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Android Engineer with 7+ years in Kotlin, Jetpack Compose & MVVM
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Anmol Kashyap is a Senior Android Engineer with 7.4 years of experience, specializing in Kotlin, Jetpack Compose, and MVVM. He has a strong background in developing high-performance fitness applications, safety-critical rehabilitation systems, and scalable platforms. His expertise includes real-time data visualization, architecting robust learning platforms, and standardizing modular Android architectures for efficient development and deployment.
Graphic Era University
Master in Computer Applications (MCA)
August 1, 2019 – June 30, 2021
JOHNSON HEALTH TECH
SENIOR SOFTWARE ENGINEER
March 1, 2024 – Present
Bengaluru, Karnataka, India
MINDSTIX SOFTWARE LABS
MEMBER OF TECHNICAL STAFF
October 1, 2021 – March 1, 2024
Pune, Maharashtra, India
MOBCODER
SOFTWARE TRAINEE
June 1, 2021 – October 1, 2021
Noida, Uttar Pradesh, India
JOHNSON HEALTH TECH
SENIOR SOFTWARE ENGINEER
July 1, 2019 – July 1, 2021
Dehradun, Uttarakhand, India
ECOMMERCE LAZA APP
June 17, 2026 – Present
Developed an eCommerce mobile app that includes key features such as product browsing, search functionality, user authentication, secure payment integration, and order tracking. Utilised Android Jetpack, Firebase, and RESTful APIs to build a seamless and responsive UI across various screen sizes, leveraging Jetpack Compose and ConstraintLayout for efficient layout management.
View ProjectRANDOM IMAGE GENERATOR
June 17, 2026 – Present
The Random Dog Image Generator is an Android application built using Jetpack Compose, Retrofit, Room Database, and Hilt. The app allows users to generate random images of dogs using an API and stores recently generated images locally for offline access.
View ProjectMySQL training
Scholars ITech Solutions
June 1, 2026 – Present
Core Java Training
Scholars ITech Solutions
June 1, 2026 – Present
Data Science using Python
EICT IIT ROORKEE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans different types of applications (fitness, rehabilitation, e-commerce, learning, event management), demonstrating adaptability and a broad interest in various domains. The consistent use of modern Android technologies across roles and personal projects indicates a proactive learning attitude and alignment with contemporary development practices. The candidate has worked in both product-focused and service-based companies, suggesting adaptability to different organizational cultures.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on reliability, performance optimization, and scalable architecture, suggesting a methodical and quality-oriented approach to development. Leadership in establishing coding best practices and modular architecture points to good operational fit and potential for mentorship.