Update website with professional information and about page

Author: Andrew Mao

_config.yml

@@ -17,14 +17,13 @@ minimal_mistakes_skin    : "default" # "air", "aqua", "contrast", "dark", "dirt"
 # Site Settings
 locale                   : "en-US"
 rtl                      : # true, false (default) # turns direction of the page into right to left for RTL languages
-title                    : "Site Title"
-title_separator          : "-"
-subtitle                 : # site tagline that appears below site title in masthead
-name                     : "Your Name"
-description              : "An amazing website."
-url                      : # the base hostname & protocol for your site e.g. "https://mmistakes.github.io"
-baseurl                  : # the subpath of your site, e.g. "/blog"
-repository               : # GitHub username/repo-name e.g. "mmistakes/minimal-mistakes"
+title                    : Andrew Mao
+subtitle: Machine Learning Engineer
+description: >- # this means to ignore newlines until "baseurl:"
+  Software engineer specializing in generative AI with over three years of experience in industry and academia. Track record of building machine learning infrastructure for training, testing, and serving language models at scale.
+url: "https://maosef.github.io" # the base hostname & protocol for your site, e.g. http://example.com
+baseurl: "" # the subpath of your site, e.g. /blog
+repository: maosef/maosef.github.io
 teaser                   : # path of fallback teaser image, e.g. "/assets/images/500x300.png"
 logo                     : # path of logo image to display in the masthead, e.g. "/assets/images/88x88.png"
 masthead_title           : # overrides the website title displayed in the masthead, use " " for no title
@@ -113,30 +112,18 @@ analytics:
 
 # Site Author
 author:
-  name             : "Your Name"
-  avatar           : # path of avatar image, e.g. "/assets/images/bio-photo.jpg"
-  bio              : "I am an **amazing** person."
-  location         : "Somewhere"
-  email            :
+  name: "Andrew Mao"
+  avatar: "/assets/images/bio-photo.jpg"
+  bio: "Machine Learning Engineer at DRW"
+  location: "Chicago, Illinois"
+  email: "andrewmao@umd.edu"
   links:
-    - label: "Email"
-      icon: "fas fa-fw fa-envelope-square"
-      # url: "mailto:your.name@email.com"
-    - label: "Website"
-      icon: "fas fa-fw fa-link"
-      # url: "https://your-website.com"
-    - label: "Twitter"
-      icon: "fab fa-fw fa-twitter-square"
-      # url: "https://twitter.com/"
-    - label: "Facebook"
-      icon: "fab fa-fw fa-facebook-square"
-      # url: "https://facebook.com/"
-    - label: "GitHub"
-      icon: "fab fa-fw fa-github"
-      # url: "https://github.com/"
-    - label: "Instagram"
-      icon: "fab fa-fw fa-instagram"
-      # url: "https://instagram.com/"
+    - label: "LinkedIn"
+      icon: "fab fa-linkedin"
+      url: "https://www.linkedin.com/in/amao2/"
+    - label: "Google Scholar"
+      icon: "fas fa-graduation-cap"
+      url: "https://scholar.google.com/citations?user=9c2DEs0AAAAJ&hl=en&authuser=1"
 
 # Site Footer
 footer:

_pages/about.md

@@ -0,0 +1,49 @@
+---
+title: "About"
+permalink: /about/
+layout: single
+author_profile: true
+---
+
+## Professional Experience
+
+### DRW
+**Software Developer** | July 2022 - Present  
+Chicago, Illinois, United States · Hybrid
+
+#### Generative AI
+- Built AI/ML/NLP systems for language model research, evaluation, search, retrieval, and deployment
+- Managed infrastructure for scaling ML workloads (data, inference) to multiple nodes and GPUs
+- Implemented retrieval augmented generation (RAG) pipelines, vector store indexing, agents
+- Built distributed data pipelines (Spark/Ray, ETLs), debugging tools for production services
+- Decreased model fine-tune/inference time and memory by 20% with tensor parallelism
+- Technologies: Python, PyTorch, Tensorflow, Ray, DeepSpeed, LangChain, MLFlow, Numpy, Spark, Pandas, Flask, PostgreSQL, Kubernetes, Javascript, GRPC/protobuf, Kafka, CI/CD
+
+#### Automated Trading, Risk Analytics
+- Developed trading-critical systems for financial risk analytics, automated trading, price/size calculation
+- Managed microservices for distributed data processing (Kafka, Python GRPC APIs, ETLs, Kubernetes)
+- Worked on full product lifecycle from research (Jupyter notebooks) to productionizing (K8s), testing, and support
+- Developed tools for debugging/tracing system state, data flow, visualization, simulation, and scenario analysis
+- Implemented numerical/statistical models for option risk surface dynamics, PCA/matrix decomp, regressions
+- Technologies: Python, Pandas, Numpy/Scipy, Flask, Kubernetes, Pyarrow, GRPC, Redis, distributed systems
+
+### Meta
+**Software Engineer Intern** | May 2022 - July 2022  
+Menlo Park, California, United States · On-site
+
+- Worked on the Language Understanding and Question Answering (LUQA) team, under Reality Labs AI
+- Optimized neural language models (LMs) for long-form question answering (QA) and summarization tasks
+- Fine-tuned and benchmarked retriever/reader models (BERT, RoBERTa, DPR) on meeting/conversation datasets
+- Researched model quantization, distillation, pruning, dense retrieval, attention models
+- Developed web apps to collect and crowdsource datasets on evaluating model generated output, demo capabilities
+- Technologies: Python, React, PyTorch, BERT, RoBERTa, DPR
+
+### University of Maryland
+**Research Assistant** | June 2019 - May 2022  
+College Park, Maryland
+
+- Wrote and published papers in NLP conferences (EMNLP, EACL) on the topics of question answering, human-AI collaboration and topic models
+- Developed web app to accelerate coding (annotation) of technical documents, using active learning and NLP
+- Achieved theoretical speed up of 4x with comparable accuracy using topic models and text classification models
+- Applied computer vision techniques to multiple object detection, pose estimation and action recognition
+- Technologies: Python, PyTorch, NLP, Computer Vision, Web Development 

index.html

@@ -2,3 +2,23 @@
 layout: home
 author_profile: true
 ---
+
+# Welcome to My Website
+
+I'm Andrew Mao, a Machine Learning Engineer at DRW specializing in generative AI and distributed systems. With over three years of experience in industry and academia, I focus on building scalable machine learning infrastructure for training, testing, and serving language models.
+
+## Recent Work
+
+- Building AI/ML/NLP systems for language model research and deployment
+- Implementing retrieval augmented generation (RAG) pipelines and vector stores
+- Developing distributed data pipelines and debugging tools
+- Optimizing model performance through tensor parallelism and other techniques
+
+## Connect With Me
+
+- [LinkedIn](https://www.linkedin.com/in/amao2/)
+- [Google Scholar](https://scholar.google.com/citations?user=9c2DEs0AAAAJ&hl=en&authuser=1)
+
+## Latest Updates
+
+Check out my [About](/about/) page for more details about my experience and projects.