Machine Learning, Tensorflow, Git, Nlp, Pytorch, Docker, Rest Apis, Python, Ocr, Computer Vision, DocTR, Vision-Language Models, Grounding DINO, CLIP, NLLB, IndicTrans2, TrOCR, PaddleOCR, IndicWhisper, OWL-ViT

Tensorflow, Pytorch, Python, MLops, Spark, Databricks, GPU infrastructure, model versioning, event tokenization, efficient attention, attention-based architectures, positional embeddings, mixed-precision training, self-supervised pretraining, gradient accumulation, automated retraining, experiment tracking, masked modeling, deep learning models, distributed strategies, contrastive learning, downstream fine-tuning, check-pointing, Production Monitoring

, Sql, Deep Learning, AWS, Pytorch, Data Manipulation, Python, Azure, Gcp, Big Data, Speech NLP, Statistics, experimentation, Modeling, Generative AI

Computer Vision, Deep Learning, Jax, AWS, Tensorflow, Kubernetes, Python, Azure, Gcp, Docker, Pytorch, image-to-image generation, image processing techniques, GANs, Inpainting methods, VAEs, CNNs, Generative AI, Diffusion models

Tensorflow, AWS, Pytorch, Python, Kubernetes, Azure, Gcp, Docker, hybrid AI systems, LLM integration, MLOps tools, MLflow, Kubeflow, feature engineering, data preprocessing, model evaluation metrics, ML pipelines, CI CD pipelines