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.

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%.

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.