AVAILABLE FOR MOBILE & AI SYSTEMS ROLES

SOFTWARE ENGINEER & SYSTEM BUILDER

Building Mobile Systems,
Not Just Screens.

I am a Software Engineer with 3 years of professional expertise specializing in high-performance native Android, Kotlin Multiplatform, Flutter, React Native, and autonomous agentic AI tools.

EXPLORE FEATURED WORK GITHUB WORKSPACE LINKEDIN

3 YEARS

Experience

100+ REPOS

Public Repos

KMP & ANDROID

Core Focus

AGENTIC AI

Practitioner

KINETIC_SYSTEM_MATRIX

LIVE SIGNAL

Orbit: Mobile + AI + KMP Nodes CLICK CANVAS TO PULSE

01 // THE ENGINEER

Architecting for
Scale & Clarity.

Software engineering is about building robust, resilient, and observable systems that scale seamlessly.

My Engineering Journey

With 3 years of software engineering experience, I have focused on mastering high-performance Native Android alongside cross-platform technologies including Flutter, React Native, Kotlin Multiplatform (KMP), and Compose Multiplatform (CMP).

In the AI engineering domain, my expertise spans Retrieval-Augmented Generation (RAG) pipelines, On-Device Models (Ollama / Gemma), Vector Databases, LangGraph Multi-Agent Workflows, and OpenRouter LLM Routing.

My goal is to continuously push boundaries by building autonomous agentic tools like Kindle and ApplyAI, multi-agent automated PR generators like Loom, and memory-persistent engines like Memora with low-latency and clean architecture.

Philosophy

Clean Architecture

Decoupled domain models, strict MVI/MVVM states, and predictable data flow.

Cross-Platform

KMP, CMP, Flutter & RN

Shared core business logic across Android, iOS, Desktop, and Web.

AI Engineering

RAG & Agentic Loops

LangGraph multi-agent workflows, vector databases, and on-device model inference.

02 // WHAT I BUILD

Engineering Pillars

Four core domains defining my software engineering methodology and project output.

ANDROID & MOBILE

Native Android & Systems

Native Android development using Kotlin, Jetpack Compose, Room, Coroutines, and Android Framework internals. Structured with strict Clean Architecture, MVI, and zero-memory-leak state management.

Android SDK Kotlin Jetpack Compose Room DB MVI / MVVM

AI & AGENTS

AI Products & Agentic Systems

Building autonomous AI systems beyond basic chatbots. Implementing Retrieval-Augmented Generation (RAG), vector databases, multi-agent state graphs via LangGraph, OpenRouter, and Ollama on-device inference.

RAG Systems LangGraph Ollama / Gemma Vector DB OpenRouter

DEV TOOLS

Developer Tools & Infrastructure

Utilities that empower engineers. Multi-agent pull-request creation bots (Loom), low-overhead network monitoring libraries (TraceFlow), and automated testing CLIs powered by Vision AI (TestPilotAI).

LangGraph PR Agent Ktor Interceptors Rust UniFFI Vision AI CLI

MULTI-TARGET

Cross-Platform Mastery

Single-source business logic rendered natively across platforms. Extensive practical experience with Kotlin Multiplatform (KMP), Compose Multiplatform (CMP), Flutter, and React Native.

Flutter React Native KMP Compose Multiplatform

03 // SELECTED CASE STUDIES

Featured Engineering

Detailed breakdowns of my flagship open-source platforms and architectures: Kindle, Memora, Loom, Flint, and ApplyAI.

CASE STUDY 01 // SOFTWARE ALCHEMY PLATFORM

Kindle

OPEN SOURCE VIEW REPO ↗

WHAT IT IS

An end-to-end agentic workflow platform that distills abstract human ideas into buildable, multi-platform applications—from system architecture design to self-healing code generation.

KEY ENGINEERING HIGHLIGHTS

Architected multi-agent orchestration loop using LangGraph and OpenRouter API for parallel code generation.
Built a responsive cross-platform client with Flutter backed by PostgreSQL and Supabase.
Integrated automated static analysis & self-repair loops for generated software artifacts.

Flutter PostgreSQL LangGraph OpenRouter Agentic Workflow

MULTI-AGENT PIPELINE Kindle Core

01 Input: Product Idea Prompt

Architecture Agent (LangGraph)

02 Code Synthesizer & OpenRouter LLM

Self-Healing Repair Loop

03 Buildable Multi-Platform Artifact

CASE STUDY 02 // LONG-TERM RAG MEMORY ENGINE

Memora

OPEN SOURCE VIEW REPO ↗

WHAT IT IS

Conversational AI platform with persistent long-term memory. Features memory isolation, vector database indexing, and real-time semantic search for personalized persistent context across sessions.

