Cassandra, PostgreSQL, Kafka, Tensorflow, Pytorch, Docker, Neo4j, XGBoost, Flask, Oracle, Python, AWS, Sql, Rabbitmq, Django, Pandas, Gcp, Spark, MongoDB, Keras, FastAPI, Azure, Kubernetes, JanusGraph, Polars, MLflow, Dask, LightGBM

graph databases , Machine Learning, Nlp, Python, LangChain, NoSQL Systems, Observability and Drift Detection, Model Evaluation, Prompt Engineering, LLM Integration

Tensorflow, Nlp, Pytorch, Gcp, Computer Vision, Azure, Python, AWS, GenAI, scikit-learn, LLMs, R

AWS, Tensorflow, Grafana, Prometheus, Pytorch, Kubernetes, Azure, Docker, Gcp, Jenkins, Git, ONNX, MLflow, Kubeflow

Tensorflow, Pytorch, Keras, Python, AI/ML algorithms

Tensorflow, Pytorch, Pandas, Apis, Scikit-learn, GenAI

Azure Storage, Tensorflow, Pandas, Numpy, React, Ffmpeg, Azure Machine Learning, Opencv, Azure Functions, Pytorch, Python, Docker, Azure Data Lake, Pillow, AKS, ACI, scikit-learn, Open3D, Event Hubs, pcl

Logging tools, Continuous Integration, Continuous Deployment, Prometheus, Networking, Python, Docker, Shell script, Automation Scripting, Elk Stack, Google Cloud Platform, Infrastructure as Code, GCP Native Services, Containerization technologies, Firewall configurations

Reactjs, FastAPI, Python, LLM optimization, embeddings, LLM pipelines, Prompt engineering, AI Agents, DevOps practices, cloud platforms, vector databases, Multi-agent orchestration frameworks, RAG architectures