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const AI_Engineer = () => {
const [isAligning, setIsAligning] = useState(true);
const technicalFocus = {
name: 'Henrik Sachdeva',
specialization: 'LLM Alignment & RAG',
frameworks: ['PyTorch', 'Hugging Face'],
};
const optimize = async (model) => {
await applyORPO(model, { peft: "LoRA" });
return "Model Aligned";
};
return (
<AI_Portfolio>
<Bio>{technicalFocus.specialization}</Bio>
<Skills>{technicalFocus.frameworks}</Skills>
<CTA>
<Link href="/projects">Explore AI Projects</Link>
</CTA>
</AI_Portfolio>
);
};
export default AI_Engineer;
Henrik Sachdeva
AI & Machine Learning (Student)
Specializing in LLM fine-tuning, alignment, and RAG. I build end-to-end NLP pipelines using PyTorch, Hugging Face, and FAISS to optimize model reasoning and efficiency.
My Resumef(x)
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