Skills
Python
- Strong Basic
- Professional Project with FAST API
- Practical knowledge to build Library
- Numpy, SkLearn, Matplotlib
Cloud Technology
- AWS Textract, Rekognetion, Comprehend Medical
- AWS Lambda, Dynamodb, Neptune DB
- AWS Segmaker and Google Colab
- Basic knowledge about Kubernets
Machine Learning
- Mathematics of Machine Learning
- Traditional Machine Leaning
- Bayesian Model, Tree, Gradient Boosting, XGBoost
Computer Vision
- Professional project for Image Classificaion and Object Detection
- Publish paper using Generative Adversarial Network (GAN)
- OCR for document analysis
- Basic Understanding about Recomendation Engine
Natural Language Processing
- Project for Document Text annotation and Text extraction
- Build professiona Libray for Text extraction and document analysis
- Name Entity Recognation
- Spacy for NLP
Accomplishments
- Cloud Native Fundamentals
- Message Passing
- Observability
- Microservices Security
- Foundations of Reinforcement Learning
- Value-Based Methods
- Policy-Based Methods
- Multi-Agent Reinforcement Learning
- Introduction to Computer Vision
- Facial Keypoint Detection
- Advanced Computer Vision and Deep Learning
- Automatic Image Captioning
- Object Tracking and Localization
- Landmark Detection & Tracking
- Introduction to Deep Learning
- Developing a Handwritten Digits Classifier with PyTorch
- Convolutional Neural Networks
- Landmark Classification and Tagging for Social Media
- RNNs & Transformers
- LSTM Seq2Seq Chatbot
- Building Generative Adversarial Networks
- Face Generation
- Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.
- Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression