2024 · 7 mos

Jul 2021 – Dec 2023 · 2 yrs 5 mos

• Orchestrated the development and maintenance of high-impact micro-services, facilitating millions of
• credit and payment transactions in collaboration with partners like Apple and GM.
• Engineered a feature enabling dynamic addition of offline features schemas at runtime, resulting in a
• remarkable reduction of schema update time from months to just a few hours.
• Migrated third-party fraud provider functionalities to in-house rule engine, optimizing costs while
• maintaining system flexibility and control.
• Pioneered an optimized hosting process for machine learning models using the Triton Library, slashing
• model update time and expanding scope for champion-challenger model tests.
• Implemented a robust system for calculating features from raw data using Airflow DAGs, Amazon
• SQS and PySpark, enhancing data processing efficiency.
• Enhanced fraud detection by 10% through a key role in upgrading the Phoenix model to accommodate
• various card types.
• Managed document verification service and onboarded various Line of Business to leverage the func-
• tionality of verifying government IDs thereby improving customer experience and compliance.

May 2020 – Jul 2020 · 2 mos

• Worked on models that helped the edTech startup understand better the performance and learning path of the students.
• Created Rest-API to deploy the models and models created by other interns.
• Used Hidden Markov Models, Scikit-learn, Numpy, Pandas, Flask, and Gunicorn in the whole project