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Ahmed Bešić

Available to hire

Hi, I’m Ahmed Bešić, an AI-focused Fullstack Engineer specializing in building sophisticated SaaS intelligence platforms using React, Node.js, and TypeScript.

About

Hi, I’m Ahmed Bešić, an AI-focused Fullstack Engineer specializing in building sophisticated SaaS intelligence platforms using React, Node.js, and TypeScript. I design production-grade LLM workflows, integrate AI agents, and implement robust prompt design and context optimization to ensure reliable AI-assisted outputs.

With a Deep Neural Networks research background from TU Graz, I apply rigorous software architecture to scale consumer intelligence for global researchers and brands, while leveraging AI-enabled tools to accelerate delivery and maintain strong observability and automated testing.

  • 6 years' experience
  • Joined April 2026

Industry experience

  • Software & Internet
  • Professional Services

Work experience

Data Integration Collaborator · Professional ProjectJan 2024 – Dec 2024 · 1 yr

Scalable analytics synchronization: built scalable analytic pipeline integrations using SQL and Snowflake, ensuring datasets supported high-level machine learning models driving live predictive reports.

AI Fullstack Engineer (SaaS Integrations) · Self-EmployedFeb 2023 – Present · 3 yrs 10 mos

Engineered core intelligent features within a reliable B2B compliance SaaS using React and TypeScript on the frontend alongside scalable Node.js pipelines. Implemented production LLM workflows with agent-based scripts and established fallback handling and observability to guarantee AI-assisted output reliability. Maintained robust automated test suites and integrated AI tooling to accelerate deployment cycles.

Fullstack Application & Automation Engineer · Universals101 oHGSep 2020 – Oct 2025 · 5 yrs 2 mos

UI & consumer insights frameworks bridging scalable interfaces with continuous market analytics; architected automated bidding networks and decomposed complex problems into fast, scalable micro-steps. Collaborated safely within Agile sprints and ensured robust integration of predictive models into user-facing web portals without production latency bottlenecks.

Education

B.Sc. in Computer Science · Graz University of Technology (TU Graz), Austria2019 – 2025

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