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ved1beta/README.md

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Topics I Covered

  • Triton: making custum triton kernals for better optimizations , working on some big kernal projects
  • Cuda: cuda archirecture for better understanding of kernals and triton
  • Deep Learning: comp vision , NLP ect : )

Technical Skills ๐Ÿ› ๏ธ

  • Languages: Python, C , javascript
  • Frameworks & Libraries: Fast ai , Pytorch , Pandas , Matplotlib , triton
  • Tools & Platforms: GitHub, Docker, , Vercel, Neovim , Vscode , JupyterNoterbook , Aws
  • Machine Learning Specialist: Proficient in statistical analysis, predictive modeling (Regression, Decision Trees, Random Forest), and advanced algorithms (CatBoost, SGD) with strong focus on optimization and accuracy.

Key Projects ๐Ÿ“š

  • WED BOT: A bot who mimics my personality and talks like me (fun fact: It has 2 personalities). None is like the real me

  • Pdf_summariser: Innovative RAG web app for PDF analysis using machine learning. Enables intelligent document summarization and information retrieval through advanced embedding and tokenization techniques. Transforms PDF content into actionable insights with AI-powered processing.

  • LLM tokenizer: Bulding a tokenizer for llm from scratch :)

  • Loan approval predictor: Utilized a huge dataset of loan defaults and performed data transformation and model training. Tried different methods to get 95%+ accuracy and deployed with AWS and implemented CI/CD pipelines

  • Image classification Model: Trained a neural network from scratch in pure Python (no libraries) and achieved 80%+ accuracy on the MNIST dataset

  • v0 clone: made backend of v0 that for given prompt gives back code for website it writes in react and node mainly but you can choose any framework please check out ,

  • Research-copilot: working on a chat bot that will help in research and provide relavent links citations and summarization of given paper made with RAG and llama models used vector DB storage nad a=Advanced Rag models

  • Msx_gen: Bot that takes in a video extracts its mood and vibe and generated music based on the video just a curious project learned about music theory and vidoe processing from OpenCV and deploying on AWS Transformer: writing transformer from scratch : )

Working on

Many in deployment many failed T_T"

Leadership & Advocacy ๐ŸŒŸ

  • FreecodeCamp: Wrorked as Teaching Assistance Utilized advanced teaching methods to facilitate hands-on coding projects, resulting in a 30% increase in student engagement and participation levels.

Connect with Me ๐Ÿ“ฌ

Iโ€™m looking forward to collaborating on projects that are at the intersection of technology and social good. Letโ€™s connect! ๐ŸŒ

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  1. LLM_chatGPT Public

    Trained a GPT model from scratch on shakespeare's plays just generates random Play scripts it will need fit it and some post processing to deploy

    Python 2

  2. token Public

    wrote tokenizer used in Gpt 2 from scratch

    Jupyter Notebook 2

  3. research_copilot Public

    Research Summarizer: A RAG-based model that simplifies complex topics into clear explanations while providing accurate citations for reference.

    Python 1

  4. Paligemma Public

    vision language model

    Python 2

  5. 100Days Public

    Forked from 1y33/100Days

    Cuda 1

  6. Cuda_writer Public

    Distributed training

    Jupyter Notebook 1

658 contributions in the last year

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Activity overview

Contributed to ved1beta/RAG_keyee, ved1beta/fast.ai, ved1beta/LOAN_model and 49 other repositories
Loading A graph representing ved1beta's contributions from March 17, 2024 to March 21, 2025. The contributions are 98% commits, 2% pull requests, 0% code review, 0% issues.   Code review   Issues 2% Pull requests 98% Commits

Contribution activity

March 2025

Created 2 repositories
Opened 2 pull requests in 2 repositories
6 contributions in private repositories Mar 6 โ€“ Mar 21
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