Are you Looking to build a smart, scalable, and efficient application with both classical and modern Machine Learning/Deep Learning techniques? You've come to the right place!
With extensive experience in applied and theoretical machine learning and AI, I specialize in:
- Deep Neural Networks and their optimization
- AI/ML/DL applications for data analytics
- Real-time Object Detection using YOLO, SSD, VGG, Mask-RCNN, Faster-RCNN
- k-Means Clustering and k-NN for data analysis
- Custom Deep Learning Models: development, optimization, and training
- Transfer Learning
- Computer Vision & Facial Recognition: FaceNet, dlib, OpenCV, TensorFlow, PyTorch
- NLP: LSTM, BERT
- Support Vector Machines (SVM)
- Principal Component Analysis (PCA)
- Linear/Logistic Regression, Random Forest, Decision Trees, Naive Bayes
I use these tools for development:
- R Studio(R language)
- VS Code
- Jupyter notebook
- PyCharm Professional (Python)
- Spyder
- Google Colab
I use these Languages for development:
My code is clean, concise, professional, and well-documented.
Lets turn your idea into reality. Consult with me to bring your project to life.