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config.yaml
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baseURL: "https://www.sarthak247.github.io"
languageCode: "en-us"
title: "Sarthak Thakur"
theme: hugo-profile
ignoreLogs: ['warning-goldmark-raw-html']
outputs:
home:
- "HTML"
- "RSS"
- "JSON"
page:
- "HTML"
- "RSS"
# Paginate: 3
pagination:
disableAliases: false
pagerSize: 10
path: page
enableRobotsTXT: true
# disqusShortname: your-disqus-shortname
# googleAnalytics: G-MEASUREMENT_ID
markup:
goldmark:
extensions:
passthrough:
delimiters:
block:
- - \[
- \]
- - $$
- $$
inline:
- - \(
- \)
enable: true
params:
math: true
Menus:
main:
- identifier: blog
name: Blog
title: Blog posts
url: /blogs
weight: 1
# - identifier: gallery
# name: Gallery
# title: Blog posts
# url: /gallery
# weight: 2
#Dropdown menu
# - identifier: dropdown
# title: Example dropdown menu
# name: Dropdown
# weight: 3
# - identifier: dropdown1
# title: example dropdown 1
# name: example 1
# url: /#
# parent: dropdown
# weight: 1
# - identifier: dropdown2
# title: example dropdown 2
# name: example 2
# url: /#
# parent: dropdown
# weight: 2
params:
title: "Sarthak Thakur"
description: Portfolio Website
# staticPath: "" # The path to serve the static files from
favicon: "./favicon.png"
# Whether to serve bootstrap css and js files from CDN or not. Can be set to true, "css" or "js" to choose between
# serving both, only the css, or only the js files through the CDN. Any other value will make so that CDN is not used.
# Note the lack of "" in true, it should be of boolean type.
useBootstrapCDN: false
# If you want to load dynamically responsive images from Cloudinary
# This requires your images to be uploaded + hosted on Cloudinary
# Uncomment and change YOUR_CLOUD_NAME to the Cloud Name in your Cloudinary console
# cloudinary_cloud_name: "YOUR_CLOUD_NAME"
# Whether to add mathjax support on all pages. Alternatively, you can opt-in per page by adding `mathjax: true` in the frontmatter.
mathjax: true
# Whether the fade animations on the home page will be enabled
animate: true
theme:
# disableThemeToggle: true
# defaultTheme: "light" # dark
font:
fontSize: 1rem # default: 1rem
fontWeight: 400 # default: 400
lineHeight: 1.5 # default: 1.5
textAlign: left # default: left
# color preference
# When using hex codes for colors, quotations must be used along with the # sign
# color:
# textColor: "#343a40"
# secondaryTextColor: "#6c757d"
# backgroundColor: "#eaedf0"
# secondaryBackgroundColor: "#64ffda1a"
# primaryColor: "#007bff"
# secondaryColor: "#f8f9fa"
# darkmode:
# textColor: "#e4e6eb"
# secondaryTextColor: "#b0b3b8"
# backgroundColor: "#18191a"
# secondaryBackgroundColor: "#212529"
# primaryColor: "#ffffff"
# secondaryColor: "#212529"
# If you want to customize the menu, you can change it here
navbar:
align: ms-auto # Left: ms-auto | center: mx-auto | right: me-auto | Default: ms-auto
# brandLogo: "/logo.png" # Logo for the brand | default is the favicon variable
# showBrandLogo: false # Show brand logo in nav bar | default is true
brandName: "Sarthak Thakur" # Brand name for the brand | default is the title variable
disableSearch: false
# searchPlaceholder: "Search"
stickyNavBar:
enable : true
showOnScrollUp : true
enableSeparator: false
menus:
disableAbout: false
disableExperience: false
disableEducation: false
disableProjects: false
disableAchievements: true
disableContact: false
# Hero
hero:
enable: true
intro: "Hi, my name is"
title: "Sarthak."
subtitle: "I transform ideas into AI-driven realities."
content: "A passionate Machine Learning Engineer. I specialize in cutting-edge AI technologies like LLMs and Stable Diffusion, creating innovative solutions that redefine possibilities."
