Update about me

Author: whiletruelearn

content/about/me.md

@@ -9,15 +9,10 @@ draft: true
 
 Hello World,
 
-Thanks for checking out my website. My name is Krishna Sangeeth, I am currently working as a Data Scientist as part of the Global AI Accelerator 
-group in Ericsson. Prior to Ericsson I have worked on solving the large scale hierarchial classification problem at Indix and Data Fusion problem
-for Nielsen. I have also had a run in with many diverse engineering problems at TCS ranging from legacy systems such as Mainframes, Fortran to Bigdata
-systems like Spark, Hadoop etc. Over my career, my philosophy towards work has been to be passionate and eager about learning something and keep
-getting better at my skills.
+Thanks for checking out my website. My name is Krishna Sangeeth, I am currently working as a ML Lead at Avalara on problems related to document understanding and MLOps. Previously I was a Senior Data Scientist as part of the Global AI Accelerator group in Ericsson working on problem statements such as Timeseries Forecasting, Anomaly detection, Root cause Analysis, Network data Analytics. 
+Prior to Ericsson I have worked on solving the large scale hierarchial classification problem at Indix and Data Fusion problem for Nielsen. I have also had a run in with many diverse engineering problems at TCS ranging from legacy systems such as Mainframes, Fortran to Bigdata systems like Spark, Hadoop etc. 
 
-I care deeply about building robust ML Software products that bring value to the business and work in production. I am specifically interested in 
-Nature Language Processing (NLP) as a subfield where i have done most of my work. I am also interested in distributed systems and building scalable
-solutions. Not a fan boy of any particular technology stack, but i do tend to use Python for getting most of the things done.
+I care deeply about building robust ML Software products that bring value to the business and work in production. I am specifically interested in Nature Language Processing (NLP) as a subfield where i have done most of my work. I am also interested in distributed systems and building scalable solutions. Not a fan boy of any particular technology stack, but i do tend to use Python for getting most of the things done.
 
 I am an open-source enthusiast with successful code contributions made to projects such as scikit-learn, mlflow etc. I am not very active lately, but  
 you can see some of my opensource work [here](https://github.com/whiletruelearn).