Designed a note auditing / correction tool, thereby streamlining scribing quality, increasing customer satisfaction by 43%.

Architected a scalable data analytics infrastructure, enabling faster decision-making for the leadership.

Led initiatives to manage sensitive healthcare data, ensuring compliance with trust and safety standards.

Wrote well-designed and testable code using C

Designed functional tests and validation procedures using internal tools and Perl programming language

Applied Linux Kernel principles such as locking, multi-threading, and security paradigms etc.

Leveraged several tools such as Crash / GDB, x64 Assembly, Perl, Git, linux command line tools such as grep, awk, sed, vim etc.

Delivered code in a microservices-based model that dealt with data of millions of products, using the big data library Apache Spark and ElasticSearch, to rank them in their correct categories in AWS S3

Aided in the ranking of products by implementing Thompson Sampling, an exploration/exploitation probability model, which brought less-popular products up in the rank

Collaborated with a team of 9 on ideas for new ways of optimizing product ranking and curating

Contributed to Correction of Errors during the peak, Q4, Thanksgiving period

Led A/B-testing of the experiment which produced 3% increase in sales within 1 week after the end of the project, in key markets such as UK, Germany and France