v1 modifications

_data/navigation.yml

@@ -21,11 +21,11 @@ main:
   # - title: "Code"
   #   url: /portfolio/
 
-  - title: "Posts"
-    url: /year-archive/
+  # - title: "Posts"
+  #   url: /year-archive/
 
   # - title: "CV"
   #   url: /cv/
 
   - title: "Resume"
-    url: /markdown/
+    url: /files/Resume_2024.pdf

_pages/about.md

@@ -1,26 +1,33 @@
 ---
 permalink: /
-title: "About me"
+title: "Sandeep Polisetty"
 author_profile: true
 redirect_from: 
   - /about/
   - /about.html
 ---
 
-I am a final year PhD student in the College UMass, Amherst co-advised by Prof. Marco Serafini and Prof. Hui Guan.
-I am currently on the Intern Job Market for Spring 2025 and full time for May 2025.
-I work on systems optimizations for machine learning and have experience in areas such as GNN. 
-I worked in compilers for machine learning space as well. 
-Please contact me for more interesting opportunities. 
+I am a final year PhD student in the College of Information and Computer Sciences at the University of Massachusetts Amherst, advised by [Prof. Hui Guan](https://guanh01.github.io/) and [Prof. Marco Serafini](https://marcoserafini.github.io/).  
+During my PhD, I worked on building efficient systems for *Scalable multi-GPU Graph Neural Network training*. I also explored *efficient graph analytics frameworks* advised by [Prof. Marco Serafini](https://marcoserafini.github.io/).  
+During my masters, I worked on *scalable distributed transactions* advised by [Prof. Arun Venkataramani](https://marcoserafini.github.io/). 
+Prior to coming to USA, I pursued my undergraduate degree at the Indian Institute of Technology, Kharagpur.
+
+Alongside research, I also worked on large industrial software during my internships. I recently finished an internship with Intel as an AI Frameworks Engineer working on a *pytorch extension to support intel hardware*. Previously at [Reservoir Labs](https://www.hipeac.net/network/institutions/7229/reservoir-labs/) (acquired by Qualcomm), I was a Research Engineer working on the popular deep learning *TVM compiler*. Before that, I was a Software Engineer Intern with the AWS distributed systems team.
+
+I am interested in building efficient frameworks for machine learning utilizing both hardware and algorithmic characteristics.
+I am currently seeking internship opportunities for  *Spring 2025* and full time for 2025 Fall.
+Please contact me for further details. 
+
 
 News
 -----
 
 * [Aug 2024] I wrapped my internship at Intel in the pytorch team 
-* [May 2024] Presented a talk at NEDB based on my current work GSplit
-* [Aug 2023] I participated in JSALT and worked on scaling GNN 
-* [Aug 2023] Graphmini gets published 
-* [Aug 2022] Attended MLSys 
-* [Aug 2021] My advisors recieved NSF grant based on my preliminary results scaling GNN
-* [Aug 2020] Nextdoor gets published in Eurosys
-* [Aug 2020] Interned at Reservoir Labs 
+* [May 2024] Presented a talk at [NEDB](https://bu-disc.github.io/nedbday/2024/) based on my current work [GSplit](https://arxiv.org/abs/2303.13775)
+* [Aug 2023] Participated in [JSALT](https://jsalt2023.univ-lemans.fr/en/better-together-text-context.html) to build large scale recommendation systems using Graph Neural Networks
+* [Aug 2023] Our paper ["GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs"](https://arxiv.org/abs/2403.01050) gets accepted to PACT'2023 
+* [Aug 2022] Attended MLSys at Santa Clara
+* [Aug 2021] Our Lab recieved [NSF grant](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2224054&HistoricalAwards=false) based on my preliminary results for scalable graph neural network training
+* [Apr 2021] Our paper ["Accelerating Graph Sampling for Graph Machine Learning using GPUs"](https://arxiv.org/abs/2009.06693) gets published in Eurosys'2021
+* [Aug 2021] Interned at [Reservoir Labs](https://www.hipeac.net/network/institutions/7229/reservoir-labs/) working on deep learning compilation under [Benoit Meister](https://scholar.google.com/citations?user=mZ0DysgAAAAJ&hl=en)
+* [Aug 2020] finished my internship at amazon working on distributed systems

_publications/2020-01-21-infosurgeon.md

@@ -0,0 +1,15 @@
+---
+title: "Infosurgeon: Cross-media fine-grained information consistency checking for fake news detection"
+authors: "Yi Fung, Christopher Thomas, Revanth Gangi Reddy, <b>Sandeep Polisetty</b>, Heng Ji, Shih-Fu Chang, Kathleen McKeown, Mohit Bansal, Avirup Sil"
+collection: publications
+category: conferences
+permalink: /publication/graphmini
+# excerpt: 'This paper is about the number 1. The number 2 is left for future work.'
+date: 2023-01-21
+venue: 'International Conference on Parallel Architectures and Compilation Techniques (PACT)'
+# slidesurl: 'http://academicpages.github.io/files/slides1.pdf'
+paperurl: 'https://arxiv.org/abs/2403.01050'
+# citation: 'Your Name, You. (2009). &quot;Paper Title Number 1.&quot; <i>Journal 1</i>. 1(1).'
+---
+<!-- 
+The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above "citation" field will automatically be included below this section in a smaller font. -->

_publications/2021-04-21-nextdoor.md

@@ -0,0 +1,16 @@
+---
+title: "Accelerating Graph Sampling for Graph Machine Learning using GPUs"
+authors: "Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini"
+collection: publications
+category: conferences
+# permalink: /publication/graphmini
+# excerpt: 'This paper is about the number 1. The number 2 is left for future work.'
+date: 2021-04-21
+venue: 'Eurosys'
+# slidesurl: 'http://academicpages.github.io/files/slides1.pdf'
+paperurl: 'https://arxiv.org/abs/2009.06693"
+'
+# citation: 'Your Name, You. (2009). &quot;Paper Title Number 1.&quot; <i>Journal 1</i>. 1(1).'
+---
+<!-- 
+The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above "citation" field will automatically be included below this section in a smaller font. -->

_publications/2024-06-21-gsplit.md

@@ -0,0 +1,15 @@
+---
+title: "GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism"
+authors: "<b>Sandeep Polisetty<b>, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini"
+collection: publications
+category: conferences
+permalink: /publication/graphmini
+# excerpt: 'This paper is about the number 1. The number 2 is left for future work.'
+date: 2024-06-21
+venue: 'Under submission'
+# slidesurl: 'http://academicpages.github.io/files/slides1.pdf'
+paperurl: 'https://arxiv.org/abs/2303.13775'
+# citation: 'Your Name, You. (2009). &quot;Paper Title Number 1.&quot; <i>Journal 1</i>. 1(1).'
+---
+<!-- 
+The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above "citation" field will automatically be included below this section in a smaller font. -->