Jul 2021 – Feb 2024 · 2 yrs 7 mos · Dearborn, Michigan, United States · Remote

• Project : MWATS
• Migrated existing Spark prediction queue to GCP Pub/Sub for asynchronous messaging between services, leading to almost zero timeouts in requests submitted which resulted in enhanced user experience and system performance.
• Developed a sophisticated analytical application to provide root-cause analysis models (descriptive analysis, statistical analysis, and ML modeling) of on-road quality issues (e.g., warranty claims, DTCs) with requests queued and processed from GCP Data Proc.
• Wrote scheduled jobs in Spring Boot to update the status of newly submitted jobs to provide a better UI experience to the user as Hadoop can take up to 40minutes to process a job.
• Implemented singleton Angular state service which employed RxJS Observables and Behavior Subjects to make the application state reactive, allowing for real-time updates across the components.
• Engineered the adoption of browser-side caching within Angular, driving a significant 30% reduction in navigation time across the components, along with successful resolution of infrequent page crashes.
• Enabled efficient data analysis and decision-making processes by leveraging Google’s BigQuery for executing complex SQL queries on large datasets.
• Project: RAV
• Led the development of Re-Acquired Vehicles (RAV), a comprehensive Angular-based application, providing visibility into buyback vehicles' risks and delivering an annual cost saving of an estimated $280M for Ford Motors.
• Executed and sustained automated testing suites by leveraging industry-standard tools such as JUnit, Mockito, SonarQube, Swagger and 42Crunch, reinforcing the reliability and robustness of the codebase.
• Leveraged advanced data visualization libraries, Plotly.js and Apache ECharts, to create insightful histograms, time-series, scatter plots, and stacked bar charts. This approach enabled the proactive detection of vehicle issues within just one month of manufacturing, drastically improving from the previous six-month window.

Aug 2017 – May 2020 · 2 yrs 9 mos · Washington, United States · On-site

• Designed and developed customized PAC (political action committee) web applications for high-profile clients including Amazon, Microsog, and Home Depot, facilitating the attainment of their campaign objectives.
• Recognizing the need for improved performance and user experience, successfully led the adoption of React.js, resulting in a 30% reduction in page load Nme and a significant increase in user engagement. Collaborated closely with design and product teams to ensure seamless integration of React components into existing PHP codebase.