Ivan Dabić

A man with a beard and glasses, wearing an orange hoodie and a black cap with a Hard Rock Cafe logo, stands with his arms crossed against a plain white background.

Ivan Dabić

Co-founder and CEO of BlueGrid.io, with a background in cloud infrastructure, distributed systems, monitoring, and security operations. He works closely with engineering teams to build and operate reliable systems while documenting both technical and organizational aspects of modern engineering work.

Ivan is a metalhead, and big fan of cyberpunk move genre. If you are his secret Santa go with Star Wars Lego box!

Case Studies by Ivan Dabić

11 case studies published

An AI Marketing Agent That Gave a Finance Org Back 8 to 12 Hours a Week

This case study showcases the work done for a finance and VC space organisation in the field of AI marketing automation. The marketing segment we are automating is managing Google Analytics 4, Google Ads, Cloudflare logs, Gmail, Google Drive; strategising changes according to report this automation generates.

1 AI Engineer
~$5K
7-10 days

Custom Multi-Domain Web Ecosystem

BlueGrid.io collaborated with The Bloom Brands, a cannabis e-marketplace, to build a fast, scalable, and connected digital ecosystem. The new WordPress-based platform, integrated with Webflow, combines a public website, admin portal, and CRM for seamless content, store, and lead management.
The result is a multi-domain architecture that streamlines operations and delivers a smooth, high-performance experience for customers and partners alike.

WordPress Development Team
$15K
6 Months

Building a Scalable SaaS Platform for Traffic Accident Reporting and Legal Lead Generation

BlueGrid.io partnered with MyAccident.org, a SaaS platform helping accident victims access official reports and connect with law firms for free consultations. Over a five-year collaboration, BlueGrid.io rebuilt the entire system – modernizing its backend, frontend, and cloud infrastructure.

The result is a robust, scalable, and user-friendly platform that automates accident reporting, streamlines lead generation, and supports nationwide traffic data at scale.

4 Developers, 1 DevOps, 1 UI/UX
5 Years

Accelerating a Computer Vision Inference Pipeline

In this project, our ML team redesigned merging as a real-time, in-pipeline process: as tiles are inferred, they’re blended into the full canvas immediately, stripe by stripe, rather than after inference completes. This eliminated a critical latency hotspot, halved merge time, cut peak memory by ~70%, and delivered a 1.6× end-to-end speedup, while enabling progressive, near-real-time visualization.

2 Engineers
$25K
3 Months
Share this post

Share this link via

Or copy link