Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning, Pandas, Scikit Learn, Pytorch, Python, Tensorflow, Keras, XGBoost, Aws, Google Cloud Platform, Azure, Docker, Kubernetes, Software Engineering, Flask, FastAPI, Hadoop, Apache Spark, Llm

triton , MLops, Gcp, Docker, Databricks, Azure, Kubernetes, Python, AWS, ML platform engineering, machine learning infrastructure, MLflow, K3s, vLLM, Ollama, TGI, CI CD pipelines, LLM-based applications

Machine Learning, Jax, Tensorflow, Pytorch, Ec2, Opencv, Python, Computer Vision, AWS, Airflow, Distillation, Biometrics, TensorRT, Quantization, ONNX, EKS, face recognition, SageMaker, Pillow

Machine Learning, Pandas, Numpy, XGBoost, Sql, Python, scikit-learn

Machine Learning, Scala, Big Data, Redshift, Tensorflow, Jenkins, Pytorch, Kinesis, Spark, MongoDB, Keras, Python, Airflow, SparkML, Druid

Microservices, Rest Api, Docker, Python, AWS, Java, Rust, Node.js, Gcp, Azure, Kubernetes, Anthropic Claude, Meta Llama, Google Gemini, Go, Pinecone, LangSmith, LangGraph, Chroma, OpenTelemetry, Azure ADK, OpenAI GPT-4, CrewAI, LangChain, AutoGen, FAISS, Milvus, Weaviate

Matplotlib, Power Bi, Tableau, Sql, Google Cloud, Tensorflow, Numpy, Git, Pytorch, Pandas, Seaborn, Keras, Azure, Python, AWS, Plotly, Scikit-learn

Machine Learning, Scipy, Natural Language Processing, Clustering, Sql, Numpy, Pandas, Gcp, Azure, Python, AWS, LangChain, Segmentation, Hugging Face, Scikit-learn, anomaly detection, Retrieval-Augmented Generation, Recommendation Systems, LangGraph, GenAI applications, Time-series analysis, Large Language Models

AWS, Computer Vision, Java, Python, Azure, Gcp, enterprise-grade products, Go, cloud platforms, applied ML research, LLM fine-tuning, reinforcement learning, large-scale distributed systems