I'm an engineer driven by a simple belief: for every complex problem, there is an elegant, high-performance solution waiting to be built. My journey, inspired by the boundless worlds of gaming, has evolved into a passion for architecting intelligent, robust, and beautiful systems—from the bare metal to the user's fingertips.
My professional focus is concentrated on two core pillars where I aim to deliver maximum impact:
- 🧠 AI & Machine Learning: Architecting and deploying production-grade intelligent systems. My expertise spans from computer vision pipelines with
PythonandLangchainto exploring next-generation AI performance withMojo 🔥. - ☁️ Cloud-Native & High-Performance Systems: Forging rock-solid, lightning-fast services with
Rustand deploying them on scalable cloud infrastructure using technologies likeAWS,CloudflareandDocker.
Beyond my core focus, I leverage my experience in frontend and game development as a creative outlet and to build full-stack personal projects:
- 📱 Frontend & Mobile: Using
Flutterto create intuitive user interfaces for my backend services. - 🎮 Game Development: Exploring creativity and interactive design with the
Godot Engine.
My primary goal is to deepen my expertise in AI and Cloud technologies:
- Mastering
Rust: Building a deep understanding of systems programming for high-performance cloud services. - Production-Ready AI: Architecting scalable, end-to-end MLOps pipelines with
PythonandFastAPI.
As a passion, I continue to:
- Build
SCSmash!: My personal game project using theGodot Engine. - Explore
Swift: Strategically learning Swift to understand native platform capabilities.
A selection of my work, including proprietary and open-source projects:
Click to expand and see project details
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- Description: Designed and built a modern, fast, and reliable microservices system ready for Kubernetes deployment.
- Technologies:
Cloudflare(Workers, Tunnels),Docker,Traefik(Load Balancer),Flutter,GraphQL,FastAPI,RabbitMQ,Couchbase,VictoriaMetrics&Grafana. - Note: This project is a proprietary, full-stack implementation showcasing modern DevOps and backend principles.
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- Description: An award-winning system that facilitates remote management of hotel rooms through an AI-supported IoT infrastructure.
- Technologies:
Flutter,AWS(IoT Core, MQTT, Lambda, DynamoDB),Amplify v2,GraphQL,Raspberry Pi. - Achievement: Secured a top-three finish in a highly competitive national technology competition.
- The project code source will be available soon.
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- Description: An intelligent application for analyzing and categorizing invoices, currently under development.
- Technologies:
Flutter,Google ML Kit,Gemini API,Firebase.
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- Description: Developed an artificial intelligence and visual position estimation algorithm to control drone landing, identifying safe zones and obstacles.
- Technologies:
Python,OpenCV,YOLO, Computer Vision Libraries. - Achievement: Recognized as a finalist for its innovative approach to autonomous control.
- The project code source will be available soon.
-
- Description: Engineered functional embedded software for a satellite payload. The system managed data telemetry, parachute deployment, and live video transmission with a command-based color filter.
- Technologies:
STM32 F401 (FreeRTOS),Raspberry Pi(Zero W & Camera),LoRa,TS/RS822,Servo Motors, Sensors (BMP280,MPU9250). - Note: This project involved complex hardware-software integration under challenging constraints.
- The project code source will be available soon.
