BOGDAN
a.k.a. dzeka — the engineer they send in
Software engineer out of Užice, Serbia. At Tenderly I was the sole technical owner of roughly 80% of company ARR: I sat with tier-1 protocols — Aave, Chainlink, Uniswap, Polygon, Yearn, Morpho — worked out what they actually needed, and architected the proof-of-concepts that won them and kept them. Before that, Tier-2 infrastructure escalations alongside Core Engineering, which is where you find out what a system really does under someone else's load.
The pattern has been the same in every role: find the manual work, then build the thing that removes it. An OpenAI-powered internal assistant that took about 60% of the manual support load off the team. A cross-platform desktop app of AI triage agents — macOS, Windows and Linux — that diagnoses incoming customer issues and outlines the fix, cutting engineering triage time by roughly 40%.
By night, whole systems in the open: payments-grade distributed systems in Go and Rust, a Kubernetes operator, and 283 decisions written down as ADRs so far. Architecture to ops — most at home where correctness actually matters and somebody is waiting on the other end.

SKILL TREE
OpenAI · Claude · agent loops
Retrieval · evals · tool use
Electron · macOS / Win / Linux
Go · Rust · Python · TypeScript
Postgres · Kafka · Redis · gRPC
Kubernetes · Terraform · ArgoCD
GCP · AWS · Docker · EVM
POC architecture · solution design
Tier-2/3 escalation · incident comms
Grafana · OTel · Sentry
XP LOG
Built a cross-platform desktop app of AI triage agents — macOS, Windows, Linux — that ingests customer-reported issues, diagnoses them and outlines the fix. Cut engineering triage time ~40% and took most of the manual work out of my own role.
Sole technical owner of ~80% of company ARR. Scoped what tier-1 protocols — Aave, Chainlink, Uniswap, Polygon, Yearn, Morpho — actually needed, and architected the proof-of-concepts that won and renewed them.
Built an OpenAI-powered internal assistant that cut manual support workload ~60%. Owned Tier-2 infrastructure escalations end to end with Core Engineering — the customer on one side, the platform on the other.
Kept global multi-region cloud infrastructure healthy across customer environments, and engineered Macrometa → Snowflake data transfer pipelines.