Agentic AI systems

Architecting autonomous AI-native systems that transform static workflows into intelligent, goal-oriented business engines.

• Multi-agent environments for multi-step task execution.
• Agentic workflows for research, synthesis, and decision support.
• Advanced RAG and LLMOps with vector memory and orchestration.

SaaS and full-stack engineering

Building scalable, production-grade SaaS platforms and web applications with a focus on performance and clean architecture.

• End-to-end B2B and B2C platform engineering.
• High-performance backends with Python and FastAPI.
• Responsive product surfaces designed around real user journeys.

Cloud and DevOps

Engineering resilient infrastructure and release workflows so production systems stay available, secure, and observable.

• Containerization and environment-specific deployment design.
• CI/CD and release hygiene using GitHub Actions.
• Infrastructure hardening with TLS, proxying, and operational guardrails.

Strategic technical consultation

Providing architectural guidance for teams that need to scope, simplify, or harden technically ambitious products.

• Product and execution planning for AI-native and traditional systems.
• System design across databases, APIs, workflows, and business logic.
• Reliability reviews for bottlenecks, security risks, and production readiness.