- Raised $6.3 million from 8VC, Bling Capital, Max Ventures, and angel investors- Defining go-to-market strategies targeting medium to large healthcare practices.- Leading engineering teams in developing generative AI call agents that automate patient communication, ensuring HIPAA compliance and seamless EHR integration.- Designing a managed services platform, enabling healthcare practices to efficiently outsource administrative workflows and improve operational efficiency.- Establishing quality control frameworks to monitor AI performance, enhancing patient interactions and adherence to healthcare standards.- Collaborating with healthcare stakeholders to create customized AI solutions, facilitating pilot programs and promoting early adoption.

- Architect a web application with a Python FastAPI back-end and a TypeScript NextJS front-end to assist companies with managing their software spending- Manage 2 software developers, providing technical guidance and tracking progress, using a custom management system designed based on agile practices- Design and implement data pipelines that regularly sync SSO and financial data into a 3NF schema in a PosgreSQL database hosted in AWS RDS- Develop the full-stack application and deployed it using Terraform on AWS Fargate and Vercel- Secure, monitor, and manage the application by developing encryption, rate limiting, active monitoring services, user analytics, and operator interfaces- Automate testing, data pipelines, and deployment using Python, Airflow, Terraform, and Github Actions- Strategize about product development to improve user experience (UX) and monetization- Assess and refine product-market fit by developing detailed financial models and updating them with information learned from user analytics and user feedback

- Analyze complex problems and create workflows involving humans and automation- Design and implement software to automate workflows and improve efficiency- Contribute to overall product strategy and technical platform

- Collaborate with product, design, data science, and other engineers to release features that improve the productivity of clinicians and support staff- Architect, execute, and direct others through large projects to improve the Scala monolith, Kotlin microservices, and React Native mobile and web applications- Introduce technical approaches and patterns, anticipating and responding to the organization's needs- Optimize performance of existing product features by implementing caching, query optimization, reducing component renders, and re-architecting with GraphQL and NextJS to minimize client data transfer- Establish new applications and application monitoring infrastructure- Refine organizational engineering practices by contributing to discussions and documentation- Assist in training and hiring of new engineers

- Created the business that ultimately grew to 15 employees, raised $1.75M, and was acquired by Carbon Health Technologies, with only one co-founder- Managed up to 10 software developers, providing technical guidance and tracking progress, using a custom management system designed based on agile practices- Architected a web application with a Python Flask back-end API and a TypeScript Angular front-end to assist individuals in claiming lost money- Designed and implemented data pipelines that clean and aggregate state unclaimed property data into a 3NF schema in a PosgreSQL database hosted in AWS RDS- Developed the full-stack prototype of the application and deployed it using Docker Swarm on AWS EC2 instances- Secured, monitored, and managed the application by developing encryption, rate limiting, active monitoring services, user analytics, and operator interfaces- Optimized consumer funnel by analyzing conversions in an A/B testing framework- Automated testing, data pipelines, and deployment using Python and Bash scripts, AWS CLI, and Gitlab CI/CD- Strategized about product development to improve user experience (UX) and monetization while appeasing regulatory concerns- Assessed and refined product-market fit by developing detailed financial models and updating them with information learned from user analytics, user feedback, and regulatory response

· Conduct full research projects, including project development, data collection, and analysis· Analyze billions of data points of panel- and time-series data using econometric models and techniques such as OLS, Logit, Probit, Fama-MacBeth, ARIMA, vector autoregression, Granger causality, hazard, quantile, PCA, LDA, EFA, CFA, SEM, difference-in-differences, and propensity score matching· Predict and classify outcomes using machine learning models such as deep learning (multilayer perceptron), SVM, K-nearest neighbors, K-means, decision trees, ridge, LASSO, naive Bayes, and ensemble methods· Collect data using web-scraping, APIs, and databases· Clean, aggregate, and merge data from multiple sources with outliers and errors at different frequencies and levels of aggregation

-Perform multivariate linear and non-linear analyses on collected data to answer research questions-Assist professors in teaching responsibilities, such as teaching class sections and grading student assignments and examinations-Present research findings in an effective manner

-Analyze financial information obtained from clients to determine strategies for meeting their financial objectives-Gather data on market conditions to inform clients of threats and opportunities-Recommend to clients financial strategies in cash management, investment planning, or other areas to help them achieve their financial goals

Completed special projects for portfolio group and senior managementSelected Project Experience:Modification of Allowance for Loan and Lease Losses (ALLL):-Consolidated disparate data using Stata IC 12 to allow analysis. Determined and created useful metrics and graphs for back-testing the ALLL model-Developed probability of default (PD) and loss given default (LGD) statistics for over 10,000 commercial and consumer loans by internal risk grade, delinquency status, and FFIEC code using migration analysis-Applied calculated PD and LGD values to ALLL FAS-5 reserves, reducing the reserves by approximately $5.4 million or 55%Stress Testing:Designed and implemented stress testing methodologies to ensure the safety and liquidity of the loan portfolio going forward

-Solve unique customer issues-Ensure accuracy of daily transactions, such as deposits, withdrawals, and cash advances-Develop monthly schedule for tellers

-Analyzed the Shared National Credit program to reduce inefficiencies and to improve usability of data, and restructured data in Microsoft Access 2010 for improved usability-Extracted quantitative data for 460 obligors from written passages and interpreted that data in -Microsoft Excel 2010 to create charts and statistics-Developed a 7-point regulatory scale which standardized banks’ internal rating scales