Building intelligent systems & seamless UIs • Deep learning with transformers • LLMs on Hugging Face • Reliable RAG apps
- 🌱 Learning advanced ML/DL and transformers; exploring LLMs, Hugging Face, and RAG for production‑ready apps
- 🔭 Building full‑stack + AI/ML projects with LLM integrations, evaluation, and data-centric workflows
- 🎯 Goals: Master NLP/LLMs, design robust RAG systems, and level up DevOps/MLOps for dependable releases
Languages
Frontend & Backend
AI & ML
Tools & Platforms
- Efficient fine‑tuning (LoRA/PEFT) and instruction‑tuning for domain adaptation
- Retrieval strategies (semantic/hybrid), chunking/indexing trade‑offs, guardrails, and latency/quality balancing
- Evaluation for faithfulness and relevance; iterative dataset curation and prompt refinement
When I’m not hacking code, catch me:
- Dropping dubs in PC/mobile games
- Vibing to tunes (EDM, lo-fi, metal)
- Reading manhwa/webtoons
- Binging sci‑fi shows & thrillers