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Sandy Shen on Muck Rack

Sandy Shen

Shanghai
As seen in: Gartner, Business Wire, PRWeb, KTLA-TV (Los Angeles, CA), DEV Community, StreetInsider, ADVFN, Bizcommunity, TMCnet, Stockhouse, WPIX-TV (New York, NY) and
Mobile payment and commerce analyst at Gartner. Amateur tea maker, baker, photographer and yogi.
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Articles

The Path to Agentic Commerce: How Brands Can Win Discovery, Earn Trust, and Prepare for AI Buyers

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By Sandy Shen
| Total Retail Verified
Agentic commerce is emerging fast, even if purchases are still small today. While artificial intelligence agents only make a small minority of purchases on commerce sites, traffic generated by AI agents is growing rapidly. The shift in product discovery is already underway, and it will reshape how customers buy and brands sell.
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ZFLOW AI's Simulation-Guided Optimization Identifies a 1.54× Higher-Throughput Serving Configuration for DeepSeek V4-Pro on 8×B300 Original

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By Sandy Shen
| Business Wire
ZFLOW AI's Simulation-Guided Optimization Identifies a 1.54× Higher-Throughput Serving Configuration for DeepSeek V4-Pro on 8×B300 Working on PaleBlueDot AI's NVIDIA B300 platform, ZFLOW AI used hardware-aware simulation to find an optimized SGLang serving configuration for high-concurrency DeepSeek V4-Pro inference.
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Stop tuning LLM agents with live API calls: A simulation-based approach

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By Sandy Shen
| DEV Community
LLM agent configuration is a surprisingly large search space, including model choice, thinking depth, timeout, and context window. Most teams pick a setup once and never revisit it. Manual tuning with live API calls is slow and expensive, and usually only happens after something breaks. We explored a different approach: simulate first, then deploy. Instead of calling the model for every trial, we built a lightweight parametric simulator and replayed hundreds of configuration variants offline.
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