image: /images/hero.svg
bottomImage:
enable: true
# roundImage: true # Make hero image circular | default false
button:
enable: true
name: "Resume"
url: /files/resume.pdf #Fixit
download: true
newPage: false
socialLinks:
fontAwesomeIcons:
- icon: fab fa-github
url: https://www.github.com/sarthak247
- icon: fab fa-linkedin
url: https://www.linkedin.com/in/sarthak247/
- icon: fab fa-x-twitter
url: https://x.com/sarthak2407
- icon: fas fa-graduation-cap
url: https://scholar.google.com/citations?user=i3h23AkAAAAJ&hl=en
# customIcons:
# - icon: /fav.png
# url: "https://example.com"
# About
about:
enable: true
title: "About Me"
#Fixit
image: "/images/me.png"
content:
I am a dedicated and driven individual who recently graduated with a Masters of Data Science degree from University of Adelaide, specializing in cutting-edge GenAI technologies such as GANs, Stable Diffusion and LLMs. With a strong academic background and practical experience in developing tools for early diagnosis, as well as mentoring fellow students, I am passionate about leveraging AI to solve real-world challenges and drive innovation. I am open to work.
I am currently working on a project that will be used to build a personal assistant but which combines Stable Diffusion along with LLMs.
skills:
enable: true
title: "Here are a few technologies I've been working with recently:"
items:
- "Diffusion Models"
- "Generative Adversarial Networks"
- "Large Language Models"
- "HuggingFace"
- "Docker"
- "PyTorch"
# Experience
experience:
enable: true
# title: "Custom Name"
items:
- job: "Machine Learning Engineer"
company: "Rising Sun Pictures"
companyUrl: "https://www.rsp.com.au/"
date: "November 2024 - Present"
featuredLink:
enable: false
name: "Project Report"
url: /files/reports/crest.pdf
content: |
- Researched and optimized diffusion models for high-quality image and video synthesis.
- Accelerated ML pipelines, reducing generation time via model distillation, quantization, and caching.
- Researched on enhancing text-to-image and video generation using latent space optimization and diffusion techniques.
- Fine-tuned deep learning models for efficient deployment in VFX production.
- Collaborated with cross-functional teams to integrate AI-driven tools into existing workflows.
- job: "Research Assistant"
company: "CREST"
companyUrl: "https://crest-centre.net/"
date: "Sept 2023 - May 2024"
featuredLink:
enable: true
name: "Project Report"
url: /files/reports/crest.pdf
content: |
- Conducted comprehensive literature reviews to remain updated on the latest advancements in LLMs, automated program repair, and associated optimization techniques.
- Fine-tuned Large Language Models (LLMs) such as Codellama, PLBART, Refact, CodeGen, and CodeT5 for Automated Program Repair (APR) tasks, employing techniques including PEFT (Parameter Efficient Fine-Tuning), LoRA (Low-Rank Adaptation), and int-8 optimization.
- Implemented and optimized LLMs using state-of-the-art methodologies, ensuring compatibility with resource-constrained environments through various optimization methods like Gradient Checkpointing, int-8 optimization, etc.
- Utilized SLURM to manage and distribute computing tasks across multiple GPUs, optimizing model training and experimentation efficiency.
- Played a key role in securing additional funding for the project, leveraging my expertise and contributions to demonstrate its potential and value to stakeholders.
# content: "Researched and optimized LLMs for automated program repair at CREST, employing advanced methodologies for efficient model implementation."
- job: "Machine Learning Intern"
company: "AIML"
companyUrl: "https://www.adelaide.edu.au/aiml/"
date: "Sept 2022 - Dec 2022"
featuredLink:
enable: true
name: "Project Report"
url: /files/reports/aiml.pdf
info:
enable: true
content: I worked as an ML intern for around 4 months at Australian Institute of Machine Learning (AIML).
content: |
- Collaborated closely under the guidance of supervisors to develop expertise in Real-Time Neural Style Transfer on Videos.
- Successfully navigated significant challenges, including conducting extensive literature reviews, implementing state-of-the-art methods, and enhancing them to ensure temporal consistency across consecutive frames in live camera feed videos during style transfer.
- Acquired comprehensive knowledge of research areas such as Deep Learning Optimization Techniques, including Knowledge Distillation and Quantization. Utilized libraries such as TensorRT and Pytorch-JIT to accelerate inference time while performing style transfer.
- Investigated the impact of Automatic Mixed Precision on the training and inference speeds and GPU utilization of PyTorch models for different class of GPUs
# content: Focused on real-time neural style transfer on videos, optimizing temporal consistency and accelerating inference using Deep Learning techniques and frameworks like TensorRT and PyTorch-JIT.
