I build high-performance, type-safe digital ecosystems. My workflow is anchored in Native Android and Kotlin Multiplatform, extended by a robust Full-Stack Web secondary layer, and pushed to the frontier by Quantum Machine Learning research.

• 🚀 Primary: Native Android (Jetpack Compose) & Kotlin Multiplatform (KMM).
• 🌐 Secondary: Modern Web (Next.js, React, Node.js) & TypeScript.
• ⚛️ Deep Tech: Quantum ML (QML) exploration for Galaxy Classification & Exoplanet Detection.

Deep-space analysis using Hybrid Classical-Quantum models.

• Utilizing Variational Quantum Classifiers (VQC) on NASA Kepler datasets to improve planetary transit detection in noisy light curves.
• Benchmarking Quantum Feature Maps against classical CNNs for automated Galaxy Classification.

Offline-First Native Ledger Application

• Stack: Kotlin, Jetpack Compose, Room DB, WorkManager, Preferences DataStore, MVI, Clean Architecture.
• Architected a robust mobile system to resolve complex peer debt graphs using an asynchronous local data layer.
• Engineered reactive state pipelines leveraging Kotlin Flows and persistent key-value configuration states.
• Scheduled background background processing syncs via WorkManager for transactional data queuing under volatile network states.
• 💡 Want to try it out? Grab the latest production APK ready to install from the GitHub Releases tab.

Real-Time Cross-Vernacular Mobile Script Converter

• Stack: Camera2 API, Android SDK, Kotlin, FastAPI, Google ML Kit, Aksharamukha, Python.
• Built a native performance mobile script conversion subsystem capable of streaming raw camera buffers in real-time.
• Designed a high-throughput processing pipeline utilizing on-device Google ML Kit OCR configurations for sub-second text extraction.
• Established low-latency connections between async Android clients and a localized custom FastAPI inference backend.

Computer Vision Analytics & Administrative Control Room

• Stack: Python, YOLOv8, OpenCV, Tesseract OCR, React, Node.js, RESTful APIs.
• Engineered a computer vision object detection and tracking stream processing at 30+ FPS during an intensive IEEE Hackathon.
• Implemented Tesseract OCR and tuned custom binarization and localization thresholds to automate license plate isolation in sub-optimal exposure environments.
• Architected a full-stack administrative command dashboard using Vite + React bound to an internal orchestration backend via structured RESTful routing layers.

I am currently deep-diving into the following technologies:

• Advanced KMM (Ktor & SQLDelight)
• Web Mastery (Next.js Server Components)
• Quantum Depth (QCNNs & VQE)
• Edge AI (On-device KMM Models)

Let's build the future together!
LinkedIn • Portfolio • LeetCode