I'm Vinayak, AI/ML Engineer at LPL Financial. I build systems that detect risk in large-scale transaction data, processing 300K trades daily across 12K advisors. I focus on turning messy, real-world data into reliable signals that compliance teams can actually act on.
The hard part isn't building the model, it's prioritization and usability. With only 8–10 analysts handling hundreds of alerts per day, I tune for precision, reduce noise, and iterate based on what actually drives decisions.
Ask me about ML engineering, working with messy data, building systems users trust, and balancing precision with real-world constraints.
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