Backend Engineer • AI Agent Engineer • Systems Builder

I build production‑grade backend systems and AI agents that actually scale — not just demos, not just notebooks.

I work at the intersection of backend engineering, data systems, and applied AI. My focus is turning messy, real‑world requirements into clean, reliable, and cost‑efficient systems.

I care deeply about:

• ⚡ Latency & performance
• 🧱 System reliability & maintainability
• 🧠 LLM realism (context limits, cost, failure modes)

I’m engineering‑first, not hype‑first.

I naturally ask questions like:

• How do we handle 2MB+ text without blowing the context window?
• What happens when the schema changes tomorrow?
• Can this run 10× bigger without 10× cost?

My goal is to ship systems that survive real users, real traffic, and real edge cases.

Languages

• Python (async‑first, APIs, agents)
• JavaScript / TypeScript (tooling, scraping, automation)

Backend & Infra

• FastAPI
• Django
• MongoDB
• Async processing & batch workflows

AI / LLM Systems

• LlamaIndex
• Tool‑based agents
• Retrieval strategies (keyword, vector, hybrid)
• Token‑aware chunking & truncation

Automation & Scraping

• Playwright (JS‑heavy & infinite scroll pages)
• Stealth & pagination handling

These are real repositories from my GitHub that represent how I work:

• 3dvt-backend — Python backend powering a 3D visualization platform
• django-minio-backend — Django + MinIO backend for scalable object storage

• 3dvt-frontend — Frontend paired with a production backend
• web-selector-annotator — Browser extension for DOM selection & annotation

• office-word-count — Replacement utility for deprecated office tools
• tekber3101 — Practical local development & experimentation project

My repos often explore:

• Handling large, messy datasets
• Designing agent tools for unknown schemas
• Making AI systems predictable, observable, and cost‑aware

I’m a strong fit if you need someone who can:

• Design AI agents that don’t hallucinate themselves to death
• Bridge product needs ↔ backend constraints ↔ LLM limits
• Own systems end‑to‑end, not just features

I work especially well with:

• Startups moving fast but needing stability
• Companies serious about AI beyond PoCs
• Teams dealing with high‑volume or unstructured data

If you’re:

• Hiring a Backend / AI Engineer
• Looking for a technical partner
• Building systems that need to scale cleanly

Feel free to reach out.

Good engineering is invisible to users — and unforgettable to teams.