Samarth Jain Email & Phone Number

San Francisco, Ca, Us

- Streamlined AI deployment using AWS, Python, Github Actions and Terraform, which led to a ~84% AI cost reduction over 3 months.

San Francisco, Ca, Us

- Contributed to core AI Medical Scribe software in a dynamic startup, helping practitioners save ~3 hours daily through rapid prototyping and iteration.- 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.

Austin, Texas, Us

- Developed new features and maintained code base of volume management and file system kernel drivers on Linux- 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.

Seattle, Wa, Us

- Improved the ranking algorithm at Amazon Gifting, a curated catalog of products designed to inspire gift ideas, by using Java and Spring- 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

Champaign, Il, Us

- Qualitatively analyzed and implemented a Neural Net on human genomic data of more than 15,000 patients to find patterns between bacterial taxons from those DNA sequences and human habits and diseases- Cleaned and prepared data using multiple techniques, such as Principal Component Analysis, on Pandas in Python- Generated a Neural Net out of the cleaned data on Keras in Python and experimented with different data splits for cross-validation

Champaign, Il, Us

-Worked at Center for Cognitive Systems Computing Research-Developed an artificial cognitive system that can be used in the media, files, content of Massive Open Online Courses etc., and classify it-Collected data from web using Python and Beautiful Soup to extract information from sites like Wikipedia

Bachelor Of Science - Bs, Computer Engineering

Bachelor Of Science - Bs, Computer Engineering

High School