1  from pathlib import Path
 2  
 3  import streamlit as st
 4  from streamlit_extras.colored_header import colored_header
 5  
 6  from src.setup.paths import IMAGES_DIR
 7  
 8  
 9  colored_header(label=":violet[About Me]", description="", color_name="green-70")
10  
11  
12  col1, col2, col3 = st.columns([1,2,1])
13  
14  with col2:
15      profile_image_path: Path = IMAGES_DIR.joinpath("profile.jpeg")
16      st.image(str(profile_image_path), width=300)
17  
18  st.markdown(
19      """
20      Hi there! My name is Kobina, and I'm a mathematician and Machine Learning Engineer.
21      Thanks for using the service. You can view its code [here](https://app.radicle.xyz/nodes/kobina.seednode.xyz/rad:zVhC4MGvgB8YMjvBuBNoQsSGtac6).
22  
23      Making this application was quite the adventure, and it's been a very rewarding experience that has taught me a great deal. 
24      I'll continue to maintain and improve the system, and I hope that Lyft continue to provide data on a monthly basis. 
25  
26      I am currently building other machine learning systems, and incorporating elements of distributed systems into my skillset. So I 
27      try to keep myself busy with these projects when I'm not at my day job.
28  
29      If you have data, and some ideas about how a AI/ML application can be built around it to bring value to your business, 
30      consider reaching out to me.
31      
32      You can find a link to my publicly available work [here](https://app.radicle.xyz/nodes/kobina.seednode.xyz/rad:zVhC4MGvgB8YMjvBuBNoQsSGtac6), and my 
33      LinkedIn [here](https://www.linkedin.com/in/kobina-brandon-aa9445134).
34      """
35  )
36