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

Github, BigQuery, Sql, Pytorch, Gcp, Docker, Opencv, Kubernetes, Python, Scikit-learn, dbt, Jupyter

Gcp, MySQL, PostgreSQL, FastAPI, Python, AWS, LangChain, Qdrant, Hugging Face transformers, Pinecone, LlamaIndex

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

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

Spark, Databricks, Python, LLM-based pipelines, LightGBM, Transformers, MLflow, semantic search

Physics-informed Neural Networks (PiNNs), Machine Learning, Scipy, Neural Networks, Deep Learning, Tensorflow, Numpy, Pandas, Pytorch, Surrogate Modeling, Relational Databases, Gaussian Processes, Hybrid Physics-ML Models, Gradient-based Optimization, Chained Model Pipelines, Automatic Differentiation Tools, Multi-fidelity Modelling, reinforcement learning

Java, Microservices, MLops, Docker, Databricks, Rest Apis, Kubernetes, Python, MLflow, GenAIOps, SageMaker, Kubeflow

text classification , Machine Learning, Distributed Systems, Apis, Nlp, Information Retrieval, Python, GenAI, LLMs, Backend Services, Real-time Inference, Applied ML, SLMs, Model Serving, Production AI Systems, Cloud-native Deployment, Document AI, Embeddings, RAG, Transformers, Observability, Monitoring