Sparql, Rdf, Microsoft Azure, Python, ELT, Etl, agentic AI frameworks, GenAI, star schemas, owl, Microsoft Fabric

Java, Git, Machine Learning, Gcp, MLops, Docker, Pyspark, Azure, Python, Sql, AWS

Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering

Docker, Terraform, Python, Google Cloud Platform, Kubernetes, Big Query, CI CD, Cloud Run, Observability, GKE, Fast API, AI Security Evaluation, ML Ops, Vertex AI Agent Builder, Gemini Generative AI, RAG Vector Databases, Agentic AI Multi-Agent Systems

Algorithms, C, Java, Tensorflow, Linux, Rest Apis, System Design, AWS, Pytorch, data mining, Kubernetes, Python, Azure, Gcp, Docker, data structures, scikit-learn, Go, Statistics, Visualization

Python, Logging, Hugging Face TGI, GPU-backed serving stacks, vLLM, KV cache management, Vision-language models, Schema enforcement, GPU-based LLM serving, Context window control, tracing, Deterministic validation systems, Batching, Rule enforcement, and metrics

Typescript, Node.js, Python, DevOps practices

Technical Leadership, Strong Python Engineering, Systems Thinking at Scale, Cloud and Platform Engineering, LLM Retrieval and Knowledge Systems, Agentic Systems and Orchestration, Production AI Architecture