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Engineering Dashboard
Personal Development System
Current focus / mission
My mission is to integrate AI with software architecture to create intelligent and autonomous systems.
I am a systems thinker who understands modern software and AI systems and builds intelligent AI solutions that enhance them.
20% completion
Operational timeline
North star
Mission
I am a systems thinker who understands modern software and AI systems and builds intelligent AI solutions that enhance them.
My mission is to integrate AI with software architecture to create intelligent and autonomous systems.
Identity firstOpen for full text
Trajectory
Direction
2026 statement
My Direction is to develop expertise in AI-powered system architecture and learn how intelligent agents integrate into modern software systems.
Intelligent and autonomous software systems
Primary capabilityAI System Architecture
Focus System
Cadence
2026 GoalsYear
Focus on learning and building AI system architectures using RAG and agent-based systems.
- There are thousands of AI tools, frameworks, tutorials, models, and trends
- If you try to learn everything, you end up learning nothing deeply
Q2 FocusQuarter
Focus on designing and building Retrieval-Augmented Generation (RAG) systems.
- --> During this quarter, I will concentrate mainly on learning retrieval-based AI systems
March FocusMonth
Focus on understanding RAG fundamentals by working with embeddings, vector databases, and simple retrieval pipelines.
- --> Understanding RAG fundamentals
The one thingYear → Quarter → MonthY → Q → M
Systems & signals
Active study
Learning Lab
- AI System Architectures
Designing the structure and workflows of modern AI systems
- Retrieval and Knowledge Systems
Embeddings, vector databases, semantic search, chunking, retrieval pipelines, and RAG patterns.
- Agent Workflows and Autonomous Systems
Agent loops, tool calling, task planning, multi-agent systems, and workflow orchestration.
Depth over breadth
Input
Current Reading
Thinking, Fast and Slow
Daniel Kahneman
Chapter: chapter 9
20%
Shipping
Current Build
ProjectPLANNED
Intelligent Knowledge AssistantArchitecture: Documents → Embeddings → Vector DB → Retrieval → LLM → Answer
Related Learning:
EmbeddingsVector databasesChunking
80/20 skills
Leverage Areas
LLM reasoning and prompting
Retrieval systems (RAG)
Agent workflows
AI system orchestration
AI evaluation and reliability
80/20 PrincipleSkills with disproportionate impact
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