• Taught theory of Programming Languages to a batch of 50 graduate students as a Section Leader.

• Collaborated with senior management to strategize and undertake end-to-end development of a Data Processing and Data Validation Process to handle wholesale credit portfolio data worth more than $700B

• Supervised team of 3 developers through well-structured coding and testing plan to build NumPy-optimized Python framework for data processing; slashed loan default probability and loss prediction time by 90%

• Single-handedly designed and implemented customizable data validation app allowing 15+ analysts to put in ad-hoc data validation rules using Gherkin syntax; saved $128k+ in annual labor costs by reducing manual interaction

• Earned Spot Award in Process Excellence for spearheading development of 3+ process automation projects and library code optimizations to help a global team of 30+ developers save up to 8+ hours/person every week

• Engineered a distributed regression framework using Docker and Kubernetes scaling solution to automatically run 100+ heavy regression tests every night; decreased >250 hours of manual testing per release cycle

• Built and integrated a Groovy-based CI/CD Jenkins pipeline with Git and code quality control tools like SonarQube via webhooks and APIs; reduced unit test failures in production by 100% for 10+ libraries

• Coordinated with global tech and production teams to spot and treat 50+ critical code vulnerabilities in the production environment; saved the company from potential risk of SQL, eval Injections and DoS attacks