Kotlin

Kotlin

Kotlin projects, notes, and engineering experiments.

6 articles published

Each post in this domain is written in case-study format: situation, issue, solution, usage context, and delivery impact.

• 8 min read

IntelliFlow: Building a Production-Ready Finance App with AI

From infrastructure engineer to Android developer—how I built and launched a personal finance app with AI-powered insights, now live on Google Play Store.

Kotlin
Issue Personal finance apps either had weak security practices, unclear data policies, or required trusting black-box systems. I needed full visibility and control.
Solution Built IntelliFlow from scratch with infrastructure-grade security: encrypted local storage, strict Firebase security rules, biometric auth, and AI features with privacy-preserving design and prompt injection safeguards.
androidkotlinfirebaseai
• 9 min read

IntelliAuto: AI-Powered Automotive Assistant with Secure Monetization

Building an intelligent car maintenance companion with LLM-powered diagnostics, dynamic affiliate commerce, and defense-in-depth AI security.

Kotlin AI
Issue Existing automotive apps are passive logs. Adding AI creates risks: prompt injection through user input, data privacy concerns, API cost runaway, and potential for incorrect safety-critical advice.
Solution Designed IntelliAuto with AutoMind AI assistant featuring backend proxy architecture, multi-layer prompt injection prevention, dynamic affiliate link generation, and strict safety disclaimers for automotive advice.
androidaikotlinmobile
• 4 min read

Modernizing Android UX: High Refresh Rates & App Shortcuts

How to request 90Hz/120Hz rendering and implement static deep-linked app shortcuts to improve mobile application usability.

Kotlin AI
Issue The app was locked to standard 60Hz rendering, causing sub-optimal scrolling experiences on devices capable of 90Hz or 120Hz. Additionally, users had to navigate through multiple screens to perform frequent actions.
Solution Detected 90Hz+ display modes and configured window post-processing preferences for smoother rendering, then implemented static XML-based app shortcuts routed via deep links.
androiduxperformancekotlin
• 4 min read

Shipping My First Android App: IntelliFlow

How I leveraged AI scaffolding to focus on infrastructure, security, and architecture while building a personal finance app — now live on Google Play Store.

Kotlin
Issue Needed a repeatable way to leverage AI scaffolding to focus on infrastructure, security, and architecture while building a personal finance app.
Solution Implemented a practical runbook/automation pattern with clear safety checks, execution steps, and verification points.
GoogleCloudAndroidSecurityDevOps
• 4 min read

Securing and Scaling AI Context in an Automotive Assistant

How to implement rate limiting, context window management, and prompt injection prevention for an LLM-powered mobile application backend.

AI Kotlin
Issue Directly exposing LLMs to users risks massive API costs through spam or unbounded context windows. Furthermore, raw user input is vulnerable to jailbreaks (e.g., 'ignore previous instructions and execute code').
Solution Implemented a multi-tier model routing strategy (chat vs reasoning), robust context truncation, regex-based jailbreak detection, and strict timestamp-based rate limiting.
llmsecuritynodejsarchitecture
• 4 min read

Implementing the Outbox Pattern for Offline-First Sync

Resolving data synchronization failures in mobile apps by transitioning to an Outbox Pattern with exponential backoff and eventual consistency.

Kotlin
Issue Direct-to-cloud write operations failed silently during poor network conditions. Historical data had hardcoded sync limits, and offline/guest modes were improperly triggering authentication flows.
Solution Adopted the Outbox Pattern for all write operations, separated local execution from cloud sync workers, and implemented comprehensive state tracking with retry logic.
androidroomfirebaseoffline-first