Backend engineer driving system-level architecture and platform evolution for high-scale payment systems (~$100B+ TPV). At Braintree/PayPal (BillPay), I operate at the intersection of engineering, product, and operations - owning critical systems where financial correctness, reliability, and latency directly impact revenue and merchant trust.

I focus on defining technical direction, aligning cross-functional teams, and building scalable, resilient systems that support high-volume financial workflows.

▪ Drove backend strategy and execution across the BillPay platform (~$100B TPV), aligning engineering, reporting, and upstream data teams to improve system scalability, reporting accuracy, and merchant experience.

▪ Led the architectural transition from legacy systems to a real-time, event-driven platform (Kafka) - establishing a transaction-driven source of truth for payouts and improving data consistency, transparency, and operational reliability across systems.

▪ Designed and scaled a biller-level observability and anomaly detection platform, enabling proactive detection of transaction anomalies and protecting revenue across high-volume merchant flows.

▪ Owned end-to-end reliability for critical financial workflows, elevating system availability to 99.99% and reducing incident resolution time by ~30% through improved observability, alerting, and operational practices.

▪ Influenced platform modernization efforts, enabling new product capabilities and improving system extensibility, while reducing coupling with legacy systems.

▪ Drove QA and release quality transformation by defining and leading the migration from a monolithic Ruby on Rails regression framework to a scalable, API-driven automation platform (GraphQL), doubling validation speed and reducing maintenance overhead by ~40%.

▪ Managed 17 elastic environments across the globe, ensuring centralized logging capabilities for providing crucial logging and metrics solutions for global partner teams.

▪ Engineered, deployed, and sustained microservices with Spring Boot, delivering Restful APIs and leveraging Elasticsearch for robust data persistence. Ensured data integrity and user privacy by implementing JWT token-based authentication for Rest APIs. Adopted Swagger for API documentation, streamlining functionality checks, and elevating developer experience.

▪ Led initiatives to improve code coverage and quality through the creation of unit and integration tests using JUnit and Mockito.

▪ Crafted and led the development of custom pipelines utilizing bash and PowerShell scripts in Azure DevOps, streamlining processes, enabling efficient CI/CD implementation, and reducing deployment downtime while enhancing overall agility.

▪ Led audit disaster recovery processes spanning development, QA, stage, and production environments, slashing downtime by 90% and ensuring uninterrupted business operations. Additionally, delivered timely support and troubleshooting to over 3000 developers and 100+ partner teams, bolstering infrastructure resilience and performance.

As the instructor of the graduate coursework "Essentials of Programming", I guided students through a comprehensive curriculum, focusing on fundamental programming concepts and data visualization. Many of my students secured positions in top financial institutions in NYC, validating the effectiveness of our coursework in preparing them for success.

▪ 𝗖𝗼𝘂𝗿𝘀𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 & 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻: Developed comprehensive curriculum for 49 students covering Python data analysis, visualization in Tableau, and practical projects.

▪ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗚𝘂𝗶𝗱𝗮𝗻𝗰𝗲: Mentored students in real-world projects, including automating university processes and analyzing stock profiles and e-commerce data.

▪ 𝗞𝗲𝘆 𝗦𝘆𝗹𝗹𝗮𝗯𝘂𝘀 𝗧𝗼𝗽𝗶𝗰𝘀: Covered Python fundamentals, libraries (Pandas, Matplotlib, etc.), and advanced Tableau visualization techniques.

▪ 𝗜𝗺𝗽𝗮𝗰𝘁𝗳𝘂𝗹 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: Led teams in automating university processes, evaluating stock profiles, and analyzing purchasing behavior on Amazon.

▪ 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 & 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽: Provided individualized support to students, fostering teamwork and collaboration in a supportive learning environment.

𝗟𝗲𝗱 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:

▪ Interacted closely and facilitated effective communication with lab members to drive product vision and strategy, fostering a collaborative environment conducive to innovation.

𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻:

▪ Designed an iOS app leveraging augmented reality to immerse students in the exploration of animal habitats. Through engaging AR gameplay, users identify animals, listen to their calls, and delve into their behaviors and habitats, enriching educational experiences. Additionally, the app generates reports allowing laymen to contribute observations, aiding ecologists in research efforts.

𝗜𝗺𝗽𝗮𝗰𝘁𝗳𝘂𝗹 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀:

▪ My app empowered children to explore and learn about wildlife in their natural habitats, igniting their curiosity in this field. By enabling users to report animal sightings, it also supported ecologists' research efforts, facilitating data collection and analysis for valuable scientific insights.

𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: Swift, AR SpriteKit library for augmented reality functions and Google Firebase for the backend.

In my tenure with Accenture's R&D department within the Advanced Technologies and Architectures group, I spearheaded groundbreaking projects at the intersection of artificial intelligence and machine learning, revolutionizing how industries engage with technology.

▪ 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁/𝗖𝗵𝗮𝘁𝗯𝗼𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗮 𝗕𝗮𝗻𝗸

Engineered and upheld the backend infrastructure for a virtual assistant/conversational agent using C#. Applied NLP and NLU techniques to understand user intent and provide relevant responses. Trained the assistant with FAQs using a machine learning model and deployed it on Azure. Successfully launched the application on the Bank's website within a 3-week timeframe.

▪ 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗿𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿 (𝗔𝗜 𝗛𝗮𝗰𝗸𝗮𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁)

Crafted the chatbot interface for a virtual recruiter app using Microsoft Bot Framework. Utilized QnA Maker for candidate interviews, scoring correct responses for HR consideration.

▪ 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗛𝗮𝗿𝘃𝗲𝘀𝘁𝗶𝗻𝗴 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗘𝗻𝗴𝗶𝗻𝗲

Designed a module to crawl Wikipedia, enriching vocabulary within an intelligence engine. Conducted feature extraction and built a Word2Vec model for semantic understanding, employing TF-IDF for query relevance scoring.

▪ 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗳𝗼𝗿 𝗮𝗻 𝗜𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝗮𝗻𝘆

Developed and integrated modules within a virtual assistant application for an insurance client, enabling it to handle customer inquiries across social media and the client's website. Incorporated the Stanford POS tagger for Named Entity Recognition, facilitating real-time identification of insurance-related information. Additionally, integrated the virtual assistant with various social media platforms for enhanced accessibility and enabled multilingual communication using the Google Language Translation API.