Fractional First
EABE

Experienced AI & Backend Engineer

Senior AI & Backend Engineer | LLM Pipelines | Cloud Infrastructure | .NET

Middle East Region

Description

This technologist brings over seven years of experience designing and delivering scalable backend architectures and advanced large language model (LLM) features into production environments. They have led the development of complex marketplaces, auction platforms, and AI-native products that prioritize uptime and performance by leveraging cloud services, container orchestration, and modern backend frameworks. Recognized for pioneering agentic AI pipelines and cultivating engineering excellence, this expert combines deep technical rigor with team mentorship to embed quality and innovation in fast-evolving technology settings.

Key Roles

  • •Co-founded a technology venture, acting as lead engineer and interim CTO, architecting and delivering multiple complex AI-driven products including online marketplaces and real-time auction systems.
  • •Designed and implemented robust, schema-validated LLM data pipelines processing thousands of daily records with hybrid vector and keyword search capabilities.
  • •Built innovative multi-agent AI tools to streamline project management efforts and embedded high-quality testing standards company-wide, achieving extensive test coverage.
  • •Led cloud infrastructure operations that maintained near-perfect uptime via container orchestration, blue-green deployments, and database latency optimizations.
  • •Delivered AI-powered candidate evaluation platforms meeting stringent enterprise SLAs with flawless post-launch stability.

Meet Me

I’m a dedicated AI and backend engineer passionate about transforming complex intelligent systems from prototypes into scalable, reliable solutions. I take pride in crafting elegant, data-driven AI pipelines and agent-based solutions that empower teams and businesses alike. Beyond hands-on engineering, I mentor peers, drive rigorous design reviews, and establish standards that elevate team performance. As a competitive programming enthusiast and lifelong learner, I thrive where advanced AI meets sound engineering practice.

Personas

AI Systems Architect

  • •Developed production-grade LLM pipelines integrating schema validation, vector search, and model performance benchmarking.
  • •Created sophisticated multi-agent AI frameworks to enhance team productivity and workflow automation.
  • •Optimized cloud deployments with Kubernetes, sustaining high availability and resilience during demand surges.

Superpowers

Superpowers not available

Sweet Spot

Excelling at the intersection of innovative AI development and dependable backend engineering, the ideal impact involves leading startups from early to growth stages by defining architectures, delivering cutting-edge AI functionalities, and cultivating engineering cultures grounded in quality and agility.

Functional Skills

LLM & AI Pipeline Development
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Schema-Validated Data Pipelines- Designed scalable LLM data ingestion pipelines with comprehensive validation processing thousands of daily items.
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Hybrid Search Systems- Implemented hybrid vector and keyword search leveraging advanced ranking fusion techniques for enhanced relevance.
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Model Benchmarking & Routing- Built task-specific model benchmarking suites to allocate workload to optimal LLMs balancing cost and quality.
Backend Architecture & Cloud Engineering
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Distributed Systems Design- Architected event-driven backends with cloud orchestration using .NET Core, SQL and NoSQL databases, Kubernetes, and cloud-managed services.
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Performance Optimization- Reduced database query latency significantly through fine-tuned SQL and caching layers, lowering system load at peak times.
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CI/CD & Observability- Established robust release pipelines and monitoring using continuous integration tools, automated testing, and metrics dashboards.
Leadership & Engineering Excellence
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Engineering Standards & Documentation- Authored architectural decision records and led design reviews, fostering agentic development practices and clear documentation.
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Mentorship & Hiring- Interviewed and onboarded engineering talent while mentoring teams to improve quality and productivity.
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Incident Reduction & Reliability Practices- Implemented blameless postmortems and on-call protocols, reducing operational incidents by a significant margin.

User Manual

Thrives in environments that value technical excellence and innovation combined with clear engineering standards and a strong mentorship culture. Prefers autonomy in designing and owning architecture while collaborating closely with teams to deliver AI-forward backend solutions. Achieves optimal impact through early strategic alignment and iterative, experimental approaches.

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Education

  • •Bachelor’s degree in Computer Engineering from a prominent regional university

Focus Areas

Backend System ArchitectureLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Multi-Agent AI SystemsCloud Infrastructure & KubernetesAI-Driven Product DevelopmentTeam Leadership & MentorshipTest-Driven Development & Quality Engineering

Industries

Artificial IntelligenceSoftware as a Service (SaaS)Marketplace PlatformsCloud ComputingInternet of Things (IoT)

Geographical Coverage

Middle EastTurkeyEuropeRemote Global

Stage

Early Stage StartupsGrowth Stage CompaniesScale-up Ventures

Personal Interests

Competitive ProgrammingAI Ethics and Agent-Based SystemsMentoring DevelopersOpen Source Contributions

Certifications

Language Proficiency Certification