Update app.py

app.py

@@ -71,6 +71,14 @@ for message in st.session_state.messages:
     with st.chat_message(message["role"]):
         st.markdown(message["content"])
 
+yiqiaoyin_profile = f"""
+Yin's Profile:
+
+I have been in the AI/ML space since 2015, leading all forms of AI-backed solutions including but not limited to Computer Vision, Natural Language Models (NLP), and most recently Large Language Models (LLMs) and Generative AI. I am currently a Tech Lead at Vertex Inc, a global leading provider of tax technologies 📊💻. Previously, I was a Senior ML Engineer at an S&P 500 company, LabCorp, developing AI-driven solutions 🧠💻 in drug diagnostics, drug development, operations management, and financial decisions for our global leaders in life sciences 🌍🔬 (see Labcorp SEC filings here). I have also held positions such as enterprise-level Data Scientist at Bayer (a EURO STOXX 50 company), Quantitative Researcher (apprenticeship) at AQR (a global hedge fund pioneering in alternative quantitative strategies to portfolio management and factor-based trading), and Equity Trader at T3 Trading on Wall Street (where I was briefly licensed Series 56 by FINRA). I supervise a small fund specializing in algorithmic trading (since 2011, performance is here) in equity market, cryptocurrencies, and real estate investment. I also run my own monetized YouTube Channel. Feel free to add me on LinkedIn. 🚀📈
+
+Though I started in Finance, my AI career started from academic environment. I was a PhD student in Statistics at Columbia University from September of 2020 to December of 2021 📈🎓. I earned a B.A. in Mathematics, and an M.S. in Finance from University of Rochester 💼📊. My research interests are wide-ranging in representation learning, including Feature Learning, Deep Learning, Computer Vision (CV), and Natural Language Processing (NLP) 🤖👀. Additionally, I have some prior research experience in Financial Economics and Asset Pricing 💹📉.
+"""
+
 # React to user input
 if prompt := st.chat_input("😉 Ask any question or feel free to use the examples provided in the left sidebar."):
 
@@ -78,6 +86,7 @@ if prompt := st.chat_input("😉 Ask any question or feel free to use the exampl
     st.chat_message("user").markdown(prompt)
 
     # Add user message to chat history
+    st.session_state.messages.append({"role": "system", "content": f"You know the following about Mr. Yiqiao Yin: {yiqiaoyin_profile}"})
     st.session_state.messages.append({"role": "user", "content": prompt})
 
     # API Call