Vivek Jadhav

Software Engineer with hands-on experience building customer-facing mobile applications in Flutter, Firebase, Android, and iOS environments. Delivered measurable improvements in activation and Firebase cost efficiency, and built backend-integrated features using clean architecture, REST APIs, and serverless workflows.

Flutter Developer Intern - HealthTick

(2025-08 - 2026-06)

• Improved onboarding and activation flows, raising user conversion from 12
• Developed upgrade, upsell, and pre-trial flows to improve engagement and paid adoption.
• Reduced Firebase monthly costs from 1 lakh to 25k through query optimization and more efficient data fetching patterns.
• Implemented Firebase Auth, Firestore, and Cloud Functions for real-time serverless backend workflows.
• Implemented native Android and iOS Home Widgets using Kotlin and Swift, integrating Flutter applications with platform-specific widget frameworks.
• Collaborated with stakeholders, teams, and end users to translate requirements into technical solutions.
• Built internal dashboards using React and Next.js to streamline operations.

Machine Learning Intern - CodeSpeedy

(2025-01 - 2025-04)

• Developed CNN-based plant disease detection models achieving approximately 92% prediction accuracy using TensorFlow and Python.
• Evaluated CNN, SVM, Random Forest, KNN, and Decision Tree models using precision, recall, and F1-score metrics.
• Built end-to-end AI workflows integrating Flask REST APIs with Flutter applications and Supabase backend systems.
• Integrated scalable backend systems for structured data handling, real-time predictions, and reliable application performance.
• Contributed to experimentation, model optimisation, and data-driven evaluation for ML-powered applications.

B.E. - Computer Engineering - Government Engineering College (GEC), Bhavnagar (2021 - 2025)

HSC - Science - P. P. Savani School (2020 - 2021)