KEY ENGINEERING HIGHLIGHTS

Built high-speed vector embedding index with cosine similarity search for instant memory retrieval.
Hybrid inference routing: On-device model execution via Ollama + Cloud LLM via OpenRouter.
React Native frontend with encrypted local SQLite vector caching for offline privacy.

React Native Vector Database RAG Pipeline Ollama On-Device AI

RAG MEMORY ARCHITECTURE Memora Core

01 User Context & Query Input

Semantic Vector Index Search

02 Vector DB & Context Retrieval Engine

Relevant Prompt Context Injection

03 Inference Response (Ollama / Gemini)

CASE STUDY 03 // OPEN-SOURCE CONTRIBUTION AGENT

Loom

OPEN SOURCE VIEW REPO ↗

WHAT IT IS

An open-source contribution agent. A human-in-the-loop multi-agent system that analyzes unfamiliar codebases, plans feature implementations, and automates pull-request creation.

KEY ENGINEERING HIGHLIGHTS

Architected stateful multi-agent DAG in Python using LangGraph to analyze git ASTs.
Containerized execution environment in Docker for sandboxed test execution & PR validation.
React Native mobile dashboard to monitor live PR generation and approve human-in-the-loop steps.

React Native Python LangGraph Docker OpenRouter

MULTI-AGENT WORKFLOW Loom Agent

01 GitHub Issue / Feature Specification

LangGraph Code & AST Analysis

02 Sandboxed Execution (Docker Container)

Human-in-the-Loop Approval

03 Automated GitHub Pull Request

CASE STUDY 04 // CROSS-PLATFORM AI SYSTEM

Flint

IN DEV VIEW REPO ↗

WHAT IT IS

Cross-Platform AI Content Operating System built with Compose Multiplatform. Transforms single raw ideas or voice media into synchronized multi-platform campaigns matching creator style guidelines.

KEY ENGINEERING HIGHLIGHTS

Architected shared desktop and mobile UI using Compose Multiplatform (CMP) and KMP.
Implemented custom creator style vector embedding matcher using Firebase & Ktor backend.
Multi-LLM task distribution: Gemini for structuring, Claude for stylistic prose, GPT for thread formatting.

Compose Multiplatform KMP Ktor Firebase AI Router

MULTI-TARGET ARCHITECTURE Flint Core

01 Raw Idea / Voice Media Input

Shared CMP ViewModel Pipeline

02 Creator DNA Matcher & Prompt Engine

Parallel Multi-LLM Execution

03 YouTube / X / Newsletter Outputs

CASE STUDY 05 // AGENTIC AI AUTOMATION

ApplyAI

IN ACTIVE DEV VIEW REPO ↗

WHAT IT IS

An autonomous job application automation platform that orchestrates intelligent resume tailoring, multimodal document parsing, and auto-fill engines across complex job portals using agentic LLM routing.

KEY ENGINEERING HIGHLIGHTS

Built multi-step agentic decision loops using Gemini API & OpenRouter for context-aware resume alignment.
Integrated Supabase for encrypted user state storage and resume vector embeddings.
Designed resilient DOM/UI inspection mechanisms that handle dynamic form updates automatically.

Gemini API OpenRouter Supabase Agentic Workflow TypeScript

SYSTEM ARCHITECTURE ApplyAI Core

01 Input: Resume (PDF) + Job Portal URL

Multimodal Document Extraction

02 Agentic Decision Engine (Gemini API)

Structured Form Payload Generation

03 Automated Form Auto-Fill & Validation

04 // INTERACTIVE SYSTEM MAP

Project Constellation

Hover or click ecosystem nodes to inspect how projects interconnect across technical domains.

CATEGORIES: ● Mobile ● AI / Agentic ● Dev Tools

Interactive Ecosystem Map

ENGINEERING PRINCIPLES

How I Think & Build

Core beliefs guiding every technical decision, pull request, and system architecture.

01 // PLATFORM FIRST

Respect Device Constraints

Battery, frame budget, and memory limits are non-negotiable. Software must feel native, snappy, and light on system resources.

02 // ARCHITECTURE

Share Business Logic

Abstract domain logic cleanly across platforms using KMP & CMP, while leaving UI native where native performance matters most.

03 // AI SYSTEMS

AI as Executable Tools

LLMs are reasoning engines, not novelty chatbots. Integrate them into deterministic pipelines with explicit tool calling.

