Tensorflow, Jax, Keras, Python, ML frameworks, Gemax

Java, Golang, Gcp, Docker, MongoDB, Python, Cloud Composer, AI Platform, TimescaleDB, Stackdriver, GCS

Machine Learning, Cmake, Automation, Python, AWS, Bazel, Cloud-based deployments, DevOps practices

Gcp, Distributed Systems, Restful Apis, Azure, Python, AWS, ML pipelines, event-driven architectures, Go, AI Solutions, asynchronous processing

PostgreSQL, React, Celery, Docker, Terraform, MySQL, Flask, Python, AWS, Dynamodb, Pulumi, Redis, Django, Jenkins, Rabbitmq, Gcp, MongoDB, FastAPI, Azure, Kubernetes, Claude, GitHub Actions, LangChain, CrewAI, AutoGen, GitLab CI, OpenAI, Gemini, LlamaIndex

Deep Learning, Seaborn, Numpy, Pytorch, Computer Vision, Matplotlib, Opencv, Python, LSTM, PIL, scikit-image

graph databases , S3, Aws Services, Node.js, Typescript, Ec2, Neo4j, Docker, Iam, Kubernetes, Python, LangChain, AWS Strands, vector databases, Pinecone, LangGraph, LLM orchestration frameworks, Generative AI LLM technologies, Google ADK, Weaviate

Kafka, Node.js, Sql, Microservices, Nosql, Rabbitmq, Django, Typescript, Docker, Sqs, Sns, Flask, FastAPI, Kubernetes, Python, LLMs, Go, gRPC APIs, Monitoring, alerting, AI-driven backend services, observability

data curation , Machine Learning, Computer Vision, Tensorflow, Deep Learning, Image Processing, Pytorch, Python, Optimization and pruning of AI algorithms, Processing and management, Multi-modal Deep Learning, scikit-learn, 3D CNNs, Foundation models

Java, Kotlin, Distributed Systems, Rest Apis, Observability pipelines, AI coding assistants, Developer Platform MCP integrations, prompt engineering, MCP Model Context Protocol, A2A Agent-to-Agent protocols, AI Key Management, cloud-native infrastructure, observability tooling for AI LLM systems, LLM Proxy, multi-agent orchestration patterns, machine learning concepts, AI Review GitHub App