Deep technical breadth across AI/ML, full‑stack product engineering and automated cloud infrastructure. Explore the same capability pillars we apply in venture builds and client delivery.
From autonomous decision support to realtime conversational systems and retrieval‑augmented workflows. We design pragmatic, production‑ready AI systems—grounded in data, observability and iterative validation.
Built on AWS & GCP with data pipelines to ML models on SageMaker and Vertex AI
Using Local LLM + OpenAI Realtime, grounded by RAG/LangChain
Intelligent chat systems with real-time processing and context awareness
Modern web & SaaS platforms built with a composable, type‑safe stack. We emphasize maintainability, performance budgets and clear domain boundaries.
Financial platforms with secure transactions and real-time processing
Complete shopping experiences with payment integration and inventory management
Medical platforms with patient management and telemedicine capabilities
AI-powered support systems with multi-channel communication and real-time processing
Scalable, observable infrastructure with infrastructure‑as‑code, automated ML pipelines and managed data services. Reliability, cost efficiency and velocity by design.
Automated AWS & GCP deployment with Terraform for scalable infrastructure
Train and serve models on SageMaker & Vertex AI with CI/CD integration
Integrate ingested data with BigQuery, BigTable and analytical stores