- job: "Django and Machine Learning Developer"
company: "Algods"
companyUrl: "#"
date: "June 2021 - Sept 2021"
info:
enable: false
featuredLink:
enable: false
url: "https://example.com"
content: |
- Collaborated closely within an 8-member team to develop a Customer Relationship Management (CRM) system for a logistics enterprise.
- Engaged in a variety of daily responsibilities, such as designing and developing the database, managing the migration of changes, creating and testing REST APIs, and facilitating the handover of these components to the frontend team.
- Additionally, contributed to user clustering efforts and the prediction of purchase order patterns among users, leveraging existing data provided by the logistics company.
- Played a role in designing a forecasting algorithm to enhance understanding of seasonal logistics bookings by analyzing historical data furnished by the company.
- job: "Machine Learning Researcher"
company: "DIC"
companyUrl: "https://dicpu.in/"
date: "June 2019 - June 2021"
featuredLink:
enable: false
url: "https://example.com"
content: |
- Engaged in daily activities that encompassed researching established Computer Vision architectures and exploring avenues for their enhancement.
- Conducted research focused on image classification and segmentation tasks within the medical domain, specifically addressing areas such as Brain Tumor Segmentation and Glaucoma Classification.
- Furthermore, I developed a test GUI using PyQt5 for our glaucoma classification task, enabling input image analysis and delivering conclusive judgments, along with heat maps showcasing the diagnosis.
- Assumed a mentorship role during summer and winter internship periods, providing guidance and support to junior interns within the organization.
- Undertook a notable final project involving the utilization of Generative Adversarial Networks for facial inpainting, aimed at reconstructing partially damaged faces.
# Education
education:
enable: true
# title: "Custom Name"
index: false
items:
- title: "Master of Data Science"
school:
name: "University of Adelaide, Adelaide"
url: "https://www.adelaide.edu.au/"
date: "May 2022 - May 2024"
GPA: "6.06/7"
content: |-
While pursuing my Masters at the UoA, my primary focus was to further my understanding and expertise in GenAI like Diffusion Models and NLP for generative applications along with managing my coursework. I was also an academic tutor for the following courses:
- [COMP SCI 1106: Introduction to Software Engineering UG](https://www.adelaide.edu.au/course-outlines/108366/1/sem-2/)
I also actively interned at:
- [Australian Institute for Machine Learning (AIML)](https://www.adelaide.edu.au/aiml/)
- [Centre for Research on Engineering Software Technologies (CREST)](https://crest-centre.net/)
Along with that I also reviewed papers for the following journals:
- [Scientific Reports (Nature)](https://www.nature.com/srep/)
featuredLink:
enable: true
name: "Academic Transcript"
url: /files/transcript.pdf
- title: "Bachelor of Engineering in Computer Science"
school:
name: "University Institute of Engineering & Technology, Panjab University"
url: "https://uiet.puchd.ac.in/"
date: "June 2017 - June 2021"
GPA: "7.69/10"
content: |-
In conjunction with my academic coursework, I actively engaged in projects involving CNNs and GANs. I contributed to the development of tools aimed at facilitating early diagnosis, while also providing mentorship to fellow students in their respective projects.
I also published a few papers during my time at UIET. Some of these are:
- [GC-NET for classification of glaucoma in the retinal fundus image](https://d1wqtxts1xzle7.cloudfront.net/105152485/s00138-020-01091-420230820-1-szq07y-libre.pdf?1692550082=&response-content-disposition=inline%3B+filename%3DGC_NET_for_classification_of_glaucoma_in.pdf&Expires=1719366983&Signature=DaChpq9JCK2HjAVfxX7a2XNjCxNw4QiWa0F5yETgFst8Vgf9~TRtUWOg3Vnlg-qc-L8rCUvhFm9zfaR58x5w3K6fAqERAa~ghfLEKPihf5~3ukidXCHZXhNTcjgMxuY0Yzk-LDHXfo5INnGUmQH90TiSEnt1CKVHo-IQJpCWO8s~v-wKDKvctKoRbblWcAj1pTLoxlVpZCBiWwTCgX132NfNwcXhnYWZgZAN26f7~wvhFXVUpV1HfKvewwiwil~E5U3aWq9t5vP91VTHiVhYqdoC5zDumEvPL6EZ~hS6bey1nesptXjqcG1K0UB4oAwGDuoHRSVljj5MFEGwktOEvQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA)
- [Fused framework for glaucoma diagnosis using Optical Coherence Tomography (OCT) images](https://www.sciencedirect.com/science/article/abs/pii/S0957417422005887)
The rest can be found on my Google Scholar page.
