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Harsh-Gupta9897/README.md

LinkedIn Medium GitHub Email

You can connect with me on LinkedIn, follow my Medium blog, check out my GitHub repositories, or drop me an email! ๐Ÿ˜Š๐Ÿ“ง

๐Ÿ“„ Resume

PDF GitHub

You can download my resume in PDF format or view the digital resume on my GitHub repository! ๐Ÿ“„๐Ÿ“Ž

About Me ๐Ÿ‘‹

Hey there! ๐Ÿš€ My name is Harsh Gupta, a 22-year-old student researcher based in Bangalore and aspiring Machine Learning Engineer and Applied Scientist from Bangalore, India. Currently, I'm pursuing my Masters in CSA (Computer Science and Automation) at the prestigious IISc (Indian Institute of Science) ๐Ÿ’ป.

I am deeply passionate about the fascinating world of Generative AI, and my main focus is on diffusion models and LLMs (Language Models). My research revolves around pushing the boundaries of Generative AI to solve complex problems like Person-Scene Image Synthesis using cutting-edge diffusion models. I find immense joy in exploring the frontiers of Machine Learning and pushing the limits of what's possible.

During my academic journey, I've completed various specialized courses, including DLCV (Deep Learning for Computer Vision), Probability, Linear Algebra, and optimization, Data Analytics Armed with this knowledge, I've gained hands-on experience with the latest Open Source LLMs and fine-tuned them using the powerful QLoRA . While I'm deeply engrossed in my passion for Generative AI, I also possess a strong skill set in backend development, particularly using Django and Rest APIs. This combination of Machine Learning expertise and software engineering prowess allows me to tackle complex challenges with a holistic approach.

If you're seeking a dynamic and motivated individual to join your team for MLE/Applied Scientist roles ๐Ÿ’ก or if you have exciting Generative AI projects to explore, don't hesitate to reach out to me at โœ‰๏ธ: [email protected]. Let's together create groundbreaking solutions and make a significant impact in the world of Machine Learning! ๐Ÿš€

Projects ๐Ÿ˜

You can find detailed descriptions of my projects in the Project.md file on my GitHub repository. Feel free to explore and learn more about the exciting projects I've worked on! ๐Ÿš€๐Ÿ”

ML Projects

Computer Vision NLP/LLM Data Analytics Traditional ML
VQVAE as Defense Against Adversarial Attacks RAG with Chain-of-thought Prompting in LLMs Community Detection (Spectral Clustering) Naive Bayes Implementation
Person Image Synthesis (Cloth Virtual Try ON) PrivaLLM & DataGenLLM (OpenSource LLM, QLoRa) Color Blindness (BWT Algorithm) Classification Module(Multiclass SVM)
Human Motion Diffusion Model (Based on Keypoints) PrivaGPT (AI Governance Model for LLMs) Covid19 Modelling based on CLT & LLN Regression and PCA
DCGAN with ADAIN and ViT Implementation from Scratch Text Based Classification (BERT-Based Encoder) Recommendation System CLustering(KMeans,Spectral Clustering)
Metrics Analysis (CLIP, SWAV,IS) based FIDs Sentiment Analysis(RNN/LSTM) & Word Embeddings Duckworth Lewis Method Implementation

SDE Projects

Title Date
Innogeeks (ERP + Student Management Portal) Nov 2020 - Mar 2021
JewelAR (Jewelry Virtual Try ON) Aug 2020 - Feb 2021
SaproIndia (Ecommerce Cum Service Platform) Oct 2019 - Dec 2019
STET (Document Verification Portal) Mar 2019 - Apr 2019

Experiences ๐Ÿ˜ƒ

Role Company/Organization Duration
Student Researcher VAL Lab IISc May 2023 - Present
Research Intern PrivaSapien Tech Pvt. Ltd. May 2023 โ€“ July 2023
Teaching Assistant Data Analytics IISc Aug 2023 - Present
Software Engineer ConsultAdd Inc. Jan 2022 โ€“ July 2022
Django Backend Intern Infoware Nov 2019 โ€“ March 2020
Freelance API Developer YellowFame Nov 2019 - Mar 2020

Education ๐Ÿš€:

Education Degree Field Duration CGPA
IISc MTech Computer Science and Automation Jul 2022 - Aug 2024 7.8 (Till 2nd Semester)
KIET Group BTech Computer Science July 2018 - July 2022 8.83

๐Ÿ’ป Skills

Programming

  • ๐Ÿ’  Django: Building web applications with ease and elegance.
  • โš™๏ธ Rest APIs (DRF): Crafting robust and efficient APIs for seamless communication.
  • ๐Ÿ’พ SQL (DBMS), Docker, AWS: Managing data and deploying applications with cloud magic.
  • ๐ŸŽจ JavaScript, HTML, CSS, Bootstrap: Crafting interactive and visually appealing front-end magic.
  • ๐Ÿ”ฅ Pytorch, Networkx, transformers, NLP, DL, diffusers: Exploring the realms of AI and turning data into intelligence.
  • ๐Ÿ”ฎ Generative AI: Unleashing the creativity of machines to create art, music, and more!

Miscellaneous

  • :octocat: Git: Mastering the art of version control and collaboration.
  • ๐Ÿ”ง VS Code: The trusty companion for coding adventures, customized to perfection.
  • ๐Ÿง Linux: Embracing the open-source world with the power of penguins.

๐Ÿ“– Courses Taken

Graduate

  • ๐Ÿ“ท Deep Learning for Computer Vision (IISc)
  • ๐Ÿ“Š Data Analytics (IISc)
  • โ™พ๏ธ Linear Algebra & Optimization (IISc)
  • ๐Ÿง  Deep Learning (IITM)
  • ๐ŸŽฒ Probability (IISc)
  • ๐Ÿš€ Machine Learning (IISc)
  • โœ๏ธ Deep Learning for NLP** (IISc)

๐Ÿ“ง Contact

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  1. DLCV_Assignment1 DLCV_Assignment1 Public

    Neural Network and CNN Implementation from scratch (using Numpy Only)

    Jupyter Notebook

  2. CNNProjects CNNProjects Public

    Jupyter Notebook

  3. Inception_CLIP_SWAV_based_FID_Analysis Inception_CLIP_SWAV_based_FID_Analysis Public

    Inception ,CLIP, SWAV based_FID_Analysis for CelebA and CIFAR dataset

    Jupyter Notebook 2