Karthik Bharadwaj

• Experience in Cleaning, Pre-processing of raw data and creating AI/ML pipelines with keras, leveraging from transfer learning using popular architecture for computer vision and Sequence related task. • Understanding of Deep learning algorithms such as CNNs, RNNs and BRNNs. • Expertise working with Sequence classification problems using Encoder only model such as BERT and Fully connected Nueral networks. • In-depth knowledge of Feature based such as GloVec and Context based word embeddings for Sequence related tasks. • Pro-Actively contributed to several research/patent activities and participated in many review process. • Visualization expertise with Matplotlib and Seaborn packages in python. • Knowledge of Object Detection using OpenCV and Yolo, Probability, Statistics and Vector spaces. • Comfortable with other AI models such as LSTMs, GRUs, Encoder and Decoder, Clustering(K-Means, SVM) and Dimensionality reduction algorithms. • Fluency in using different python packages such as Numpy, Pandas, Scikit-learn.

• Collaborated with other engineers in fine-tuning existing model with newer datasets, performed model validation and optimized Hyper-parameters. • Curated a series of online courses from the internet to gain knowledge in Statistics and Probability that allowed me to build a strong foundation I needed to change career.