Python, Tensorflow, Machine Learning, Deep Learning, Neural Networks, Nlp, Computer Vision, Big Data, Data Analysis, Model Deployment

error analysis , Tensorflow, Pytorch, Docker, Python, LangChain, Evaluation metrics, pgvector, Qdrant, Statistical testing, Container orchestration, MLflow, Pinecone, LLM orchestration frameworks, API integrations, Cloud deployments, Vector search engineering, LlamaIndex, MLOps fundamentals

Kafka, Tensorflow, Nlp, Pytorch, MLops, XGBoost, Spark, Python, graph analytics, scikit-learn, fraud-analytics, MLflow, anomaly detection, Flink, big-data tooling, Kubeflow, feature engineering, Fraud Detection, real-time inference, model monitoring

Machine Learning, Python, Sql, GenAI, Transformer-based recommendation systems, Agentic AI, Conversational AI, decision science

data engineering , Machine Learning, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Sql, Git, MLops, Azure, Feature Engineering, ML Pipelines, Model Evaluation, CI CD, Scikit-Learn, LangGraph, Model Deployment, ML Modelling, LangChain, CrewAI, LightGBM, AutoGen, Agentic AI

Machine Learning, Nlp, Pytorch, Docker, Rest Apis, Kubernetes, Python, Hugging Face Transformers, RAG, vector databases

Numpy, Predictive Modeling, Pandas, Amazon Redshift, Python, Aws S3, Jupyter Notebooks, Feature Engineering, Scikit-learn, Traditional Machine Learning, Model Testing and evaluation

Python Programming, statistical signal processing, LLM RAG pipelines, ML algorithms, time-series modeling, anomaly detection