Software Engineer · Audria · 2.6 yrs

I approach my work as a software engineer with a strong sense of autonomy and determination, always striving for mastery in my craft. My methodology is deeply rooted in logic and meticulousness, ensuring that every solution I build is robust, precise, and thoughtfully engineered.

  • Bangalore
  • Open to Bangalore · Pune · Gurgaon
  • On-site, Hybrid, Remote

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Skills

Claimed

User-Centered DesignDesign Systems DevelopmentCustom Component DevelopmentDeveloper Experience ManagementApplication Performance OptimizationB2B Platform DevelopmentGitHub ActionsCI/CD Pipeline ImplementationOpen Source ContributionData TransformationData TransmissionObjective-C Programming

Proof of Experience

Audria

Software Engineer

Audria · Nov 2025 – Present

  • Shipped v1.0 to the App Store from scratch an always-listening, proactive personal AI assistant for iOS and macOS built with SwiftUI, AVFoundation, CoreML, and real-time speech pipelines.
  • Architected the app's UI and data layer using MVVM, an offline-first repository pattern (SwiftData, cache-then-network synchronization, background replay), and a reusable design system, enabling scalable development across 20+ feature modules.
  • Optimized SwiftUI performance using Instruments, reducing unnecessary view invalidations, improving responsiveness, and lowering memory and CPU overhead.
  • Replaced a SceneKit visualization with a custom Metal renderer featuring demand-driven rendering for improved performance and reduced idle resource usage.
  • Shipped an on-device speaker diarization pipeline in Swift (pyannote-3.0 segmentation TitaNet speaker embeddings NME-SC clustering) running fully offline with no audio leaving the device for speaker identification and diarization.
  • Built a real-time AVAudioEngine capture pipeline with streaming VAD, wake-word detection, acoustic echo cancellation and vDSP-accelerated PCM conversion; eliminated an audio-loss class of bugs on stop by awaiting in-flight uploads under a cancellation shield and switching to capture-time timestamps.
  • Architected an iOS BLE SDK for a custom wearable using L2CAP CoC for LC3 audio streaming, secure device authentication (RSA-2048-PSS + AES-128-CMAC), and a macOS peripheral simulator for parallel firmware development.
NimbleEdge

Software Engineer

NimbleEdge · Aug 2024 – Oct 2025

  • Developed the NimbleEdge AI iOS app in SwiftUI and UIKit, letting users run and interact with on-device AI models (shipped to the App Store, open-source on GitHub).
  • Contributed to the open-source iOS SDK distributed via CocoaPods; created and automated the full release process using GitHub Workflows.
  • Implemented chunked downloading of large assets, including LLMs and traditional ML models.
  • Integrated Protocol Buffers on iOS across both Swift and Objective-C, and leveraged Swift-Objective-C interoperability to interface with C/C++ for on-device model execution.
  • Built multiple iOS demo apps for on-device inference: TTS, ASR, and quantized LLMs/SLMs (e.g., LLaMA).
Zeta

iOS SDE Intern HDFC PayZapp

Zeta · Jan 2024 – Jul 2024

  • Created custom reusable and composable UI components as part of the Unicorn Design System.
  • Built home screen and lock screen widgets end to end, translating designs into shipped features and keeping stakeholders up to date.

Proof-of-Work

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Proof of Education

Bachelor of Technology, Information Technology

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, ALLAHABAD · 2020 — 2024

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