featuredLink:
enable: true
name: "Academic Transcript"
url: "https://example.com" #Fixit
# Achievements
achievements:
enable: false
# title: "Custom Name"
items:
- title: Google kickstart runner
content: I solved all problems with optimal solution.
url: https://example.com
image: /images/achievment.jpg
- title: Facebook Hackathon Winner
content: Developed a product using Artificial Intelligence.
image: /images/achievment.jpg
- title: Hugo Profile
content: Developed a theme and getting 1K+ downloads per month.
url: "https://github.com/gurusabarish/hugo-profile"
image: /images/achievment.jpg
- title: Microsoft Imagine Runner
content: We are developed a product which can help others.
- title: Google Summer of Code
content: Contributed to a open source project.
url: https://example.com
# projects
projects:
enable: true
# title: "Custom Name"
items:
- title: Attention Is All You Need
content: Paper implementation of Attention Is All You Need inspired by Umar Jamil. The model currently supports English to Italian and English to French language translations.
image: /projects/attention.png
# featured:
# name: Demo # Fixit
# link: https://hugo-profile.netlify.app
badges:
- "LLM"
- "Code Follow Along"
- "Language Translation"
- "Transformers"
links:
- icon: fab fa-github
url: https://github.com/sarthak247/Attention-Is-All-You-Need
- icon: fas fa-blog
url: /blogs/attention-is-all-you-need
- title: "PaliGemma: A versatile 3B VLM for transfer"
content: Paper implementation of Paligemma inspired by Umar Jamil. Currently a work in progress
image: /projects/paligemma.png
# featured:
# name: Demo # Fixit
# link: https://hugo-profile.netlify.app
badges:
- "VLM"
- "Code Follow Along"
- "Vision Model"
- "Transformers"
links:
- icon: fab fa-github
url: https://github.com/sarthak247/PaliGemma
- title: 🐱 NekoPDF 📖 - Document Interaction with LLM
content: |-
A web app to seamlessly interact with your documents using a Large Language Model over the Langchain framework. Currently support OpenAI and a single PDF file at a time but an option for other LLM backends and multiple PDF files will be added soon.
image: /projects/nekopdf.png
featured:
# name: Demo
# link: https://django-converter.herokuapp.com
badges:
- "Streamlit"
- "OpenAI"
- "LLM"
- "Langchain"
links:
- icon: fab fa-github
url: https://github.com/sarthak247/NekoPDF
- title: Style Transfer
content: |-
Real Time Style Tranfer on videos with Temporal consistency.
image: /projects/style.png
featured:
# name: Demo
# link: https://django-converter.herokuapp.com
badges:
- "Style Tranfer"
- "Convolutional Neural Network"
links:
- icon: fab fa-github
url: https://github.com/sarthak247/AIMLProject
#Contact
contact:
enable: true
# title: "Custom Name"
content: My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!
btnName: Mail me
btnLink: mailto:[email protected]
# formspree:
# enable: true # `contact.email` value will be ignored
# formId: abcdefgh # Take it from your form's endpoint, like 'https://formspree.io/f/abcdefgh'
# emailCaption: "Enter your email address"
# messageCaption: "Enter your message here"
# messageRows: 5
footer:
recentPosts:
path: "blogs"
count: 3
title: Recent Posts
enable: true
disableFeaturedImage: false
socialNetworks:
github: https://github.com/sarthak247
linkedin: https://linkedin.com/in/sarthak247/
twitter: https://x.com/sarthak2407
# instagram: https://instagram.com
# List pages like blogs and posts
listPages:
disableFeaturedImage: false
# Single pages like blog and post
singlePages:
socialShare: true
readTime:
enable: true
content: "min read"
scrollprogress:
enable: true
tags:
openInNewTab: true
# For translations
terms:
read: "Read"
toc: "Table Of Contents"
copyright: "All rights reserved"
pageNotFound: "Page not found"
emailText: "Check out this site"
datesFormat:
article: "Jan 2, 2006"
articleList: "Jan 2, 2006"
articleRecent: "Jan 2, 2006"
#customScripts: -| # You can add custom scripts which will be added before </body> tag
# <script type="text/javascript"><!-- any script here --></script>