At Ribbon, we’re building the infrastructure to transform billions of care decisions.

Our data platform fuels healthcare enterprises with actionable provider information, including insurance coverage, prices, and performance. By partnering with Ribbon, you can empower people to make the most informed decisions about their care by finding trusted, affordable providers.

Together, we can create a healthier future where people receive exceptional care.

In my role as an engineer, I build out functionality to improve our data and distribution infrastructure, advocate for technical excellence and a strong engineering culture in order to give us the scale we need to power every healthcare decision to be accessible, affordable and high quality.

Data Science For All / Empowerment offers the best data analytics training in the world. The program, taught by instructors from top universities like Harvard and MIT, is an immersive 13-week (Saturdays only) training program in practical data skills with a 6% acceptance rate for the first cohort.

At Tarseer we are developing an accessible platform to reliably collect information on the eye to deepen understanding of eye function and structure and allow for the detection and monitoring of diseases.

Lead Engineer and architect of a 100K+ lines codebase, of which I contributed 101K+ additions and 48K+ deletions

Developed a modular framework to enable rapid prototyping of visual field algorithms with functionality to enable workflows across multiple hardware components

Performed extensive research on eye tracking technologies, visual field testing devices, and visual field testing algorithms to inform the design and patent of an accessible headset

Raised pre-seed investment by pitching and winning the Tufts 100K Ventures, Ricci Milva Prize, and Startup Nation Competition (2nd place), McGinnis Venture Competition (3rd place)

Tested 100+ patients in hospital; Boston Globe’s Class of 2017’s MVP Entrepreneurs; Most Disruptive Technology Award from the Yuzz Santander Bank Incubator and attended Madgera Incubator in Israel

Online/offline data-infrastructure - (mongo, kafka, redis, rocksdb) + (hadoop, luigi, hive, scalding, presto, redshift, kerberos, aws EMR). Data pipeline management and maintenance. Implementation of monitoring and dashboards for various parts of tech stack; including kafka, luigi, and hdfs.

Assisted in the engineering of a highly distributed key value store, built on Kafka, Redis, and

RocksDB. Transitioned a resource heavy portion of the Foursquare platform to use said key value

store. I made changes to the existing key value store to allow for automatic updates of configuration; which further eliminated the need to check the codebase. I researched RocksDB and Redis to assist in design decisions regarding key value store creation. I was the sole engineer who implemented RocksDB in Scala, accompanied by layers of RPC’s allowing for services to query appropriate data. I created automated and web interface tests to ensure the implementation for the data stores was correct. Throughout the summer I also employed Twitter’s Future API in order to process delayed data requests.