Adnan Karamehic

Software Engineer & Entrepreneur

Munich, Germany

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2x founder, Full Stack and AI/ML engineer with startup and consulting experience. Built scalable SaaS, loyalty platforms, and AI-driven data systems; led teams and delivered products used by thousands of users at large-scale events.

SOFTWARE ENGINEERING

Full stack product development, AI/ML systems, scalable SaaS, and cloud infrastructure across startup and enterprise environments.

Python•Azure ML suite•Google Cloud•Flutter•React/React Native•MongoDB•PostgreSQL•C#•CI/CD•System Design•API Design•Data Pipelines•LLM finetuning

EXPERIENCE

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Entrepreneur in Residence
atAntler
MunichGermany🇩🇪(Feb 2025 - Jul 2025)
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Co-Founder & IT Team Lead
atDiginom LLC
SarajevoBosnia and Herzegovina🇧🇦(Feb 2024 - Present)
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Technical Co-Founder
atVenuvio UG
MunichGermany🇩🇪(Jan 2023 - Dec 2023)
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In-House Product Developer
atQPLIX
MunichGermany🇩🇪(Apr 2024 - Jan 2025)
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In-house Product Developer (AI/ML)
atQPLIX
MunichGermany🇩🇪(Apr 2024 - Dec 2025)
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Full Stack Software Engineer
atQPLIX
MunichGermany🇩🇪(Jan 2023 - Apr 2024)
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Full Stack Software Engineering Intern
atClimatePartner
MunichGermany🇩🇪(Oct 2022 - Jan 2023)
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Data Management & Teaching Assistant
atTechnical University of Graz
GrazAustria🇦🇹(Mar 2022 - Jul 2022)

PROJECTS

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Rewardzz SaaS Platform:

Lead the development of the Rewardzz SaaS Platform - Dual mobile apps and a web platform enabling restaurants to run loyalty programs, analyze behavior, and launch targeted promotions. Scalable SaaS driving customer retention.

Google CloudTypescriptFlutterNoSQLREST APIs
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Event Tech Platform (Venuvio):

No-code event app builder used at large events, including 80,000+ attendee event in Munich; designed for several thousand concurrent users on GCP.

JavaTypeScriptReact NativeMongoDB AtlasGoogle CloudCI/CD
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AI Outlier Detection for Large scale Financial Data Streams:

AI-driven anomaly detection and validation system processing 30,000+ financial data points/day; custom algorithms LLM orchestration.

PythonC#SciPyMongoDBMLLLM finetuning
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AI Document Recognition Pipeline:

Hybrid Azure/on-prem pipeline using Donut and fine-tuned Llama 2; achieved 90%+ accuracy on document classification and extraction.

PythonAzure ML suiteData pipelinesLLM finetuningML OpsHuggingface
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Product Carbon Footprint Calculator:

Sustainability tooling and React front-end for corporate carbon measurement, with AWS/Terraform-based infrastructure.

TypeScriptReactAWSTerraform

EDUCATION

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M.Sc., Elite Graduate Program in Software Engineering
TU München, LMU, University of Augsburg, Bavaria, Germany (2024)
Selected as 1 of 15 from several thousand applicants; sponsored by Elite Network of Bavaria.
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B.Sc. in Software Engineering and Management
Technical University of Graz, Graz, Austria (2022)
Focus on Agile Project Management; Dean's List.

HIGHLIGHTS

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Scaled a consulting startup to 8 employees within a year; led architecture, planning, and delivery.

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Delivered event apps handling several thousand concurrent users; supported an 80,000+ attendee event.

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Deployed AI systems processing 30,000+ financial datapoints/day; built ML pipelines with 90%+ accuracy.

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Created an ML/AI customer facing document processing pipeline for Qplix.

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Built hybrid cloud/on-prem ML/AI workflows and robust CI/CD with Agile practices.

AFFILIATIONS

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Elite Network of Bavaria - Active Member

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The Entrepreneurial Group (Munich) - External Events Organizer