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, Tensorflow, Personalization, Pytorch, Python, embeddings, multimodal modeling, Generative AI, neural architectures, preference learning, reinforcement learning, bandits, reward modeling, retrieval, ranking, Large Language Models

Machine Learning, Nlp, XGBoost, LLM post-training fine-tuning, embeddings, large-scale retrieval, model evaluation frameworks, Applied AI, memory architectures, reinforcement learning, retrieval systems, recommendation systems, LLM architecture, ranking, benchmarking methodologies

Java, Machine Learning, Natural Language Processing, Data Mining, Deep Learning, Tensorflow, Pytorch, Data Visualization, Python, Sci-kit, R, Statistical Modeling

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

model development , Sql, Natural Language Processing, Deep Learning, MLops, Python, Data Analysis, Vector Databases, Statistical ML, GenAI Chatbots, Agentic AI Frameworks

data engineering , probabilistic models , Sql, Deep Learning, Tensorflow, Pytorch, XGBoost, Python, LSTMs, scikit-learn, tree ensembles, LightGBM, time-series forecasting, CNNs, Transformers, CatBoost

Pandas, Docker, Flask, FastAPI, Kubernetes, Scikit-learn

Performance Tuning, Glass-Box Observability, Risk Mitigation, Feature Engineering, Continuous Optimization, Hybrid Agent Strategy, Statistical Rigor, Function Calling

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