Emir Can Manici

SoftwareEngineer&AISystemsArchitect

Ships web, mobile & AI products end-to-end · 12 projects delivered

24

Months Contract Work

14

APK Releases Shipped

23

AI Agents Architected

100%

Commitment

Open to Relocation & Visa Sponsorship
12+
Projects Shipped
23
AI Agents Built
14
APK Releases
100%
Commitment
Emir Can Manici

Emir Can Manici

Full-Stack Software Engineer & AI Systems Architect

Burdur, Turkey

About

I don't just write code — I architect and ship production systems. Built Meetbook — a location-aware book exchange platform for Android users to discover and trade books nearby. Powered by PostGIS spatial queries with a full STRIDE security threat model — 14 APK releases shipped to production.

Designed and deployed a legal AI platform for Turkish legal professionals — 23 autonomous agents with multi-model failover across Claude Sonnet 5, DeepSeek v4 Flash, GPT 5.5, and Gemini 3.1 Pro via OpenRouter. Integrated Turkish government UYAP system. Document editor supporting PDF, Excel, Word, and UDF formats. All running on a cost-optimized single-server deployment.

Cross-platform mobile app developer (React Native + Expo) delivering iOS and Android features from one codebase. Backend in Python with Rust-based libraries (PyO3/maturin) for performance-critical paths. PostgreSQL, Redis, GraphQL/REST APIs. CI/CD pipelines, Docker, cloud deployment.

B.Sc. Information Technology (2026). English professional working proficiency. Open to relocation, visa sponsorship, or full-remote.

Featured Work

Real Systems, Shipped to Production

Each project owned end-to-end — from database schema and threat models through CI/CD, deployment, and APK releases. These aren't tutorials.

Legal AI Platform
View ProjectRepo
AI / Legal Tech2025

Legal AI Platform

An AI-powered legal document analysis platform for Turkish legal professionals. 23-agent architecture with multi-model failover (Claude Sonnet 5, DeepSeek v4 Flash, GPT 5.5, Gemini 3.1 Pro), Turkish gov UYAP integration, and multi-format document editor (PDF/Excel/Word/UDF).

Architecture

React + FastAPI + PostgreSQL + Redis | OpenRouter multi-model routing (Sonnet 5, DeepSeek v4 Flash, GPT 5.5, Gemini 3.1 Pro) | Automated failover | Single-server deployment

Impact

Reduced document analysis time from hours to minutes. 99.9% inference uptime via multi-model failover.

PythonFastAPIReactPostgreSQLAI AgentsOpenRouterRedis

Experience

Where I've Built

Full-Stack Developer (Contract)

BLGN Studios

Dec 2025 – Present
  • Building and shipping Mira AI — a cross-platform mobile AI application with React Native + Expo frontend and Python backend (Rust-based libraries via PyO3 for performance-critical processing), delivering features to both iOS and Android from a single codebase.
  • Architecting backend data access layer on PostgreSQL, Redis, and OpenRouter through REST and GraphQL APIs — handling multi-model AI routing (Sonnet 5, DeepSeek v4 Flash, GPT 5.5, Gemini 3.1 Pro), caching, and failover.
  • Setting up CI/CD pipelines with automated testing across web and mobile targets, reducing deployment cycle from hours to minutes.

AI Systems Engineer (Contract)

Emrisoft (United States)

Jun 2025 – Dec 2025
  • Architected and built a legal AI document platform from scratch — React frontend, FastAPI backend, PostgreSQL persistence, Redis caching — serving document analysis across PDF, Excel, Word, and Turkish government UDF formats.
  • Integrated multi-provider AI system (Claude Sonnet 5, DeepSeek v4 Flash, GPT 5.5, Gemini 3.1 Pro via OpenRouter) with automated failover achieving 99.9% uptime for inference requests.
  • Designed a cost-optimized single-server architecture handling full application stack: reverse proxy, application server, database, cache, and AI inference — keeping infra costs under control while maintaining reliability.

Lead Web Developer (Contract)

Iskur — Agency of Employment

Mar 2025 – Jun 2025
  • Directed full-stack development using Python (FastAPI) and TypeScript across multiple web properties.
  • Architected and deployed Next.js 16 frontends with Tailwind CSS v4 via Docker on AWS/GCP infrastructure.
  • Set up monitoring, logging, and automated deployment pipelines for production systems.

Skills

Technical Arsenal

AI & Machine Learning

Multi-Agent AI ArchitecturesLLM Integration (Sonnet 5, DeepSeek v4 Flash, GPT 5.5, Gemini 3.1 Pro)RAG & MCPPrompt EngineeringAutomated Failover SystemsAI System Design

Frontend

React / Next.js 16TypeScriptTailwind CSS v4 / Framer MotionReact Native / ExpoResponsive DesignCross-Platform Development

Backend & Database

Python / FastAPIRust-based Python Libraries (PyO3/maturin)Node.jsPostgreSQL / PostGISRedisREST / GraphQL APIs

Infrastructure & Security

Docker / ContainerizationAWS / GCPCI/CD PipelinesSecurity Threat ModelingLinux SystemsCost-Optimized Architecture

Languages & Communication

TypeScript / JavaScriptPythonRust-based Python Libraries (PyO3)SQLTurkish (Native)English (Professional)

Credentials

Certifications & Training

AWS Certified Cloud PractitionerIn Progress
Docker and Kubernetes: The Complete Guide
Advanced React Patterns and Performance
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