Ritwik Sarkar is a Machine Learning Engineer dedicated to leveraging cutting-edge technologies to solve real-world problems. He has proven expertise in the end-to-end lifecycle development of machine learning models, from data collection and preprocessing to deployment in production environments. Proficient in frameworks such as TensorFlow, PyTorch, and Scikit-Learn, he also utilizes cloud platforms like AWS and GCP, alongside advanced methodologies including LLMs and vector databases.
Education
Durgapur Government College, Bardhaman
B.A
Licenses & Certifications
Sequence Model
Google Cloud
Google Cloud Bigdata And Machine learning
Google Cloud
How Google does Machine Learning
Google Cloud
Structuring Machine learning Project
Google Cloud
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Google Cloud
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Google Cloud
Machine Learning for All
Google Cloud
Launching into Machine Learning
Google Cloud
Mathematics For Machine Learning Linear Algebra
Google Cloud
Supervised Machine Learning: Regression, Classification
Google Cloud
Advanced Learning Algorithm
Google Cloud
Mathematics For Machine learning: Multivariate Calculus
Google Cloud
Convolutional Neural Networks
Google Cloud
Unsupervised Learning, Recommenders, and Reinforcement Learning
Google Cloud
Mathematic For Machine learning: PCA
Google Cloud