I’m Siddhi Chudasama, a software engineer with 2+ years of experience building production Android and backend solutions. I specialize in MVVM architecture, clean design practices, and real-time REST API pipelines using Java/Kotlin and Python, with a strong focus on secure integrations through Firebase. I’ve also worked on AI-powered fraud detection and user behavior analysis, where I designed an anomaly-detection approach with scikit-learn, exposed it via REST APIs, and iteratively improved results to reduce false positives. Beyond development, I’ve contributed as a UX/UI designer, delivering end-to-end designs in Figma and collaborating closely with engineers to ensure pixel-accurate implementation.

Siddhi Chudasama

I’m Siddhi Chudasama, a software engineer with 2+ years of experience building production Android and backend solutions. I specialize in MVVM architecture, clean design practices, and real-time REST API pipelines using Java/Kotlin and Python, with a strong focus on secure integrations through Firebase. I’ve also worked on AI-powered fraud detection and user behavior analysis, where I designed an anomaly-detection approach with scikit-learn, exposed it via REST APIs, and iteratively improved results to reduce false positives. Beyond development, I’ve contributed as a UX/UI designer, delivering end-to-end designs in Figma and collaborating closely with engineers to ensure pixel-accurate implementation.

Available to hire

I’m Siddhi Chudasama, a software engineer with 2+ years of experience building production Android and backend solutions. I specialize in MVVM architecture, clean design practices, and real-time REST API pipelines using Java/Kotlin and Python, with a strong focus on secure integrations through Firebase.

I’ve also worked on AI-powered fraud detection and user behavior analysis, where I designed an anomaly-detection approach with scikit-learn, exposed it via REST APIs, and iteratively improved results to reduce false positives. Beyond development, I’ve contributed as a UX/UI designer, delivering end-to-end designs in Figma and collaborating closely with engineers to ensure pixel-accurate implementation.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Beginner
Beginner
Beginner
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Language

Javanese
Advanced
Amharic
Intermediate

Work Experience

Software Engineer & Android Developer
December 1, 2023 - December 1, 2025
Architected and shipped production Android applications using Java/Kotlin and Firebase with real-time data synchronization and secure REST API pipelines. Migrated a legacy codebase to a Clean MVVM architecture to improve testability and reduce onboarding time. Worked across Agile sprints from requirements to release, consistently meeting deadlines with cross-functional teams. Led code reviews, maintained technical documentation, and enforced best practices to raise overall code quality. Collaborated closely with other stakeholders to deliver secure authentication, efficient UI flows, and reliable data handling.
UI/UX Designer
February 1, 2021 - February 1, 2024
Delivered end-to-end UX design for 5+ mobile and web applications, supporting work from user research to production handoff in Figma. Conducted usability testing and accessibility audits to reduce friction and improve retention-related outcomes. Partnered with Android engineers to ensure pixel-accurate implementation of design specifications across screen sizes. Supported cohesive UI systems using Material Design 3 and strong interaction-focused design practices.

Education

Master of Computer Application (MCA) at R.B. Institute, Gujarat Technological University (GTU)
January 1, 2024 - September 4, 2026
Bachelor of Computer Application (BCA) at K.K. Shastri Government Science College, Gujarat University (GU)
January 1, 2021 - January 1, 2024
Master of Computer Application (MCA) at R.B. Institute, Gujarat Technological University (GTU)
January 1, 2024 - January 1, 2026
Bachelor of Computer Application (BCA) at K.K. Shastri Government Science College, Gujarat University (GU)
January 1, 2021 - January 1, 2024

Qualifications

Google — Security Engineer & IT Support Professional
January 11, 2030 - September 4, 2026
Microsoft — Generate reports with AI research agents
January 11, 2030 - September 4, 2026
AI — Gemini Certificate (Student & Educator)
January 11, 2030 - September 4, 2026
AWS — S3 Basic Cloud Infrastructure
January 11, 2030 - September 4, 2026
Google Cloud — Introduction to Generative AI
January 11, 2030 - September 4, 2026
Deloitte — Cyber Job Simulation
January 11, 2030 - September 4, 2026
Deloitte — Technology Job Simulation
January 11, 2030 - September 4, 2026
Business Analysis & Process Management
January 11, 2030 - September 4, 2026
Google Ads Apps Certification
January 11, 2030 - September 4, 2026
AI-Powered Performance Ads Certification
January 11, 2030 - September 4, 2026
Google — Security Engineer & IT Support Professional
January 11, 2030 - September 4, 2026
Microsoft — Generate reports with AI research agents
January 11, 2030 - September 4, 2026
AI — Gemini Certificate (Student & Educator)
January 11, 2030 - September 4, 2026
AWS — S3 Basic Cloud Infrastructure
January 11, 2030 - September 4, 2026
Google Cloud — Introduction to Generative AI
January 11, 2030 - September 4, 2026
Deloitte — Cyber Job Simulation
January 11, 2030 - September 4, 2026
Deloitte — Technology Job Simulation
January 11, 2030 - September 4, 2026
Business Analysis & Process Management
January 11, 2030 - September 4, 2026
Google Ads Apps Certification
January 11, 2030 - September 4, 2026
AI-Powered Performance Ads Certification
January 11, 2030 - September 4, 2026

Industry Experience

Software & Internet, Computers & Electronics, Financial Services, Education
    Fraud Online Transaction Detection System (AI-Powered Android Client)

    I developed an AI-powered Fraud Online Transaction Detection System that combines a robust Android client with a machine learning backend. Key Features & Technical Implementation: Backend & ML Engine: Built an anomaly detection model using Python and scikit-learn to analyze historical transaction datasets and identify risky behaviors. API Integration: Exposed the ML model via secure REST APIs to communicate seamlessly with the Android mobile application.Android Frontend: Designed and developed the user interface using Java, XML, and Material Design 3 guidelines for a smooth user experience.Security & Real-time Alerts: Integrated secure Firebase Authentication for user accounts, Firestore for data syncing, and implemented real-time push alerts for high-risk flags.Impact: Successfully reduced false-positive fraud flags through iterative model tuning and user behavioral analysis.Tech Stack Used: Java, Android SDK, Python, scikit-learn, Firebase Auth, Firestore, REST APIs, XML, Material Design 3.