data engineering , ML Libraries (scikit-learn), Version Control (Git), PyTorch), Containerization (Docker), Deep Learning Frameworks (TensorFlow, Data Processing (pandas, Orchestration (Kubernetes), NumPy), Java, Spring Boot, Python, Machine Learning, Distributed Systems, Artificial Intelligence, Restful Services, Agentic AI, Microservices Architecture, API Design Principles, Event-driven Architectures

Machine Learning, Distributed Systems, Saas, tool integration, retrieval-based architectures, orchestration technologies, modern LLMs, prompt optimisation, Ai, AI agents, architectural standards

Cloud Architecture, Devops, Git, Pandas, MLops, Gcp, Docker, FastAPI, Azure, Python, vector search, reranking models, unstructured data embedding, LLM applications, Langfuse, RAG, document parsing

Kafka, Spring Boot, Grafana, JIRA, Datadog, Nosql, Tensorflow, Pytorch, Docker, Swagger, Python, AWS, Java, Google Cloud, Sql, New Relic, Rabbitmq, Django, Jenkins, FastAPI, Postman, Azure, GitHub Actions, GitLab CI, RESTful API design

Cloud deployment, Scalability, Gcp, System Design, Python, AWS, modern backend frameworks, LLMs, DevOps practices, Reliability, agent-based systems, multi-agent workflows, model optimization

Docker, FastAPI, Kubernetes, Python, CI CD pipelines, Kubeflow, MLflow

pruning , Machine Learning, Cpu, Gpu, Pytorch, GGML, TensorRT, llama.cpp, acceleration, NPU, ONNX Runtime, real-time systems, ML frameworks, quantization, model optimization

Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, Gen AI, LangGraph, LLMOps practices, DeepSeek, Qwen, Google Vertex AI, vector DBs

Machine Learning, Artificial Intelligence, ELT, Gcp, Databricks, Azure, Etl, AWS, LangChain, CrewAI, multi-agent systems, data pipelines, data engineering workflows, workflow orchestration, model integration and orchestration, Agentic AI applications, agent frameworks, AutoGen, LangGraph, business intelligence solutions, AI agents, cloud-native platforms

Node.js, Python, API services, Go, LLM application development, vector databases, Monitoring, Caching, AI coding tools, performance optimization, RAG pipelines, Deployment