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Dhiman Das

Angestellt, iOS Application Developer, SINOVO health solutions GmbH
Bis 2022, High Integrity Systems, Frankfurt University of Applied Sciences
Frankfurt am Main, Deutschland

Fähigkeiten und Kenntnisse

SWIFT
Objective-C
SwiftUI
Unit Testing
CI/CD
Git
health kit
Core bluetooth
RESTful API
MVC
MVVM
Scrum
App store
Xcode
SOLID principles
Test Flight
UIkit
Core data
iOS Development
iOS Cocoa Touch Frameworks
Software Development
C++
C
Java
phyton
Machine Learning
Data Analysis
Data-Mining

Werdegang

Berufserfahrung von Dhiman Das

  • Bis heute 6 Jahre, seit Juli 2019

    iOS Application Developer

    SINOVO health solutions GmbH

    Designed and developed iOS apps for medical use, adhering to healthcare standards. Implemented Bluetooth Low Energy (BLE) for seamless device communication. Migrated legacy code from Objective-C to Swift, improving app performance. Integrated HealthKit for secure data management and Apple ecosystem interoperability. Collaborated with UI/UX and backend teams for user-friendly design. Managed CI/CD pipelines and ensured app stability through unit testing and code reviews.

  • 3 Jahre und 10 Monate, Juni 2015 - März 2019

    Senior IOS Application Developer

    Twinbit Limited

    Developed utility iOS apps like Colorify (500K+ downloads), Blup Photo Editor (300K+), Exqulized (500K+), Photo Book (400K+), and Buzztube (500K+). Built Blup Photo Editor with filters, image enhancement, and drawing tools using Core Graphics. Created Colorify for real-time color correction using Core Graphics. Developed Equalizer FX, leveraging AVFoundation for audio adjustments. Integrated In-App Purchases, Firebase, and optimized performance using GCD and memory management.

Ausbildung von Dhiman Das

  • 3 Jahre und 7 Monate, Apr. 2019 - Okt. 2022

    High Integrity Systems

    Frankfurt University of Applied Sciences

    • Data Science and IT Security: Gained expertise in data mining, machine learning, and multivariate techniques for uncovering patterns in complex datasets, alongside advanced techniques for protecting systems from vulnerabilities. • Research Achievement: Authored a thesis on Cluster Analysis in COVID-19 Data, applying learned clustering techniques to analyze pandemic-related datasets.

  • 4 Jahre und 2 Monate, Juni 2010 - Juli 2014

    Computer Science and Engineering

    Shahjalal University of Science & Technology

    Competitive Programming Solved over 500 challenges on platforms such as UVA Online Judge, Jang's LightOJ, Codeforces, and Project Euler. Proficient in algorithms, data structures, graph theory, recursion, advanced search techniques, dynamic programming, and string processing. ACM ICPC: Competed twice in the ACM International Collegiate Programming Contest (ICPC), achieving notable success for my campus. Competitive Profiles: UVA ID: dhiman10, Jang's LightOJ ID: dhimandas10.sec@gmail.com.

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Bengali

    Muttersprache

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