Architected a scalable vector database that centralized and unified all patient documents, enhancing data accessibility and improving document retrieval efficiency for clinicians.Crafted an advanced Retrieval-Augmented Generation (RAG) system by leveraging the patient document vector database, enabling clinicians to ask real-time, personalized questions about patient histories.Leveraged OpenAI's Large Language Model (LLM) to extract Key Performance Indicators (KPIs) from clinical visit notes, reducing operations team time spent parsing notes by 80% and enhancing the accuracy of extracted data.Engineered a centralized patient summary system by integrating structured and unstructured data, streamlining access to critical information and reducing retrieval time for healthcare providers by 75%.Designed and implemented a readmission risk model that outperformed the LACE index precision by 10%, resulting in better transition of care for high risk patients.

Promoted to Senior level for routinely delivering end-to-end projects on time and with minimal supervision.Train and mentor new members of the team in engineering best practices and to fill knowledge gaps.Technical lead on 5 projects ranging from ETL pipeline to maintenance of production machine learning models.Translate business requirements into technical requirements improving business operationsProvide product analytics on the effectiveness of existing products ensuring top data qualityCreate dashboards using Tableau for quick insights on data

Provide ETL from over 20 Electronic Health Record (EHR) vendors containing structured and unstructured data Designed and maintained a deep learning model that correctly predicts patients developing diabetes 20% more accurately than baselineDeployed a logistic regression that predicts risk of hospital readmission helping reduce readmissions by 15%Built and maintain a Shiny dashboard that monitors 100% of hospitalizations for local primary care providersUse statistical methods to determine Hierarchical Condition Category (HCC) Risk for patientsCreated a Shiny app to audit all deliverables sent to more than a dozen clients saving 15 hours a monthDeliver automated ad-hoc reports daily to clients and businesses using python and R

After almost two year I was reassigned to work as a software engineer focused on frontend development. For the remainder of my time I worked on a team of 4 to maintain and create new features for our customer facing product and emails. Most of the work would consist of using CSS and Javascript.· Launched dozens of major features for the customer facing Node.js web application· Built intuitive email templates sent thousands of times and a day seen by millions of costumers· Maximized high-quality clean code with 100% unit test coverage and code reviews on GitHub

In the summer of 2015 I wanted a change and moved to New York City. I found a job working as a test engineer at Signpost. I spent most of my time setting up an automated test framework, using open source projects combined with code I wrote to create a fake SMTP server to send test emails to, and some manual testing.· Independently ran a team that designed and implemented tools using open-source libraries and SQL that enhanced efficiency of QA team and other engineering teams, cutting time for some tasks by 90%· Improved CI lifecycle by introducing an end to end automation suite for integration tests of product features allowing faster and cleaner deploys saving the QA team hours of work each deploy

I worked as a consultant for a major insurance company. During my time at Virtusa I learned new programming languages while focusing work as a business consultant. Most of my responsibilities were a point of contact between the tech team and the client

I worked with the Property and Casualty pricing department in Warwick, Rhode Island. I helped determine the price of auto and home insurance insurance in various states. I used excel and studio query to compile, read and analyze data.

I worked with the dean, assistant dean and faculty with any work-related tasks that need to be completed. Also performed administrative tasks using Microsoft Excel and Word.