๐ B.Tech CSE (AI & ML) @ VIT Chennai
๐ CGPA: 9.07 / 10
๐ง AI Engineer | ML Research Enthusiast | Systems Builder
๐ Building real-world AI systems that scale
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
Python C C++ Java Kotlin JavaScript
React.js Node.js Django
TensorFlow Keras PyTorch Scikit-Learn
OpenCV YOLO MediaPipe
LSTM GRU Transformers CNN
MySQL MongoDB AWS
Blender Autodesk Maya Unreal Engine
SketchUp Photoshop
- 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
- 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
- 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
- Led Blender & Unreal Engine projects.
- Conducted VR/AR workshops and technical sessions.
- Organized seminars on VR, HoloLens & 3D modeling.
- Stanford University & DeepLearning.AI
Supervised Machine Learning: Regression and Classification
- Deep Learning Architectures
- Time-Series Forecasting
- Computer Vision Systems
- Hybrid ML Pipelines
- AI for Healthcare & Finance
- Research-oriented implementations
๐ง brahmansh29@gmail.com
๐ LinkedIn: https://linkedin.com/in/brahmansh29
๐ป GitHub: https://github.com/Brahmansh29
โBuild systems that think. Deploy solutions that scale.โ