About me

I craft seamless mobile experiences across Apple platforms and cross-platform ecosystems. Using native iOS, watchOS, and tvOS technologies, alongside Flutter for cross-platform development, I build high-performance, scalable applications.

With a deep dive into CoreML & TFLite-powered edge AI, real-time applications using sockets, hardware-app interactions via Bluetooth & network frameworks, and expertise in advanced camera applications, AR, custom keyboards, speech interfaces, and more - I thrive on building solutions that push boundaries.

Beyond apps, I create plug-and-play Swift & Dart packages, making development faster and smarter. Whether it's optimizing AI workflows, building high-performance UI components, or connecting apps with the physical world - I'm all about blending innovation with efficiency. Let's build the future, one line of code at a time!

What i'm doing

  • mobile app icon

    Apple Platforms

    Proficient in developing native apps for Apple platforms using Swift.

  • design icon

    Cross-platform

    Professional development of cross-platform applications using Flutter.

  • Web development icon

    Open Source

    Contributing to open source projects and creating reusable plugins.

  • camera icon

    Videography

    Hobbies include video editing using DaVinci Resolve.

Latest Releases

  • SwiftUICamera

    SwiftUICamera

    SwiftUICamera makes it effortless to add rich camera functionality to your SwiftUI applications — with support for photo capture, video recording, live frame output, and full control over camera hardware.

  • SwiftNP

    SwiftNP

    SwiftNP is a Swift package for numerical computing inspired by the popular Python library, NumPy. It provides support for multi-dimensional arrays (NDArray), along with basic operations on these arrays, such as reshaping, element-wise operations, and more.

  • AwesomeNavigation

    AwesomeNavigation

    AwesomeNavigation is a lightweight and elegant SwiftUI navigation library designed to make routing in iOS/macOS apps simple, declarative, and centralized — all while retaining native SwiftUI performance and flexibility.

  • MultipeerConnectivity

    MultipeerConnectivity

    multipeer_connectivity for flutter simplifies the process of discovering nearby devices, establishing peer-to-peer connections, and exchanging data (messages, files, and streams) without relying on Wi-Fi or cellular networks.

Technologies

Resume

Experience

  1. SDE II

    HestaBit, Noida | Jul 2022 — Present

    1. Led the development of a professional underwater camera app for iPhones with advanced image/video capture using a Bluetooth-controlled housing. Integrated manual pro controls (ISO, shutter speed, ProRAW, filters, etc.) and built custom editing tools using Metal and CoreML for on-device AI-based enhancements. The app also displayed dive-specific data such as depth graphs and hardware telemetry via BLE.

    2. Developed a multi-platform football infotainment system across iOS, watchOS, and tvOS. Referees could control match events (score, fouls, whistles) using iPhone or Apple Watch, with real-time synchronization, sounds & animations on Apple TV. Supported both online and offline modes, QR/nearby device login, custom ads, match management and a web admin dashboard for the online version.

    3. Contributed to various cross-platform (Flutter) and native applications, including AR features, custom keyboards, ebook readers, map-based services, speech-to-text and text-to-speech, and in-app purchases for both Android and iOS platforms.

  2. Student Intern

    Future Ready Talent (Microsoft), Remote | Sep 2021 — Feb 2022

    Explored and implemented cloud solutions using Microsoft Azure, including services like Azure Cosmos DB, Linux Virtual Machines, and GitHub Actions. Gained hands-on experience in deploying and managing cloud-based applications, automating workflows, and working with scalable NoSQL databases.

Education

  1. B.Tech in Computer Science & Engineering

    University of Engineering & Management (UEM), Jaipur | Jul 2019 — Jun 2023

    1. Designed & developed an autonomous driving hardware prototype utilizing Raspberry Pi, Arduino, camera modules, and various sensors. Engineered system software with Python, Dart, and C++, including integration and fine-tuning of multiple open-source AI vision models for navigation and object detection. Built companion applications in Flutter to support control, monitoring, and visualization.

    2. Specialized in Computer Science & Engineering, gaining expertise in software development, algorithms, and system design.

  2. Class 10 & Class 12 - Science (PCMB)

    DAV Public School, Rupnarayanpur | 2005 — 2019

    Studied Physics, Chemistry, Mathematics, and Biology (PCMB) with a strong foundation in analytical and problem-solving skills.

My skills

  • Swift & SwiftUI
    70%
  • Flutter & Dart
    80%
  • Edge AI
    60%
  • Git
    75%
  • C++
    50%

Contact

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