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Reduced real-time financial data latency from 200ms to 32ms for 2M+ users by redesigning the update pipeline with custom binary encoding.","fieldKeys":["experiences"]},{"id":"education:0","type":"education","ordinal":0,"locale":"zh","text":"Bhargavi Kurukunda. AI/ML Engineer. Education / 學歷: MS. Computer Science. University of California Santa Barbara (UCSB)","fieldKeys":["educations"]},{"id":"education:1","type":"education","ordinal":1,"locale":"zh","text":"Bhargavi Kurukunda. AI/ML Engineer. Education / 學歷: BTech. Computer Science and Engineering. International Institute of Information Technology, Hyderabad (IIITH)","fieldKeys":["educations"]},{"id":"project:0","type":"project","ordinal":0,"locale":"zh","text":"Bhargavi Kurukunda. AI/ML Engineer. Project / 專案: ML Stock Ranking & Insights MCP. Built with / 使用技術: XGBoost, SHAP, MCP, SQLite. Developed an XGBoost ranking model for stock outperformance and exposed insights via MCP tools for LLM-grounded rationale generation.","fieldKeys":["projects"]},{"id":"project:1","type":"project","ordinal":1,"locale":"zh","text":"Bhargavi Kurukunda. AI/ML Engineer. Project / 專案: WhatsApp Notification Router. Built with / 使用技術: Multimodal LLM Routing, Groq, Gemini. Built a multimodal LLM routing pipeline achieving 96.7% accuracy across 110 messages with per-row fault isolation.","fieldKeys":["projects"]},{"id":"discovery:1","type":"discovery","ordinal":1,"locale":"zh","text":"Bhargavi Kurukunda. AI/ML Engineer. Approved discovery query / 核准搜尋語句: AI/ML Engineer","fieldKeys":["display_name","headline","desired_queries"]},{"id":"discovery:2","type":"discovery","ordinal":2,"locale":"zh","text":"Bhargavi Kurukunda. AI/ML Engineer. Approved discovery query / 核准搜尋語句: LLM APIs Claude Gemini","fieldKeys":["display_name","headline","desired_queries"]}]}