- System Design and Development: Architecting and developing the Insights microservice using FastAPl, providing personalized homeowner insights and integrating it into the Connected Home Ecosystem iOS application- Cloud Infrastructure and Automation: Managing and deploying a Docker containerized solution within a secure AWS architecture using ECS Fargate and PostgreSQL RDS. Automating infrastructure deployments with Terraform, reducing manual intervention and accelerating deployment cycles- Machine Learning Integration: Integrating machine learning models into the application stack, leveraging claim perils, weather data, property data clustering, and collaborative filtering techniques for enhanced data-driven insights and personalization- Development Workflow Optimization: Implementing Docker Compose for local development, reducing startup time and saving approximately 120 hours of code execution time annually. Integrating an interim CMS solution to streamline content updates and reduce engineer dependency. Championing TDD and CI/CD practices, achieving 95% code coverage and improving deployment efficiencyInnovation and Intellectual Property – Innovation and Intellectual Property: Developing and pitching a semantic Al search engine during a hack day, successfully integrating it into the Connected Home Ecosystem. Submitted 9 patents to the US Patent and Trademark Office to protect State Farm's intellectual property around the Insights service

- Built a UI component that reports home health scores as an aggregated measure of residential data points given an address

- Implemented a one-stop shop, dynamic dashboard in a department-wide innovation portal to provide managers with insight into past and forecasted unblended costs at an account level- Built AWS costing APIs in Python, utilizing Amazon API Gateway to add HTTP endpoints for Lambda functions- Integrated a standalone UI component in React.js visualizing the costing information fetched from API response

- Developed using React/Vite/Express/Railway/MongoDB stack- Empowering businesses with AI-driven call agents that streamline customer support, appointment scheduling, and administrative tasks- Building infrastructure around supporting inbound and outbound calls, automating follow-ups, and integrating seamlessly with several CRM systems

- DJ for all events- Wide client base like school dances, private events, weddings - Financial donor supporting charitable causes- Website: http://808hertz.com

- Built an intelligent restaurant receipt line-item tagging tool with smart recommendations- React.js, Python, Django full-stack

- Website: https://lets-parti.web.app/- GitHub: https://github.com/Lets-Parti- Managed overall operations and resources to strategically grow the business - Developed the web application product using React.js and Firebase full-stack - Implemented go-to-market strategies to drive product-market fit and user acquisition - Provided lead generation to businesses- Award-winning pitch at ASU Open Pitch 2021 Parti is a web platform that simplifies event planning for hosts while enabling professionals to expand their business. We provide a single platform for hosts to organize events, manage vendors, and pay for services. Our platform provides vendors with visibility to upcoming events, allowing them to promote their services through their own digital storefronts.

- Created and facilited technical workshops that allow students to enhance their skill levels with critical data science tools such as Python- Organized events with guest speakers that work in the data science field at ASU or in an external role to share their experienced insight with club members

- Wrote SOPs for extracting, loading, and transforming data among various cloud storage providers utilizing Power BI- Created sample dashboards in Power BI to visualize sales numbers across different regions, product clusters, and other factors- Performed data warehousing and scripting SQL queries in Snowflake to report trends in sales data- Interacted with C-suite executives and other high-level executives to gain insight into the company across all departments

- This research was facilitated by an ASU professor/mentor, Dr. Maria Elena Chavez-Echeagaray, and is associated with the Fulton Undergraduate Research Initiative (FURI), which supports the research with grants - The objective of this experiment was to understand how users respond to patterned and randomly-timed distractions- The data used in a previous study was collected through an EEG simulator (Emotive EPOC headset), while users take assessments with exposure to distractions and indicates how cognitive abilities are affected- Linear regression models were performed to indicate the frequencies of distraction and their corresponding impact on a person's cognitive ability- This thesis-based research was presented at the Fall 2020 Fulton Undergraduate Research Initiative (FURI) Symposium

- Full-time, paid internship as a software developer modified into technical engagement program due to COVID-19 implications on the company- Learned about Tech Data’s business and career opportunities by engaging with the company’s executive leaders to understand how to navigate today’s workforce - Enhanced networking skills and grew professionally through resume and LinkedIn webinars/reviews

- Data capturing and manipulating for fleet management- Created vendor profiles using web scraping techniques of over 300 fleet repair companies in Greater Boston and built a web data collection tool for the SammyOps app - Created PCA, LDA, and K-means models in web scraping projects for SammyOps to optimize relevancy of fleet repair search for SammyOps users based on critical criteria points- Reported directly to the CEO/Founder- MassChallenge 2020 Finalist Organization