Machine Learning, Deep Learning, Tensorflow, Pytorch, Opencv, Python, Computer Vision, GenAI, Prompting, LLMs, GenAI systems, OCR engines, PIL, Fine-tuning

data engineering , Numpy, Pandas, Pytorch, Python, Testing and release, scikit-learn, Development processes, ELT data pipelines, ML research methodologies, Build processes, Production ML systems, Source control management, ML pipelines

Jax, Tensorflow, Nlp, Pytorch, Python, ASR, Agentic RAG pipelines, ML lifecycle evaluation and deployment, Llm, TTS, state space models, self-learning agents, LLM orchestration, low-latency real-time ML applications

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

Machine Learning, Kafka, Sql, MLops, Docker, Spark, Python, Kubernetes, AWS, Ai, anomaly detection, Real-time data processing, Time-series forecasting

Machine Learning, Sql, Spark, Python, Neural architectures, ML libraries, Regression, Gradient-boosted trees, ranking, Classification, Causal reasoning, Evaluation frameworks

Pytorch, Python, C++, ROS2, reinforcement learning, ML pipelines, Robotic Systems, ML frameworks, ML concepts and evaluation methodologies, VLA models, MLOps tools and practices, anomaly detection

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

Machine Learning, LangChain, Generative AI, AI Application Architecture, LLMOps, Python Software Engineering, Model Evaluation, LangGraph, Agentic AI, LLM Applications, RAG, LlamaIndex, Observability, Production AI ML Systems