Deep Learning, Nlp, Pytorch, Python, AWS, Gcp, Spark, Azure, Kubernetes, embeddings, inference, Video, end-to-end ML systems, Llm, VLM, training pipelines, fine-tuning, generative AI, cloud platforms, Vision, RAG, Production Monitoring, feature engineering, distributed data processing

Tensorflow, Deep Learning, Java, Machine Learning, Pytorch, Keras, automation, Python, Data Analysis, R

Java, Nosql, Machine Learning, Perl, Natural Language Processing, Big Data, Python, Document Retrieval, Map-Reduce, Search Engine Technologies

state estimation , Vision-Language Models (VLMs), Pytorch, Opencv, ROS, Python, Computer Vision, SLAM, Isaac Sim, MuJoCo, Gazebo, TensorRT, LibTorch, RT-2, OpenVLA, Eigen, ?0, ONNX Runtime, Transformers, Motion Planning, perception, ROS2, Imitation Learning

Golang, Jax, Prometheus, Cloudwatch, Grafana, Tensorflow, Pytorch, Python, Java, Scala, MLops, Spark, Keras, Kubernetes, Scalable ML architectures, End-to-end machine learning pipelines, Automated remediation, MLflow, Prediction and drift monitoring, Model hosting, Stream processing pipelines, Big data frameworks, Model versioning, API performance monitoring, Embedding scaling, Feature stores, Data versioning

probability , Tensorflow, Pytorch, Spark, Sql, Python, Data Analysis, Statistics, Scikit-Learn

Machine Learning, MLops, Python, embeddings, vector search, LLMs, Indic multilingual NLP, ML retrieval, recommendation systems, RAG, Conversational AI, LLM reasoning, LLM evaluation

error analysis , Deduplication, Pytorch, Python, Cloud Storage, Statistical Analysis, data augmentation, model training, model-based labeling, distributed compute, Active Learning, VLMs, Hugging Face LLMs, ablation studies, dataset curation, benchmark evaluation, workflow orchestration, weak supervision, Batch Processing, inference evaluation, synthetic-data generation, Production Monitoring, data-quality measurement, diffusion models, multimodal models

Python, Containerized environments, Machine Learning Engineering, Applied AI, Data pipelines, Distributed training, Model evaluation

data engineering , Numpy, Pandas, Pytorch, Python, scikit-learn, ML pipelines