Hire Ivy D. - Fine-Tuning Engineer

About ivy

I'm a Master's student in Computer Science at the University of Illinois Urbana-Champaign (graduating Spring 2027), focused on Machine Learning and Generative AI. My work has centered on large language models and multimodal AI. I built a Qwen3-3B post-training platform for optical-network operations (SFT + GRPO-based RLHF), a LLaVA-style multimodal pipeline for wireless network optimization at Huawei, and a RAG- and agent-based trade intelligence assistant. Across these projects I care about the full pipeline—from data curation and fine-tuning to efficient production serving—delivering measurable gains like +17% operator preference win rate and 2.3x inference throughput. My technical skill set spans LLM fine-tuning and retrieval (LoRA/QLoRA, RAG, FAISS/HNSW, reranking), multimodal and graph neural networks, distributed training (DeepSpeed, vLLM), and MLOps tools such as PyTorch, Docker, FastAPI, and Kubernetes. Fluent in Mandarin and English, I'm seeking Spring 2027 machine-learning internships and full-time MLE / Generative AI roles upon graduation.

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