# Sujish Patel > Principal Software Engineer @ Ellipsis Health Inc. Location: Fair Lawn, New Jersey, United States Profile: https://flows.cv/sujish With over five years of experience in software engineering, I am a passionate and driven professional who strives to create innovative and impactful solutions that can improve the lives of millions of people. My core competencies include machine learning, cloud computing, full stack development, and product design. I am currently a Principal Software Engineer at Ellipsis Health, a leading company that leverages human speech to measure and manage mental health. At Ellipsis Health, I worked as a Lead Principal Software Engineer on the Product Team, where I spearheaded two standout projects. The first one was a Video Conferencing App that enabled real-time depression and anxiety score predictions using our proprietary technology. The second one was a Customer Facing Dashboard that provided insights and recommendations based on the post-call analysis of the conversations between patients and practitioners. For both projects, I used my skills in cloud firestore, blog management, databases, and various web frameworks and technologies. I also collaborated with cross-functional teams, including data scientists, UX designers, QA engineers, and business stakeholders, to ensure the quality, usability, and scalability of the products. I am proud of the outcomes and feedback that we received from our customers and partners, and I am eager to continue learning and growing as a software engineer. ## Work Experience ### Principal Software Engineer @ Ellipsis Health Jan 2022 – Jan 2023 | San Francisco, California, United States Worked as Lead Principal Software Engineer on the Product Team as Ellipsis Health. Ellipsis Health's primary technology provides depression and anxiety score using human speech, and our Team's job was to create products that integrated our tech into solutions that can be used by Healthcare Providers. During my time in the role, I worked on various projects and initiatives. I spearheaded two standout projects/applications. The first being a Video Conferencing App to handle a "Live Call" setting, where we were providing ML predictions in real time and the second being a Customer Facing Dashboard to handle "Post Call" setting where we would run our models after a conversation between a Patient and Practitioner had occurred. The Video Conferencing App While working on the product team, we envisioned how our technology could be used in a Live conversation setting. Thus I developed complete end-to-end video calling experience that demonstrated Ellipsis Health's speech analysis technology being used in a Live/Real-Time environment. The web-based app used WebRTC with a SFU middleman that supported group calling of over 1000+ participants, while being fully HIPAA compliant. The Customer Facing Dashboard While working on the product team, we envisioned a unified customer Dashboard to show the results of our machine learning driven anxiety and depression detection models as well as additional analytics in a "post-call" setting. Being the only engineer on the product team, I guided the entire product team on the new developments that needed to occur across the Engineering and ML Teams for a complete end-to-end Dashboard experience. The Dashboard experience was built from scratch using modern web technologies and framework, including but not limited to; Remix (Web Framework / API), Prisma (ORM), Postgres through AlloyDB (DB), Pulumi (IaC), and various GCP products (Cloud Run / Cloud Load Balancing / VPC Networking / Cloud Build / AlloyDB) ### Full Stack Engineer @ Ellipsis Health Jan 2021 – Jan 2022 | San Francisco, California, United States • Developed a complete end-to-end telemetry service with Google Cloud PubSub, HTTP/2, and client-side libraries to ease developer integration. • Unified cloud-based logs into a singular dashboard including but not limited too mobile app crashes. • Converted old JavaScript codebases into modern Typescript codebases reducing tech debt. • Resolved cold boot issues across our cloud functions stack through optimizations in the build pipeline, yielding a 300% decrease in startup time. • Identified and resolved various security concerns not found by third party pen testers. • Implemented incremental git driven deployment pipeline for incremental builds for all projects/codebases I worked on. • Developed a fully customizable Data Collection Application that assisted the ML Team in collecting data to train their ML models. • Developed an internal tool used by the Clinical Team to view CCDA files in a HIPAA compliant manner that assisted in the creation of various research papers. ### Full Stack Developer @ Elementus Jan 2020 – Jan 2020 | New York, United States • Implemented analytics pipeline from application code to data warehouse that can be used by developers, sales team, marketing team, and data engineers without a loss of flexibility for each division. • Setup complete authentication and authorization workflows from user app sign-in to backend key management that ensured all modern security practices: OAuth2, memorable passwords, etc. • Focused on implementing open-source solutions with optional hosted environments to support scale. • Worked primarily with NoSQL databases, MongoDB Atlas on the backend side, and minor work with IndexedDB on the frontend side to help with a storing a few of the larger datasets. • Set up CI/CD through Google Cloud Build and Cloud Run for deployment all occurring through GitHub. • Continuously implemented performance enhancements of all sizes: From turning 1300ms loops to 50ms, to implementing server-side GPU scaling to help optimize report generation workflows. • Researched and implemented various graph theory techniques such as Eigen Centrality, PageRank to help enhance our applications visual representation of the blockchain network as a graph. • Worked on front-end data visualization application with React. ### Software Engineer @ Netsmart Technologies Jan 2016 – Jan 2018 | Greater New York City Area • Implemented data models for use across company’s entire healthcare portfolio. • Focused on SDK and API backend layer that facilitates the processing of data to and from products. • Designed and implemented back-end functionality requirements for client funded developments. • Engaged with clients directly to ensure timely deliverables (during all hours of the day). • Deciphered cryptic third-party documentation when integrations between third party applications and company’s products are requested by client or required for healthcare certifications. ### Head of IT and Marketing @ Ellen Rosenbaum Real Estate Jan 2015 – Jan 2016 | Old Bridge, NJ • Drafted and implemented various marketing strategies online and on the ground • Identified ineffective advertising • Reduced time required to market new listings by 90% • Secured exclusive advertising placement on key Real Estate websites • Tailored marketing design to create a unified message and style • Organized marketing campaigns for individual agents • Managed all social media • Created all marketing visual ads from scratch (flyers, mailers, shopping cart ads, etc) ### Junior Financial Manager @ Ellen Rosenbaum Real Estate Jan 2013 – Jan 2016 | Old Bridge, NJ • Negotiated partnerships with complimentary businesses to subsidize all marketing expenditures • Audit all expenses to find areas of savings • Secured yearly savings of greater than $10,000 by identifying unused expenditures • Discovered over $5,000 in overpayments made on cancelled services • Provide monthly report on expenses • Guide upper management on all major company expenditures ### Junior Marketing and IT Specialist @ Ellen Rosenbaum Real Estate Jan 2012 – Jan 2014 | Old Bridge, NJ • Evaluated online programs and services to be integrated into day-to-day operations • Deployed two Windows servers into the workplace • Deployed exchange ready email backend • Implemented VOIP Desktop phones (moving away from copper phones) • Photographed new listings • Prepped new listings by installing lockboxes and signs • Deployed a comprehensive CRM for Real Estate Agents ## Education ### Bachelor’s Degree in Computer Science Rutgers University Jan 2012 – Jan 2016 ### Computer Science Boston University Jan 2011 – Jan 2012 ### High School in High Degree Fair Lawn High School Jan 2007 – Jan 2011 ## Contact & Social - LinkedIn: https://linkedin.com/in/justjish --- Source: https://flows.cv/sujish JSON Resume: https://flows.cv/sujish/resume.json Last updated: 2026-03-20