
Backend & On-Device AI Engineer
Building resilient backend architectures, real-time APIs, and private on-device LLM systems.
I specialize in Python and Django backend systems, real-time WebSockets, and database optimizations. Recently, my focus has been on local AI: fine-tuning models with LoRA, running GGUF-quantized models on-device via llama-cpp-python, and embedding inference pipelines into cross-platform Flutter applications.
Experience
Riseup Asia LLC. (Remote)
Implemented private, on-device LLMs across multiple apps to ensure data security and eliminate server costs.
Conducted R&D on on-device LLM integration for mobile applications to optimize local AI features.
Fine-tuned models using LoRA and performed GGUF quantization and testing with llama-cpp-python.
Altersense Ltd.
Engineered RPA solutions using Python, Django, and Selenium to automate garment industry commercial workflows.
Optimized automation scripts to improve total task completion rates by 30%.
Eutropia IT
Built secure, authenticated APIs for high-scale web-scraping using DRF and BeautifulSoup.
Optimized structured data extraction pipelines, improving data reliability and system maintainability for clients.
Skills & Stack
Scalable services, asynchronous jobs, and real-time WebSocket communication.
Local inference pipelines, quantization, and private model fine-tuning.
Cross-platform mobile apps embedding local AI models and pragmatic web frontends.
Data extraction pipelines, automated RPA scripts, and containerization.
Education
University of Asia Pacific
Engineering University School & College
St. Gregory's High School
Projects

A mobile application for long-form audio transcription running locally on-device.

An AI-powered tool that analyzes PDF resumes against job roles and required skills using local LLMs.

A real-time web chat app with private messaging, group chat, and online presence using Django Channels.
Updates
development · working
Engineered an autonomous Slack agent leveraging LangGraph and OpenRouter for multi-step reasoning, dynamic tool invocation, and contextual workspace automation.
development · working
Architected a production-ready e-commerce system featuring a Next.js frontend integrated with a robust Python/Django and Django REST Framework backend.
Get in Touch
Whether you have a question about backend architecture, want to discuss on-device LLMs, or have an open engineering role, feel free to reach out.