Backend Engineer / AI Agent Builder

I build the systems that think for themselves.

Python. Django. AI Agents. Backend systems and autonomous infrastructure — from news aggregation to self-healing servers.

STATUS: ONLINE

LOCATION: SOFIA, BG

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BOYKO FILIPOV

Backend & AI Infrastructure Engineer

I'm a backend developer who believes the best frontend is the one an AI agent builds for you. I specialize in Python, Django, and building AI-powered systems that operate autonomously.

My stack spans from database schema design to Kubernetes orchestration, with AI agents filling the gaps in between. Currently running a 56-core home server that hosts my entire production ecosystem — news aggregation, AI processing, and autonomous monitoring. When something breaks at 3 AM, my Service Guardian (powered by Claude) fixes it before I wake up.

“Logic is the blueprint, performance is the foundation.”

STACK_PRIMARY

PYTHON / DJANGO / POSTGRESQL

STACK_INFRA

DOCKER / K8S / PROMETHEUS

STACK_AI

CLAUDE / LANGCHAIN / AGENTS

UPTIME

99.7%

END_OF_TRANSMISSION

SEQ_ID: BF-8821-X

SYS://PROJECTS.MANIFEST

Data flowing through transparent processing pipelines — visual metaphor for PlanetFeed's real-time news aggregation

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PRODUCTION

PLANET FEED

AI-powered newsroom platform monitoring 500+ media sources around the clock. Rewrites any article into 100% unique content in one click and distributes across 7 channels — WordPress, WhatsApp, Viber, Discord, Slack, Teams, Email.

Django Python PostgreSQL Redis REST API AI/ML

Sources Active

500+

Articles Processed

10K+/day

Distribution

7 Channels

Mechanical spider traversing network cables — visual metaphor for PlanetScraper's autonomous web crawlers

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97%

PLANET SCRAPER

Autonomous scraping engine powering PlanetFeed's content pipeline. 4-method extraction with intelligent fallback, circuit breakers per domain, content deduplication via MinHash LSH, and anti-detection stealth mode. Runs 24/7 with zero manual intervention.

Python asyncio PostgreSQL Redis Docker

Cycle 24/7 CONTINUOUS

Extraction Pipeline 4-METHOD FALLBACK

Sources Active 99

Server rack with teal indicator lights — visual metaphor for HomeLab's 56-core self-healing cluster

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HOMELAB WATCHDOG

AI-powered infrastructure monitor for a 56-core Proxmox VE hypervisor. Runs every 30 minutes, feeds metrics to Claude AI for trend detection, creates deduplicated incident tickets, and accepts email replies to dispatch a Remediator agent that fixes issues via SSH.

Bash Python Claude AI systemd SQLite

Host Cores

Trend History

42 Days

Scan Interval 30 min

[OK] CPU/MEM/SWAP/DISK: nominal

[OK] Dead-man heartbeat: pinged

[AI] Trend analysis: disk +2.1% / 24h

Kubernetes cluster with AI-powered monitoring overlay — Service Guardian's autonomous remediation system

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ACTIVE

SERVICE GUARDIAN

AI-assisted Kubernetes service monitor with 3-tier auto-remediation. Tracks 11 services in parallel, maps a dependency graph to separate root causes from cascading failures, and escalates from automatic pod restarts to AI-suggested diagnostics to human notification.

Python kubectl Claude AI SQLite systemd

Services Monitored 11

Check Interval 3 MIN

Remediation 3-TIER ESCALATION