
As software engineer at a leading financial institution, I've driven impactful initiatives focused on streamlining processes and harnessing cutting-edge technologies. With a keen emphasis on automation and efficiency, I've led transformative projects in client automated onboarding, leveraging microservices architecture and distributed messaging systems to expedite processes and optimize resource allocation. Additionally, I played a pivotal role in architecting solutions for consolidating and managing client data, utilizing real-time APIs, big data technologies, and cloud platforms to enhance scalability and performance.
My expertise spans a wide array of technologies, including Java, C++, SQL, Scala, and various frameworks such as Spring Boot and React. I've also demonstrated proficiency in database management systems like Oracle SQL and PostgreSQL, alongside hands-on experience with tools like Kafka, Spark, and Google Cloud Platform.
Throughout my career, I've been recognized for my ability to drive innovation and deliver tangible results, whether it's achieving remarkable automation rates, migrating to cost-effective microservice solutions, or optimizing processes to yield substantial cost savings. With a passion for learning and a dedication to leveraging technology to solve complex challenges, I am committed to driving forward-thinking solutions that make a lasting impact.
Key contributor in the Group Party Data Service Project, aiming to consolidate party data across all the
divisions of the bank by assigning a unique ID (GPID) to each client.
• Onboarded client data from 10 divisions of the bank within the first 3 months.
• Utilized Scala to architect real-time APIs for GPID assignment on an individual basis and harnessed Spark
for batch APIs, capable of assigning GPIDs to 1000 parties within minutes.
• Implemented the Damerau Levenshtein algorithm for fuzzy matching and brought the accuracy up to
92%.
• Deployed the application on the Google Cloud Platform (GCP), achieving a significant milestone as the
first team within the investment banking division to adopt GCP.
• Enabled effective financial crime risk management by assigning unique IDs to 43 million clients, aiding
in loan and risk calculation for Risk Finance and Treasury.
Led the architecture and development of the Underlying Principal onboarding automation project,
expedited the process from two weeks to less than an hour, saving 79 man-hours for each onboarding.
• Implemented Kafka with SpringBoot to optimize communication between 15 microservices.
• Spearheaded the automation of 70% of US fund onboarding processes, driving competitive advantage
and boosting client retention.
• Streamlined onboarding procedures, reduced manual efforts from 5 Ops users to a single user, and
eliminated client back-and-forth interactions.
• Achieved an exceptional 95% automation rate during the project's second phase.
• Received the recognition award for outstanding contribution to the project, highlighting impactful results
Played a pivotal role in migration from costly third-party software to a robust microservice solution,
resulting in annual savings of 9.3 million euros for the bank.
• Transitioned the data attribute stored procedures from PL/SQL to Spring Boot microservices.
• The revamped product optimized processes and yielded significant cost savings, reducing legacy
software login expenses by 300 euros per month.
CGPA: 8.05
Percentage: 88.4
Java
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