AI/ML engineer and computer science student focused on building reliable language model systems, local AI assistants, and research-driven machine learning projects.
- 🔬 Researching selective question answering, confidence calibration, and reliable abstention
- 🤖 Building local-first AI assistants and practical LLM applications
- 🧠 Interested in trustworthy AI, NLP, deep learning, and model evaluation
- 🛠️ Turning research ideas into reproducible experiments and working systems
A modular research framework for reliable selective question answering through confidence calibration, evidence verification, and abstention policies.
A local-first personal AI assistant designed around privacy, memory, and modular intelligence.
Experiments involving tokenisation, transformer architecture, fine-tuning, retrieval-augmented generation, and local inference.
Python · PyTorch · Transformers · Machine Learning · Deep Learning · Natural Language Processing · LLMs · RAG · FastAPI · Git
I am currently focused on improving the reliability of AI systems and developing research projects that combine strong experimentation, clear evaluation, and practical implementation.