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Hi, I'm Surbhi Lahoria. I’m an early-career iOS and software developer who loves turning ideas into clean, reliable software. I enjoy building intuitive user interfaces, integrating robust back-end services, and collaborating with product teams to ship features that users love. I’m currently studying for a BEng in Computer Science at the University of York and gaining hands-on industry experience as an App Developer at Braime Components, where I’ve been building production-ready UI screens, implementing camera features, and connecting the app to REST APIs. I thrive in fast-paced environments and enjoy learning new tools and patterns to improve performance and security.…Hi, I'm Surbhi Lahoria. I’m an early-career iOS and software developer who loves turning ideas into clean, reliable software. I enjoy building intuitive user interfaces, integrating robust back-end services, and collaborating with product teams to ship features that users love. I’m currently studying for a BEng in Computer Science at the University of York and gaining hands-on industry experience as an App Developer at Braime Components, where I’ve been building production-ready UI screens, implementing camera features, and connecting the app to REST APIs. I thrive in fast-paced environments and enjoy learning new tools and patterns to improve performance and security.

Surbhi Lahoria

Data Scientist, Full Stack Developer, Game Developer, +6

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Hi, I'm Surbhi Lahoria. I’m an early-career iOS and software developer who loves turning ideas into clean, reliable software. I enjoy building intuitive user interfaces, integrating robust back-end services, and collaborating with product teams to ship features that users love. I’m currently studying for a BEng in Computer Science at the University of York and gaining hands-on industry experience as an App Developer at Braime Components, where I’ve been building production-ready UI screens, implementing camera features, and connecting the app to REST APIs. I thrive in fast-paced environments and enjoy learning new tools and patterns to improve performance and security.…Hi, I'm Surbhi Lahoria. I’m an early-career iOS and software developer who loves turning ideas into clean, reliable software. I enjoy building intuitive user interfaces, integrating robust back-end services, and collaborating with product teams to ship features that users love. I’m currently studying for a BEng in Computer Science at the University of York and gaining hands-on industry experience as an App Developer at Braime Components, where I’ve been building production-ready UI screens, implementing camera features, and connecting the app to REST APIs. I thrive in fast-paced environments and enjoy learning new tools and patterns to improve performance and security.

Available to hire

Hi, I’m Surbhi Lahoria. I’m an early-career iOS and software developer who loves turning ideas into clean, reliable software. I enjoy building intuitive user interfaces, integrating robust back-end services, and collaborating with product teams to ship features that users love.

I’m currently studying for a BEng in Computer Science at the University of York and gaining hands-on industry experience as an App Developer at Braime Components, where I’ve been building production-ready UI screens, implementing camera features, and connecting the app to REST APIs. I thrive in fast-paced environments and enjoy learning new tools and patterns to improve performance and security.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

IOS App Developer

June 1, 2025 - Present

Designed and developed an iOS app using Swift and SwiftUI to support field operation teams in data collection and documentation. Built interfaces enabling field personnel to record machine measurements, view diagrams, and capture photographs. Implemented secure local authentication and data storage, and established test coverage and CI pipelines to ensure reliability. Collaborated with field teams to translate operational requirements into technical solutions that improved workflow and data accuracy. Achieved an 85% speaker-identity reduction with <15% ASR error rate using PyTorch, Wave2Vec 2.0, and ECAPA-TDNN embeddings; applied ML and signal processing. Built a deep neural network classifier from scratch using Python and PyTorch for a computer vision task. Led agile development with requirements analysis, code integration, and cross-team collaboration; performed code reviews, refactoring, and testing to maintain code quality. Constructed a normalized data schema using Python, SQL, an

App Developer at BBraime Components

June 1, 2025 - Present

Designed and developed a mobile app using Swift and SwiftUI to support field operations teams in data collection and documentation. Built interfaces for recording machine measurements, interactive diagrams, and photo capture. Implemented secure local authentication and data storage to manage credentials; established CI pipelines and test coverage to ensure reliability. Collaborated with field teams to translate requirements into technical solutions, improving workflow efficiency and data accuracy. Delivered a real-time encoder achieving 85% speaker-identity reduction with <15% ASR error using PyTorch and Wave2Vec 2.0; applied ML and signal processing with ECAPA-TDNN embeddings and CTC decoding for evaluation.

App Developer at BBraime Components

June 1, 2025 - Present

Designed and developed a mobile application using Swift and SwiftUI to support field operations teams in data collection and documentation. Built user interfaces enabling field personnel to record machine measurements, access interactive diagrams, and capture photographic documentation. Implemented secure local authentication and data storage functionality to manage user credentials on the device. Established comprehensive test coverage and continuous integration pipelines to ensure application reliability and streamlined deployment processes. Collaborated with field teams to translate operational requirements into technical solutions that improve workflow efficiency and data accuracy. Developed a real-time autoencoder achieving 85% speaker-identity reduction with <15% ASR error rate using PyTorch, Wave2Vec 2.0, U-Net embeddings, etc.

iOS App Developer at Braime Components

June 1, 2025 - Present

In progress: Built 8+ production-ready UI screens using SwiftUI and MVVM architecture. Implemented camera access, photo annotation, and file export workflows. Added offline storage for capturing measurements in low-connectivity environments. Developed a secure login flow using credential storage best practices. Integrated REST APIs for synchronized field data with the company database. Improved loading performance by 30% using efficient state management in SwiftUI. Collaborated with engineering teams to deploy test builds and handle feedback. A simple iOS app for scanning QR codes and fetching product details from a public API.