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Enes SejdiniES
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Enes Sejdini

@enessejdini

I build and evaluate LLM workflows that turn documents into grounded, structured outputs.

Germany
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What I'm looking for

I'm looking to build and evaluate practical LLM and document-intelligence workflows, combining grounded AI automation with structured processing, rigorous evaluation, and human review.

I build LLM and document-intelligence workflows that turn unstructured evidence into grounded, structured outputs. My work spans retrieval, prompt-based generation, evaluation, and human review.

For TalkCV, I built an ingestion and retrieval workflow that answers recruiter and client questions using grounded CV, GitHub, and workplace evidence. I implemented MiniLM retrieval, Supabase/PostgreSQL storage, privacy controls, visitor sessions, and CV-download tracking.

In my MSc thesis, I developed a Python pipeline that transforms research abstracts and room constraints into topic-coherent layouts using MiniLM/BERT embeddings, hierarchical clustering, and GRASP optimisation. I’m also building Munus, an AI job-application workflow for ingesting jobs, matching candidates, and generating reviewable documents grounded in real experience.

Alongside my technical projects, I bring 3 years and 4 months of consulting experience at LEORON Institute, where I translated business, data, integration, security, and deployment requirements into practical designs for enterprise LMS/TMS customers.

Experience

Work history, roles, and key accomplishments

XA

Forward Deployed Engineer, DevOps

XALT

May 2026 - Jun 2026 (1 month)

Supported client-facing DevOps and cloud-migration work involving CI/CD workflows, repository migration, platform tooling, and technical process improvement. Explored options for moving on-premises Bitbucket repositories to GitHub.

LI

Senior Consultant, Digital Learning

LEORON Institute

Jan 2025 - Mar 2026 (1 year 2 months)

Managed enterprise LMS/TMS customers of approximately 100 to 20,000+ people and translated business, data, integration, security, and deployment requirements into practical solution designs. Worked closely with customer IT, internal technical and Customer Success teams, business owners, executives, and public-sector stakeholders.

Education

Degrees, certifications, and relevant coursework

Lancaster University Leipzig logoLL

Lancaster University Leipzig

Master of Science, Data Science

2025 -

Pursuing an MSc in Data Science with coursework in machine learning, statistical methods, data mining, and big data analytics. Currently enrolled and expected to graduate in 2026.

South East European University logoSU

South East European University

Bachelor of Science, Computer Science

2018 - 2022

Grade: 7.92/10

Completed a Bachelor of Science in Computer Science with a focus on software engineering, programming, databases, and algorithms. Achieved a grade of 7.92/10.

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