Archive Layout with Content

A variety of common markup showing how the theme styles them.

Header one

Header two

Header three

Header four

Header five
Header six

Blockquotes

Single line blockquote:

Quotes are cool.

Tables

EntryItem 
John Doe2016Description of the item in the list
Jane Doe2019Description of the item in the list
Doe Doe2022Description of the item in the list
Header1Header2Header3
cell1cell2cell3
cell4cell5cell6
cell1cell2cell3
cell4cell5cell6
Foot1Foot2Foot3

Definition Lists

Definition List Title
Definition list division.
Startup
A startup company or startup is a company or temporary organization designed to search for a repeatable and scalable business model.
#dowork
Coined by Rob Dyrdek and his personal body guard Christopher “Big Black” Boykins, “Do Work” works as a self motivator, to motivating your friends.
Do It Live
I’ll let Bill O’Reilly explain this one.

Unordered Lists (Nested)

Ordered List (Nested)

  1. List item one
    1. List item one
      1. List item one
      2. List item two
      3. List item three
      4. List item four
    2. List item two
    3. List item three
    4. List item four
  2. List item two
  3. List item three
  4. List item four

Buttons

Make any link standout more when applying the .btn class.

Notices

Watch out! You can also add notices by appending {: .notice} to a paragraph.

HTML Tags

Address Tag

1 Infinite Loop
Cupertino, CA 95014
United States

This is an example of a link.

Abbreviation Tag

The abbreviation CSS stands for “Cascading Style Sheets”.

Cite Tag

“Code is poetry.” —Automattic

Code Tag

You will learn later on in these tests that word-wrap: break-word; will be your best friend.

Strike Tag

This tag will let you strikeout text.

Emphasize Tag

The emphasize tag should italicize text.

Insert Tag

This tag should denote inserted text.

Keyboard Tag

This scarcely known tag emulates keyboard text, which is usually styled like the <code> tag.

Preformatted Tag

This tag styles large blocks of code.

.post-title {
  margin: 0 0 5px;
  font-weight: bold;
  font-size: 38px;
  line-height: 1.2;
  and here's a line of some really, really, really, really long text, just to see how the PRE tag handles it and to find out how it overflows;
}

Quote Tag

Developers, developers, developers… –Steve Ballmer

Strong Tag

This tag shows bold text.

Subscript Tag

Getting our science styling on with H2O, which should push the “2” down.

Superscript Tag

Still sticking with science and Isaac Newton’s E = MC2, which should lift the 2 up.

Variable Tag

This allows you to denote variables.

About Me

I am a second-year Ph.D. Student in the Department of Electrical and Computer Engineering specializing in Machine Learning and Data Science at the University of California San Diego. I graduated from UCSD with a Master’s in Electrical and Computer Engineering, specializing in Intelligent Systems, Robotics, and Control, in Spring 2023. I am a part of the Boolean Lab, and my advisors are Dr. Debashis Sahoo (advisor) and Dr. Bill Lin (co-advisor). I am also a Graduate Student Researcher at Lawrence Berkeley National Laboratory, National Energy Research Scientific Computing Center, working under Kevin Gott and Hannah Ross.

I have over two years of professional experience as a Software Engineer specializing in research and development. During my time at companies like Accenture Research and Teradata US (Technology Innovation Office and Optimizer Development Team), I worked on proof-of-concepts and contributed to product development. I designed, built, and configured software applications to align with business processes. My responsibilities included code development and creating software plugins and features. Additionally, I analyzed millions of data points to build machine learning models, pipelines, and operations.

Research Interests: Distributed Machine Learning, Generative-AI, Vision-AI, DNN/LLM Optimization, Software & Systems, AI/ML Systems, Bioinformatics

I develop novel optimization techniques for deep neural networks (DNNs) and transformer-based models, focusing on efficient model architectures and scalable learning frameworks. My work involves designing quantization, pruning, and fine-tuning strategies to enhance the efficiency and performance of vision and language models. Additionally, I explore distributed learning frameworks to address challenges in decentralized and dynamic data environments. My research integrates software and systems design and leverages data science methodologies to build scalable AI solutions. Additionally, it facilitates efficient training, fine-tuning, and deployment of models in real-world applications spanning bioinformatics, computer vision, and natural language processing.

I’m a member of the Boolean Lab and a student researcher at the National Energy Research Scientific Computing Center Research.

Boolean Lab NERSC

Personal Life:

🏠 Hometown: Rourkela, Odisha, India

🙋 Activities: San Diego Cricket League Player, Acting, Gaming, Youtube/Twitch Streaming

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