🩺 One API, All Health DataDevelopers at the fastest-growing digital health companies use Vital to access granular health data remotely from wearables and lab tests.Vital does the heavy lifting of integrating and maintaining API connections with wearables/medical devices and labs. Immediate access to reliable health data eliminates the engineering burden so digital health companies can focus on deriving key insights for their users.If any of these painpoints resonate - Vital can help.- You are lacking granular and personalised health insights from your users, most data is self-reported- Overspending on engineering cost + time going towards wearable integrations- Remote testing is valuable for you but you see its a compliance headache and logistical nightmare- You know customer convenience is king but you you only offer 1 modality of testing (vs 3 modalities)- Your testing capabilities are limited to certain states, you need to scale

The easiest and most reliable way for employers to procure and utilize testing within their workforces.

CTO of a robotics company serving the drone services industry focusing on completely unsupervised drone operations from ground to air to ground. Essentially we turn complex flying machines into a browser-bound data acquisition device. We primarily serve the critical infrastructure protection industry.I manage a diverse team attacking problems in electrical engineering, automation, reliability engineering, actuation, materials and manufacturing, controls, sensing, data storage, back end/front end cloud services, and networks/telecommunications. We really have something for everyone.

Went through the Y Combinator program as a founder of Airmada, Inc. the summer of 2015 (S15) and pitched at the W16 demo day.

Graduate student at the MIT aero/astro department. Conducting research in avionics fault tolerance.

Design and develop flight software to run within computer systems on board several spacecraft. Primary work is in implementing and testing Guidance, Navigation and Control (GN&C) algorithms. Additional roles including launch control operations at Cape Canaveral as FSW and NAV roles.Also worked as a Guidance Navigation & Control engineer, primary roles were pathological failure case analysis for Dragon, and Crew Dragon algorithm development.

Developing a distributed mesh sensor network solution to monitor livestock position, and heart rate for the purpose of monitoring herd state and detecting anomalous conditions such as theft and/or poaching of the animal. Strict limits imposed on form factor, battery life, as well as invasiveness of the sensor due subcutaneous application.

Developed embedded solutions to support testing infrastructure of the power team in Google's Platforms group.

Worked on interoperability solutions for various defense systems, as well as managing, performance analysis, network programming.