Machine Learning, Tensorflow, Python, Forecasting, LLMs, Drift detection, Scikit-learn, Applied AI, Time-series modeling, Production ML systems, Generative AI systems, Feature engineering, anomaly detection, Embeddings, Agent-based architectures, Retraining, Pydantic, Deployment monitoring, Data pipelines, PTorch, ML frameworks

Machine Learning, Cuda, Tensorflow, Pytorch, Python, Gradient-based optimisation, Mixed-precision inference, Probabilistic inference, Knowledge distillation, GPU-accelerated computing, Weight pruning, Loss surface geometry, Mathematical frameworks, Quantisation, Regularisation theory, Edge AI deployment

Gcp, Docker, Azure, Kubernetes, Python, AWS, Airflow, TFX, MLflow

Open Cv, Tensorflow, Pytorch, MLops, Python, AWS, Langchain, edge computing, HuggingFace, Go, vector databases, RAG based applications, LLM architectures

Tensorflow, Rest Services, Pandas, Pytorch, Flask, Keras, FastAPI, Python, AI orchestration frameworks, AI Gen AI Agentic AI, vector databases

graph databases , Pytorch, Neo4j, Python, Ml, self-hosted LLMs, knowledge graphs, DPO, AI engineering, Hugging Face, vector databases, SGLang, LangSmith, embedding-based retrieval, BM25, ArangoDB, Langfuse, TensorRT-LLM, fine-tuning, SFT, Arize, vLLM, Braintrust, LoRA, QLoRA

data engineering , Deep Learning, Tensorflow, Java, Machine Learning, Pytorch, Data Science, Keras, Python, R, sci-kit

Sql, Python

Python, Flask, FastAPI, Machine Learning Algorithms, Nlp, cloud platforms

Tensorflow, Pytorch, MLops, Spark, Databricks, Python, checkpointing, efficient attention, distributed strategies, GPU training, mixed-precision training, gradient accumulation