Built a full stack support feature scratch for the Gpay for Business app that can help save significant cost.Skills: Programming · Java · Unit Testing ·Remote Procedure call (RPC). Protocol Buffers, Type Script ,SCSS,Google Internal tools and Technologies,Problam solving.

Python Basics➢ Before diving into AI, make sure you have a good grasp of Python programming fundamentals. You need to understand variables, data types, control structures (if statements, loops), and functions.Libraries and Frameworks➢NumPy=>NumPy is a library for numerical and matrix operations. It's fundamental for AI, especially for working with large datasets.Pandas=>Pandas is used for data manipulation and analysis. It's essential for data preprocessing.Matplotlib and Seaborn=>These libraries are helpful for data visualization.Scikit-Learn=> Scikit-Learn provides a wide range of machine learning algorithms and tools for model training and evaluation.TensorFlow and PyTorch=>These are deep learning frameworks that are commonly used for building neural networks and deep learning models.Data Collection and Preprocessing➢Collect and clean data that will be used to train and test your AI models. This step is crucial because the quality of your data will significantly impact the performance of your AI system.Machine Learning➢Select an appropriate machine learning algorithm based on your problem, whether it's classification, regression, clustering, or something else.Split your data into training and testing sets.Train the model using your training data.Evaluate the model's performance using the testing data.Deep Learning➢If your problem is complex and requires deep learning, use frameworks like TensorFlow or PyTorch.Design and train neural networks.Fine-tune hyperparameters to improve model performance.Natural Language Processing (NLP)➢If your AI project involves text analysis, NLP libraries like NLTK, spaCy, or the Transformers library can be very useful.You can build chatbots, sentiment analysis models, and language translation systems.Computer Visio➢For AI projects related to image or video analysis, OpenCV and deep learning frameworks like TensorFlow and PyTorch can be used to build object detection, image recognition.

➢Working with ShareChat Creator Ecosystem team, focused on increasing the number of creators and improving retention on the ShareChat and MOJ Platform while enhancing the overall creator experience.➢ Responsibilities involve managing the creator hub, analyzing and organizing analytics data for creators and their posts, coordinating campaigns and challenges, and predicting the level of engagement for posts.Skills:➢ SCYLLA · Memcached · Google BigQuery · Cloud Storage · Google Cloud Platform (GCP) · BigTable · Redis · Apache Kafka · Apache Druid · Go (Programming Language) · Elasticsearch · MongoDB · Python (Programming Language).