Welcome to the World Community Network (WCN)! Join us in creating a blueprint for a new world of harmony and abundance. Our 77-person team now spans six continents and communicates in 57 languages. Behind the scenes, we are very busy developing systems for the web and via a mobile app that will inspire and enable us to connect, communicate, and take collective actions together. The first version of our mobile app for iOS is finished! We are now preparing to migrate to AWS to support much higher web traffic. The new social media/networking platform is 99% complete and is being beta tested. Join with us today!

Ritu Sharma, AI/ML Engineer (Jaipur, India)

Ritu Sharma is an AI/ML engineer with more than three years of experience and expertise in the field of Artificial Intelligence, Machine Learning, Deep Learning, NLP and Computer Vision. She is also a Kaggle Competitions Master and notebook expert. Ritu is hard-working and passionate about solving the client's hunger for AI solutions. She is excited to work on a wide range of projects including Predictive Analytics and Reinforcement Learning. Ritu’s skill set includes Machine Learning/Deep Learning Libraries (scikit-learn, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn, Jupyter Notebook, Anaconda, Keras, PyTorch), Machine Learning Algorithms (Linear Regression, Logistic Regression, Support Vector Machines (SVM), Naive Bayes, KNN, Decision Tree, Random Forest, Gradient Boosting, Principal Component Analysis (PCA), KMeans, Agglomerative Clustering), Deep Learning Algorithms (Simple NN, CNN, RNN, LSTM, Transformers, BERT, GPT-3, GPT-2), Natural Language Processing (NLTK, spaCy, Gensim, word2vec, GLoVe, doc2vec, HuggingFace Transformers), Programming Languages (JavaScript, Python), Collaboration and Work Management Tools (Jira, Confluence, Trello, Basecamp), Cloud Computing and Containers (Docker, Google Cloud, AWS), Database Technologies (Relational and Non-relational): Microsoft SQL Server, Oracle, PostgreSQL, MongoDB (NoSQL). Ritu has developed and implemented machine learning models to solve real-world problems, collaborated with cross-functional teams to streamline data pipelines and improve model deployment efficiency, led AI/ML projects, overseen the end-to-end development and deployment of advanced machine learning and deep learning solutions, and utilized cloud computing platforms to scale and optimize model training and inference processes. Ritu likes reading, hiking and natural exploration, yoga and meditation, gardening, outdoor adventure, and traveling.