Engineering foundation
Systems, control, automation, robotics, signal processing, and structured problem solving.
ABOUT JOVAN
Engineering thinking for systems people actually use.
I'm Jovan Filipović - an Electrical and Computer Engineering graduate from the University of Belgrade building practical AI systems and business software around real customer and operational problems.
My work connects AI-enabled websites and customer tools, automation, CRM/ERP data, structured decision support, and custom internal software. Engineering thinking, team leadership, and communication training influence how I make those systems understandable and usable.
MY PATH
From signals and control to practical business systems.
Electrical engineering taught me to see a workflow as a system: inputs, constraints, handoffs, feedback loops, and failure modes.
That foundation now shapes how I approach messy business data, repetitive follow-up, unclear priorities, and operational processes that have outgrown spreadsheets.
I prefer small, inspectable systems that solve a defined bottleneck over large autonomous demos that are difficult to trust.
BACKGROUND
The experiences behind the way I build.
Team leadership
Basketball captaincy shaped how I communicate, coordinate people, and execute under pressure.
Building and learning
Hands-on work with AI workflows, industrial automation, evaluators, and operational MVPs.
Communication
NLP, PCM, mentoring, sales, and business-development training support clearer adoption.
PRINCIPLES
Standards I keep returning to.
Systems before features
Understand the process, data, constraints, and decision points before adding technology.
Human-approved delivery
AI can prepare and prioritize work while consequential actions remain reviewable.
Business-first scope
The useful outcome matters more than the number of models, agents, or integrations.
Visible failure paths
Recovery, deduplication, audit history, and clear ownership are part of the system.
OUTSIDE THE CODE
Team captaincy taught me to execute under pressure.
Organizing a team, keeping standards clear, handling sponsorship and partner communication, and making decisions during competition taught me that reliable execution is as much about people as it is about the system.
Want to see how I think in practice?
Try the toolsCURRENT FOCUS
Where I am focused now
- AI-enabled customer tools & websites
- AI workflow & agent systems
- CRM / operations automation
- Custom internal software & portals
- Reliable n8n automations
- MSc Automation and Control Engineering - Politecnico di Milano, starting October 2026
NEXT STEP
See how this thinking becomes working systems.
Explore the case studies or tell me about a website, workflow, or internal process that is currently slow, repetitive, or difficult to review.
