Tensorflow, Pytorch, Natural Language Processing, Conversational agents, Chatbots, Cloud-based AI services, Large Language Models

data engineering , Azure, Sql, AWS, Artificial Intelligence, Kubernetes, Python, Docker, Machine Learning, MLops, Large Language Models, Generative AI

python, Natural Language Processing, Deep Learning, Pytorch, lora, Transformers, langgraph, generative ai, fine tuning, ml evaluations, peft, langchain, embedding, multimodal ai, vector database

S3, PostgreSQL, Tensorflow, Lambda, Javascript, Ec2, Pytorch, Docker, XGBoost, Python, Node.js, Redis, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, TorchScript, Pinecone, ONNX, Stable Diffusion, Detectron2, controlnet, YOLO, AWS SageMaker, Diffusers

workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures

containerization , Hadoop Ecosystem, Java, Tableau, Data Visualization, Kafka, Machine Learning, Power Bi, MySQL, Bi Tools, Scala, PostgreSQL, Flume, Big Data Technologies, Shell scripting, Data Modeling, RDBMS, Google Cloud, AWS, Distributed Systems, Python, Azure, Statistical Analysis, Jenkins, Devops Tools, MongoDB, Spark, large-scale application development, CI CD pipelines, R, NoSQL databases

Python, Sql, tree-based models, R, observability monitoring tools, Generative AI tooling, time-series forecasting, classical ML modeling

Apis, Performance Monitoring, Version Control, Gcp, MLops, Azure, Python, Statistical Analysis, Machine Learning Algorithms, AWS, data preprocessing, cloud platforms, production-ready ML pipelines, model evaluation, deep learning techniques, feature engineering, model lifecycle management, model optimization, hyperparameter tuning