Skip to content
View Brahmansh29's full-sized avatar

Organizations

@teamog1

Block or report Brahmansh29

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.

Maximum 250 characters. Please donโ€™t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
Brahmansh29/README.md

Hi, I'm Brahmansh Nirendra Dwivedi ๐Ÿ‘‹

๐ŸŽ“ B.Tech CSE (AI & ML) @ VIT Chennai
๐Ÿ“Š CGPA: 9.07 / 10
๐Ÿง  AI Engineer | ML Research Enthusiast | Systems Builder
๐Ÿš€ Building real-world AI systems that scale


๐Ÿ‘จโ€๐Ÿ’ป About Me

I am an AI & Machine Learning undergraduate passionate about designing intelligent systems that solve real-world problems. My work spans deep learning, time-series forecasting, computer vision, and signal processing.

I focus on:

  • Architecting end-to-end ML pipelines
  • Deploying hybrid deep learning models
  • Working with real datasets at scale
  • Bridging AI with production-ready systems

๐Ÿ›  Technical Stack

๐Ÿ’ป Programming

Python C C++ Java Kotlin JavaScript

๐ŸŒ Web & Backend

React.js Node.js Django

๐Ÿค– AI / Machine Learning

TensorFlow Keras PyTorch Scikit-Learn
OpenCV YOLO MediaPipe
LSTM GRU Transformers CNN

๐Ÿ—„ Databases & Cloud

MySQL MongoDB AWS

๐ŸŽฎ 3D / AR-VR / Multimedia

Blender Autodesk Maya Unreal Engine
SketchUp Photoshop


๐Ÿ“Œ Featured Projects

๐Ÿง  Autism Detection using CNNs

  • Built a 5-layer CNN for autism spectrum detection via facial landmark analysis.
  • Trained on 3,014 images from the ASD dataset.
  • Implemented preprocessing & augmentation pipelines for robustness.
  • Stack: TensorFlow, Keras, OpenCV

๐Ÿ“ˆ Stock Market Prediction using Hybrid Transformer Models

  • Engineered hybrid LSTM + GRU + Transformer forecasting pipeline.
  • Processed 2,500+ OHLCV daily records per stock via Alpha Vantage API.
  • Built real-time prediction system with dynamic visualization.
  • Outperformed traditional baseline models.
  • Stack: PyTorch, Transformers, Python

๐Ÿง  EEG-Based Sleep Stage Classification

  • Developed CNN + XGBoost hybrid classifier for EEG signals.
  • Preprocessed Sleep-EDF dataset with filtering & feature extraction.
  • Visualized predicted vs actual sleep patterns for evaluation.
  • Stack: Python, CNN, XGBoost, Matplotlib

๐Ÿ† Leadership

Vice President โ€“ AR/VR Club, VIT Chennai

  • Led Blender & Unreal Engine projects.
  • Conducted VR/AR workshops and technical sessions.
  • Organized seminars on VR, HoloLens & 3D modeling.

๐Ÿ“œ Certifications

  • Stanford University & DeepLearning.AI
    Supervised Machine Learning: Regression and Classification

๐Ÿ“Š GitHub Focus Areas

  • Deep Learning Architectures
  • Time-Series Forecasting
  • Computer Vision Systems
  • Hybrid ML Pipelines
  • AI for Healthcare & Finance
  • Research-oriented implementations

๐Ÿ“ซ Connect With Me

๐Ÿ“ง brahmansh29@gmail.com
๐Ÿ”— LinkedIn: https://linkedin.com/in/brahmansh29
๐Ÿ’ป GitHub: https://github.com/Brahmansh29


โ€œBuild systems that think. Deploy solutions that scale.โ€

Popular repositories Loading

  1. mini-linkedin mini-linkedin Public

    JavaScript

  2. minimal_codesage minimal_codesage Public

    Python

  3. Flight-Radar-Simulator Flight-Radar-Simulator Public

  4. Brahmansh29 Brahmansh29 Public

  5. EEG-Based_Sleep-Stage-Classification EEG-Based_Sleep-Stage-Classification Public

    Jupyter Notebook