04 // OBSERVABILITY

Observability by Default

If you cannot inspect network requests or state transitions in real time, you cannot reliably scale or debug production apps.

PROFESSIONAL EVOLUTION

Technical Evolution

3 years of continuous engineering expansion across platforms and emerging paradigms.

2023 — 2024 // NATIVE MOBILE & CROSS-PLATFORM

Native Android, Flutter & React Native

Mastered Android Framework internals, Jetpack Compose, Flutter, React Native, and strict Clean Architecture (MVI/MVVM) for enterprise mobile builds.

2024 — 2025 // KMP, CMP & INFRASTRUCTURE

Kotlin Multiplatform & Compose Multiplatform

Pioneered single-source multi-target architectures across Android, iOS, Desktop, and Web using KMP and CMP, creating developer tools like TraceFlow.

2025 — 2026 // AGENTIC AI & RAG PIPELINES

LangGraph, Vector DBs & On-Device Models

Pioneered multi-agent AI systems, RAG vector pipelines, and on-device Ollama/Gemma model integrations across platforms like Kindle, Memora, Loom, and ApplyAI.

05 // TECHNICAL MATRIX

Skills & Technologies

Verified software engineering tools, frameworks, and architectural proficiencies.

Android & Native

Android SDKEXPERT
Kotlin / CoroutinesEXPERT
Jetpack ComposeADVANCED
Android FrameworkADVANCED
Room / SQLiteADVANCED
Swift / iOSPROFICIENT

Cross-Platform Mastery

Kotlin Multiplatform (KMP)EXPERT
Compose Multiplatform (CMP)EXPERT
FlutterEXPERT
React Native / ExpoADVANCED
TypeScriptADVANCED

AI & Agentic Systems

RAG ArchitectureADVANCED
LangGraph / Multi-AgentADVANCED
Vector DatabasesADVANCED
Ollama / Gemma On-DeviceADVANCED
OpenRouter / LLM RoutingADVANCED

Backend & Infrastructure

Ktor FrameworkADVANCED
Node.js / ExpressADVANCED
Supabase / PostgreSQLADVANCED
Firebase ServicesADVANCED
Rust (UniFFI)PRACTITIONER

Architecture & Quality

MVI / MVVM ArchitectureEXPERT
Clean ArchitectureEXPERT
System Design (LLD & HLD)ADVANCED
Playwright / AppiumADVANCED
CI/CD PipelinesADVANCED

Certifications

Agentic Engineer CertificationMAR 2026
Multi-Modular KMP ArchitectureMAR 2026
Ultimate Compose MultiplatformMAR 2026
iOS & Swift App Development2025

06 // COMPLETE ECOSYSTEM

Project Archive

Search and filter my public repository collection of 100+ platforms, developer libraries, and experimental software.

LET'S BUILD TOGETHER

Building a Challenging
Mobile, AI, or System Project?

I am always interested in discussing complex mobile system architectures, cross-platform engineering, agentic AI products, or engineering roles.

CONNECT ON LINKEDIN ↗ VISIT GITHUB WORKSPACE ↗

Building Mobile Systems, Not Just Screens.

Architecting for Scale & Clarity.

My Engineering Journey

Clean Architecture

KMP, CMP, Flutter & RN

RAG & Agentic Loops

Engineering Pillars

Native Android & Systems

AI Products & Agentic Systems

Developer Tools & Infrastructure

Cross-Platform Mastery

Featured Engineering

Kindle

WHAT IT IS

KEY ENGINEERING HIGHLIGHTS

Memora

WHAT IT IS

KEY ENGINEERING HIGHLIGHTS

Loom

WHAT IT IS

KEY ENGINEERING HIGHLIGHTS

Flint

WHAT IT IS

KEY ENGINEERING HIGHLIGHTS

ApplyAI

WHAT IT IS

KEY ENGINEERING HIGHLIGHTS

Project Constellation

How I Think & Build

Respect Device Constraints

Share Business Logic

AI as Executable Tools

Observability by Default

Technical Evolution

Native Android, Flutter & React Native

Kotlin Multiplatform & Compose Multiplatform

LangGraph, Vector DBs & On-Device Models

Skills & Technologies

Android & Native

Cross-Platform Mastery

AI & Agentic Systems

Backend & Infrastructure

Architecture & Quality

Certifications

Project Archive

Building a Challenging Mobile, AI, or System Project?

Building Mobile Systems,
Not Just Screens.

Architecting for
Scale & Clarity.

Building a Challenging
Mobile, AI, or System Project?