Building AI-powered solutions to auth and claims management for the world’s largest healthcare providers

● Founded startup focusing on custom software and data science development, successfully completing over 35 projects● Grew company from idea to annual revenue of over $1MM and structured equity stakes in select early-stage client businesses● Sourced all talent and managed teams of 2-8 data scientists, engineers, and designers, leading Agile Scrum on 2-week sprints● Dedicated time to internal products and ideas, including raising $250,000 for a mobile app in partnership with a high-profile celebrityProject Highlights:● Speed Networking: Developed a web-application and algorithm that matches users and allows them to go through a series of video networking meetings, achieving more matching customizability than all known competitor systems (reflectlabs.io/speed_networking)● Dart Board Object Detection: Developed computer vision software used to detect darts and output a score in real time using multiple camera feeds, exceeding the client’s target accuracy of 94% (reflectlabs.io/darts)● Office Building Facial Recognition: Handled the completion of the computer vision software and product redesign for a surveillance security startup (reflectlabs.io/facial_recognition)● Healthcare Development: Built a HIPAA-compliant mobile application connecting to the client’s proprietary health monitor for patient vitals data, providing real time updates to patients though BLE or USB connectivity (reflectlabs.io/healthapp)Full Portfolio: https://www.reflectlabs.io/

● Managed team of 10 data scientists and engineers on all projects for our core machine learning product and mobile app, used by the largest beverage and CPG brands in the world to acquire product data through shelf imagery (form.com/ir)● Built and executed the vision, strategy, and roadmap for an 8-month long integration plan with a newly acquired AI company, allowing us to offer a new shelf-detection product that recognizes 50% more of the retail landscape (get.form.com/shelfwise)● Led buildout of 2 new OCR solutions from MVP through full product launch (wine menu detection and price tag recognition), leading to a 20% increase in new business (form.com/ir/product-tours)● Directed rebuild of our mobile image-capture UI/UX and photo-stitching algorithm, leading to a 20-point NPS increase post A/B testing● Conceived of and managed the creation of a reverse image search product, allowing us to programmatically collect training data from the field, accelerating manual data annotation time by ~50x● Orchestrated 3 large visualization updates to our PhotoWorks web application, allowing our customers to analyze 70% more of their in-store results (form.com/ir/photoworks - see “Shelf”, “Wine Menu”, “Back Bar”)● Frequently presented plans to company leadership and communicated with customers regularly to align on product direction

● Helped grow and lead company from early-stage development to annual revenue of over $1MM● Successfully delivered over 15 software products to clients, building product roadmaps and managing 6-8 projects at a time● Facilitated delivery of a large ecommerce project, providing arbitrage tools that secured margins 5-10% higher than competitor offerings● Wrote and translated user stories into product requirement documents used by software development teams to build new features● Collaborated with over 10 cross-functional teams including sales, marketing, support, and customer success to align on product direction

● Created software architecture design and documentation materials for one of the largest banks in New York, allowing them to progress on the implementation and development of their new master data management platform (MDM)● Designed database structure for all customer data to be used as a primary reference for backend development (~30 tables)● Presented a plan and spearheaded adoption of a multi-team Agile transformation, walking teams through the best ways to implement Agile techniques while meeting their existing deliverables

● Used Python to implement data mining techniques on alternative datasets, allowing us to determine their potential for trading strategies● Developed an algorithm to aggregate 2,000+ csv files of daily stock price data and output weekly trading positions for backtesting● Created a Python program to automatically resample time-series data for portfolio managers to identify companies of interest, speeding up the previous manual spreadsheet methods by 10x

● Developed a C# WinForms application using the Bloomberg API, allowing clients to fetch real-time data of their individual portfolios● Built a Python interest rate swap valuation tool that calculates swap value, DV01, and displays discount factors with linear interpolation

● Evaluated and organized over 500 mutual funds into comprehensible lists for comparison by accounts, returns, and category● Constructed investment portfolio proposals using Morningstar data to help achieve individual client investment goals● Conducted research for client acquisition; narrowed promising candidates from a list of over 300 to 40● Carried out website design for financial advisor and investment team sites to reflect their new marketing strategies