Java, Kafka, Spring Boot, Sql, Nosql, Tensorflow, Numpy, Git, Pandas, MLops, Gcp, Pytorch, Docker, Azure, Python, Kubernetes, AWS, scikit-learn, AI ML Expertise, Agentic AI, Microservices Architecture

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

Python, LangChain, LangGraph, Cloud Platforms, Embeddings, LLMs, Azure AI, AI Frameworks, Vector Search, Retrieval-Augmented Generation, Copilot Studio

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

Python, embeddings, model fine-tuning, model evaluation, AI agents, NLP concepts, prompt engineering

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