Added Ai-ml resoruces page

docs/ai-ml-resources.md

@@ -0,0 +1,40 @@
+# AI/ML Resources
+
+This page is a collection of AI/ML resources that I update regularly. Feel free to suggest new resources via my [contact page](contact.md).
+
+## Books
+
+### AI/ML
+
+- [AI Engineering Book by Chip Huyen](https://a.co/d/1yFRjhV)
+- [Hands-On Large Language Models by Jay Alammar & Maarten Grootendorst](https://a.co/d/eTCQLsw)
+
+### MLOPs
+
+- [Generative AI on AWS by Chris Fregly, Antje Barth & Shelbee Eigenbrode](https://a.co/d/3bz4c1w): This is a great book that talks covers the following topics
+    - Various MLOPS services available in AWS ecosystem.
+    - High level concepts in LLM with enough level of depth.
+    - Various use cases of LLM with code snippet that has used various open sourced LLM.
+- [Designing Machine Learning Systems by Chip Huyen](https://a.co/d/53xfE7T)
+
+## Important Papers
+
+This section lists down all the important / popular papers:
+
+- [Attention Is All You Need](technical-papers/NIPS-2017-attention-is-all-you-need-Paper.pdf): A pivotal paper publish by google that introduced Transformer in LLM architecture.
+
+## Engineering Blog
+
+This section contains the various engineering blogs links specifically around AI/ML topics.
+
+- [Airbnb engineering blog](https://medium.com/airbnb-engineering/tagged/machine-learning)
+- [Databricks engineering blog](https://www.databricks.com/blog/category/engineering/data-science-machine-learning)
+- [Facebook engineering blog](https://engineering.fb.com/category/ml-applications/)
+- [Google engineering blog](https://cloud.google.com/blog/products/ai-machine-learning)
+- [Instagram engineering blog](https://instagram-engineering.com/tagged/machine-learning)
+- [Lyft engineering blog](https://eng.lyft.com/tagged/machine-learning)
+- [Netflix engineering blog](https://netflixtechblog.com/tagged/machine-learning)
+- [OpenAi engineering blog](https://blogboard.io/source-feed/source/openai-blog)
+- [Pinterest engineering blog](https://medium.com/pinterest-engineering/tagged/machine-learning)
+- [Robinhood engineering blog](https://medium.com/robinhood-engineering/eng/home)
+- [Uber engineering blogs](https://www.uber.com/blog/engineering/data/)

docs/talks.md

@@ -13,7 +13,8 @@ To help me better understand the scope and determine my availability, please sha
 You can find my contact details [here](contact.md). I look forward to hearing from you soon and hopefully collaborating!
 
 ???+ note
-If you're interested in speaking at tech conferences, [this list](https://github.com/rakeshcusat/tech-conference) is a great resource to find relevant events. As an open-source project, contributions are encouraged.
+
+    If you're interested in speaking at tech conferences, [this list](https://github.com/rakeshcusat/tech-conference) is a great resource to find relevant events. As an open-source project, contributions are encouraged.
 
 ## Upcoming Talks
 

mkdocs.yml

@@ -17,6 +17,7 @@ nav:
     - Home: index.md
     - Experiences: experiences.md
     - Talks: talks.md
+    - AI/ML Resources: ai-ml-resources.md
     - Yearly Goals: yearly-goals.md
     - Contact Me: contact.md