I’m a Full-Stack Developer and AI Systems Engineer focused on building Modern Web & Mobile Apps, privacy-conscious, and real-world deployable systems.

My work spans local AI assistants, mobile & web applications, machine learning systems with UI, and IoT + embedded platforms, with a strong emphasis on system architecture rather than surface-level demos.

I’ve built everything from an offline AI assistant with persistent memory to CubeSat ground communication systems. I care deeply about how systems behave under constraints: offline usage, limited hardware, performance, and reliability.

I use modern AI tools pragmatically to accelerate development—but the focus stays on engineering decisions, architecture, and execution.

• Languages: Python, JavaScript, TypeScript, C/C++, Java
• Frontend: React.js, React Native (Expo & CLI), Next.js, Tailwind CSS, HTML, CSS
• Backend & APIs: Node.js, Express.js, Flask, REST API design
• Mobile: Cross-platform Android & iOS development

• Local AI Systems: Ollama (local LLMs), offline inference, modular AI architecture
• Machine Learning: Scikit-learn, data preprocessing, feature engineering, model evaluation
• AI Applications: Context-aware assistants, AI search systems, ML + UI integration
• Core Focus: Offline-first design, privacy, performance, extensibility

• Hardware: Arduino, ESP32, Raspberry Pi, sensors & actuators
• Protocols: UART, I2C, SPI, MQTT
• Systems: IoT safety systems, data acquisition, ground station communication
• Embedded Programming: C/C++ for microcontrollers

• SQLite (persistent local memory systems)
• MongoDB
• Firebase

• Git & GitHub
• VS Code, Postman
• Figma (UI/UX workflows)
• Docker (basic usage)
• AI-assisted tools: ChatGPT, Google Gemini, Blackbox, Lovable

I don’t drink, but I know the thing! 😉