Architected PayPal’s internal Authentication SDK in Swift, enabling secure, reusable login flows with support for OAuth 2.1, PKCE, refresh token rotation, and Keychain-based token persistence across multiple first-party apps.

Implemented biometric authentication (Face ID / Touch ID) using LocalAuthentication, abstracted behind a protocol-oriented interface for modularity and unit testability in both sandbox and production environments.

Engineered SDK components for secure SSO session management, device trust evaluation, and conditional MFA, coordinating with backend identity services to enforce dynamic risk policies at runtime.

Enabled scalable SDK adoption by delivering Swift Package Manager integration, CI validation pipelines, structured telemetry hooks, and internal documentation to support rapid integration across engineering teams.

Developed, tested, and maintained high-impact features for Walmart’s iOS app using Swift, delivering a responsive and seamless experience to millions of users.

Leveraged Combine to handle asynchronous data streams, optimizing complex data flows, improving readability, and increasing app performance.

Integrated GraphQL for efficient data querying, reducing network load by minimizing over-fetching and enhancing app responsiveness.

Collaborated with the QA team to implement automation testing using Appium, improving test coverage and reducing regression testing time.

Implemented performance optimizations that resulted in a measurable improvement in app load times and overall responsiveness, enhancing the user experience.

Contributed to GenAI-driven features using Swift, enabling intelligent and personalized user experiences within the Walmart iOS app.

Designed and implemented iOS/macOS tools using MetalAPI to evaluate and benchmark graphics performance across Apple platforms.

Built and tested real-time rendering and visualization modules using MetalAPI and CoreAnimation for iOS/macOS applications.

Integrated machine learning models with MetalAPI to accelerate graphics processing, enhancing overall application efficiency.

Developed cross-platform graphics APIs in Swift and Objective-C, enabling modular and reusable rendering components.

Leveraged MLCompute and performance shaders to render high-throughput data with minimal latency.

Ensured seamless compatibility between Swift and Objective-C layers in the graphics pipeline for flexible integration across legacy and modern codebases.

• Working on a research iOS application to understand commuting patterns.

• Implemented user location modules using Google Maps SDK

• Used Uber API that can request information on available car types, driver location expressed in geo-coordinates, time estimates and estimated prices.

• Used ResearchKit for working on surveys using a variety of customizable modules.

• Building a framework for back-end communication between Unity and the Cognitive Tutor Authoring Tools (CTAT) in C#

• Building a framework for the VR Simulation Project to simulate a 3D printing using SteamVR