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Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

Highlights

  • Pro

Organizations

@Fisor-Analytics @young-professionals-canada

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enesyesil/README.md

Hello, Friend 👋

Software Engineer — Backend / Platform

Distributed Systems · Cloud · Data Infrastructure · Agentic Workflows

Website

LinkedIn

Email

Profile views

Now

  • Building reliable backend systems with clear contracts, observable execution, and boring-by-design infrastructure
  • Interested in Platform engineering, Software & Cloud architecture, and Agentic automation that stays deterministic where it matters
  • Ship small → Validate → Harden

Building now

These are the projects I’m actively building and iterating on.

  • Design Cockpit — WIP workspace for making product/design decisions and turning them into clean plans.md + implementation contracts.md Repo → design-cockpit

  • Atlas Fabric — It explores whether we can systematically build a usable historical boundary dataset when none publicly exists Repo → atlas-fabric

  • IssueSight — GitHub issue context-bridge (LLM-assisted) to help juniors understand issues faster and reduce back-and-forth
    Repo → issuesight

  • Job Weaver — Go-based job discovery + digest system focused on startup/small-company opportunities
    Repo → job-weaver

  • Backenderer — lightweight deployment platform (infra-as-product) for shipping backends fast and reliably
    Repo → backenderer

How I build (so projects don’t rot)

My default build order:

  1. Interfaces first (APIs, schemas, minimal UI surface)
  2. Execution engine (workers, queues, schedulers)
  3. State + data (Postgres, Redis, object storage, Iceberg)
  4. Observability (metrics, logs, traces)
  5. Hardening (tests, rate limits, failure modes, CI/CD)

This keeps complexity contained and makes refactors survivable.

Tech Stack I actually use

Go TypeScript Next.js Python Postgres Redis Docker AWS Azure Hetzner Dokploy Dokploy Terraform Prometheus Grafana

Stats (lightweight)

Streak

Operating principles

  • I ship small, learn fast, and iterate.
  • Build → test → ship → improve.

Expect prototypes, experiments, and code that probably shouldn’t work (but sometimes does).

Pinned Loading

  1. fisor-builder fisor-builder Public

    A research/data pipeline module. It converts open-ended natural language questions into structured datasets

    Python

  2. iceberg iceberg Public

    Forked from apache/iceberg

    Apache Iceberg

    Java

  3. backenderer backenderer Public

    A lightweight, secure, and decentralized backend deploy kit for students and hobbyists. Deploy your backend app to your own cloud account in seconds - no servers to manage, no SSH needed.

    HCL

  4. docufier docufier Public

    A cross-platform desktop app that lets non-technical documentation maintainers easily create, open, and share portable Markdown-based documents.

    JavaScript

  5. issuesight issuesight Public

    IssueSight ingests GitHub issues and uses LLMs to generate "Context Bridges" from breaking down complex issues into junior-level prerequisites, architectural summaries, and implementation guides.

    Go

  6. ckm ckm Public

    A workload orchestration system I built to understand how kernel scheduling, memory management, and production infrastructure come together in real-world systems.

    Go