• Designed frameworks that use ML models to proactively identify issues early in the data lifecycle, improving data quality by 30%. Increased processing efficiency with centralized quality signals, caching ML inference results, and eliminating costly re-runs.

• Led system architecture for data lifecycle management, designing frameworks for data delivery, discovery, attribute computation, versioning, and creating policies for efficient data retention and deletion. This initiative enabled data reuse whilst reducing server costs by 25%.

• Developed native Python solutions to interface with third-party LiDAR devices and Quest headsets. Collaborated with external engineering teams to integrate our internal services with their hardware. Implemented pre-flight checks, error detection, data validation, metadata population, and usage analytics which enhanced team accountability and reduced errors.

• Revamped infrastructure to accelerate the development of ML models for Quest headsets by automating data pipelines for annotations and quality checks, and optimizing model benchmarking for faster iteration.

• Proficient in Android MVVM architecture and Android Jetpack Architecture components including ViewModels, LiveData, View and Data Binding, Paging, Navigation, and Room

• Implemented features and user flows as independent components which are consumed by multiple host Android apps

• Wrote and maintained custom Android classes to manage Toolbars, Permissions, and log analytic events

• Acted as scrum master and collaborated with Product Managers to scope user stories, assign priorities, groom backlogs etc.

• Followed up on rolled out features by monitoring service analytics, user metrics, and customer feedback

• Familiar with RxJava2, Retrofit, Dagger, and Apollo

• Contributed to backend services and implemented APIs for mobile clients on Java Spring Boot

• Developed pipeline to pre-process aircraft and drone imagery and then generated dense depth maps using OpenSFM on the Google Cloud Platform

• Extracted ground points and tree cover information to evaluate forest quality from RGB aerial imagery

• Worked in the capacity of a full time engineer in an Agile team to deliver version 6.0 for the GoPayment Android app

• Wrote Kotlin code to manage activity and fragment lifecycles, handled network payloads to sync user data, and developed Android views to support view/add/edit of inventory items

• Collaborated with XD on UI implementations, and designed and wrote unit tests using Mockito and Espresso

• Won first place at Codechella, a week long team-based hackathon for Intuit co-ops. We built a service monitor with a dashboard that is personalized for every development team. The dashboard reflects the real-time status of all services that a team relies on and sends out notifications if a service goes down.

• Tutored students in Algorithms and Computer Theory courses

• Assisted professors with grading homework and assignments