Hi there, I'm Daniel 👋

AI/ML Engineer

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Tech Stack

• Languages

• ML / AI

• Backend / Data

• Infra / Platform

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Projects

• MLIS — Built a distributed AI platform with control/data plane separation, admission control, workload isolation, and resource-aware scheduling for production ML workloads.

• AttnForge — Built and benchmarked custom CUDA attention kernels for LLM prefill and decode, integrated them into a lightweight inference runtime, and established a validated baseline against PyTorch SDPA on NVIDIA H100 across context lengths 512-4096.

• applied-ai-lab — Organized a hands-on applied AI seminar repository covering prompting, tools, agent workflows, and RAG patterns across four topic areas.

• Ecommerce_Recommender_System — Built an e-commerce recommender system with feature engineering and multiple ranking/modeling approaches, including LR, GBDT, and wide/deep methods on large-scale user behavior data.

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