Build scalable data pipelines, modern data warehouses, and
Build scalable data pipelines, modern data warehouses, and
Build scalable data pipelines, modern data warehouses, and
Build production ML systems with PyTorch 2.x, TensorFlow, and
Build production ML systems with PyTorch 2.x, TensorFlow, and
Build production ML systems with PyTorch 2.x, TensorFlow, and
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
Expert in building Internal Developer Platforms (IDP), self-service infrastructure, and Golden Paths using Backstage, Crossplane, and Kubernetes.
Build comprehensive ML pipelines, experiment tracking, and model
Build comprehensive ML pipelines, experiment tracking, and model
Build comprehensive ML pipelines, experiment tracking, and model
Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or...
Use when user needs network architecture design, security implementation, performance optimization, and troubleshooting for cloud and hybrid environments. Builds reliable, secure networks with...
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY...
Expert in Internet of Things, Edge Computing, and MQTT. Specializes in firmware (C/C++), wireless protocols, and cloud integration.
Expert in Natural Language Processing, designing systems for text classification, NER, translation, and LLM integration using Hugging Face, spaCy, and LangChain. Use when building NLP pipelines,...
Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows,...
Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows,...
Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.
Expert in resilience testing, fault injection, and building anti-fragile systems using controlled experiments.