AI Engineer — Production LLMs & Applied ML

I build and deploy ML systems that improve accuracy, latency, and cost.

🔗 Portfolio 💼 LinkedIn 📄 Resume

• Production LLM systems (RAG, fine-tuning, evaluation)
• NLP & document understanding (OCR, financial parsing)
• Performance-focused backend systems (Python → Go)
• End-to-end ML deployment and iteration

AI-powered adaptive learning platform using LLMs and recommendation systems
→ Go backend (~100× performance improvement), RAG pipelines, Flutter frontend
🔗 Case study: TBD

Detect and classify Personally Identifiable Information (PII) in essays. Kaggle competition where I won bronze medal.

LLM fine-tuning + statistical analysis to measure media bias

Python • Go • PyTorch • Hugging Face • LLM Fine-Tuning (QLoRA) • RAG
Docker • Kubernetes • Linux