AI Engineering
RAG, LLMs, AI agents, vector databases, prompt/context engineering, evaluation, security and production AI architecture.
TECHNICAL MENTORSHIP
Learn architecture from someone who still works close to code and production.
Mentorship for developers, leads and architects across AI, cloud, distributed systems and full-stack engineering.
Cloud & Architecture
AWS, Azure, microservices, Kafka, API gateways, Kubernetes, observability, resilience and architecture decision-making.
Full Stack Engineering
React, Next.js, Angular, Node.js, NestJS, Java, Spring Boot, MySQL, MongoDB and modern integration patterns.
Architect Career Track
Developer-to-architect transition, system design, HLD/LLD, architecture reviews, technical leadership and stakeholder communication.
What mentorship focuses on
- Understanding trade-offs instead of memorizing architecture patterns.
- Turning requirements into HLD, LLD, APIs, data flows and non-functional requirements.
- Designing for security, performance, observability, failure and recovery.
- Reviewing real code and architecture where appropriate.
- Preparing developers and technical leads for architecture responsibilities.
Who it is for
Developers moving toward senior or lead roles, technical leads preparing for solution architecture, architects strengthening hands-on depth, and engineering teams adopting modern AI, cloud or distributed-system patterns.
WORK WITH ROMHARSHAN