Akul Gokaram

Building AI systems for regulatory medical authoring. I shipped an AI-powered QC module end-to-end that cuts document review from hours to minutes, architected the model-agnostic LLM pipeline behind it, and serve as the release and support point-of-contact for one of our largest pharma clients.

Unlocked $50M+ in savings and increased operational efficiency by 25% through development of robust and scalable solutions to automate and enhance existing organization workflows for insurance claim processing and reporting

Implemented a pipeline to take in training data and thoroughly prepare it, then applying the data to train a custom model for document classification. Developed an API to utilize said model, integrating it into the company’s ECM solution. Collaborated cross-functionally to develop a system that utilized NLP and LLMs to analyze and extract information from documents for more thorough classification, fraud detection, and verification. Building robust data pipelines to facilitate all aspects of model creation and fine tuning.

Curated and facilitated a 1-credit STIC at UMD. The course addressed and focused on essential techniques for data science and covers R, SQL as well as case analysis and interview prep for data scientist roles.

Reduced network latency on critical routes by up to 20%, saving $500M+ in value through design and implementation of a high performance application to monitor critical components of the firm Wide Area Network (WAN). The utility tracked the latency, jitter, packet loss and fragmentation between all possible connections of the data centers within the WAN and updated monitoring services and databases in real time.

Worked as a TA for CMSC216: Introduction to Computer Systems. Facilitated an inclusive environment of student growth and comprehension by assisting and guiding students on course material and assignments during office hours. Proctored and/or graded worksheets, projects and exams for style and accuracy.

Worked in an agile development team to reconstruct and innovate a modern version of a wealth management application using technologies such as Angular, Spring Boot and Oracle DB