Skip to content
View darKKnight14110's full-sized avatar

Block or report darKKnight14110

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
darKKnight14110/README.md

Hi πŸ‘‹, I'm Varad Pendse

Welcome to my GitHub profile! I'm a second-year student at IIT Indore with a deep passion for Machine Learning and Data Science. I have worked on various projects from multiple domains of machine learning like LLMs, NLP, CV and even generative AI.


About Me

  • Current Education: B.Tech. at IIT Indore
  • Interests: Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Data Science, and Business Intelligence
  • Current Focus: Enhancing my expertise by building scalable ML systems and contributing to impactful projects.

Machine Learning Projects

  • Implemented Retrieval Augmented Generation using FAISS Similarity Search on Embeddings of scrapped dataset
  • Conducted RL-based ORPO finetuning on DeepSeek-AI-Coder LLM on Github API-scrapped CP dataset
  • Utilized LLM with RAG for code generation & explanation solving hard DSA questions & 1200-rated CP questions

– Built an AI-driven system for custom skins generation for Clash of Clans using Stable Diffusion and ControlNets – Implemented finetuning on CompVis-v1-4 model on custom dataset for 200 steps for precise style adaptation – Integrated the finetuned sd model with lllyasviel control-v11p-inpaint for accurate prompt to image generation β€’ Gesture Identification using EMG-data Jan. 2024 - Feb. 2024

– Employed the NinaPro DB5 dataset with 53 diverse gestures from MYO armbands,ensuring thorough preprocessing. – Used various signal processing techniques including rectification, filtering, and smoothing on raw EMG data – Engineered an 86% accurate attention-based model leveraging expansion, attention, and classification layers.


Skills and Tools

  • Programming: Python, C++, SQL
  • ML Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, Diffusers, JAX
  • Data Handling: Pandas, NumPy, OpenCV

Let's Connect

  • LinkedIn: Varad S. Pendse
  • GitHub: You're already here! πŸŽ‰ Feel free to explore my repositories.

Thank you for visiting! If you have ideas for collaboration or feedback, feel free to reach out.

Pinned Loading

  1. arnavjain2710/IITISoC24-ML-35 arnavjain2710/IITISoC24-ML-35 Public

    Jupyter Notebook 2

  2. Game-Character-Skin-Generation Game-Character-Skin-Generation Public

    Jupyter Notebook

  3. EMG_data EMG_data Public

    Forked from Pradeep-Kumar-Rebbavarapu/EMG_data

    Jupyter Notebook 1

  4. Recommender_System Recommender_System Public

    Jupyter Notebook

  5. Image-Classfication-CIFAR100 Image-Classfication-CIFAR100 Public

    Jupyter Notebook

  6. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Jupyter Notebook 1