Nick Ashouri

AI & LLM Engineer · BI Developer

5 years building production AI and data systems on the Microsoft stack inside a German healthcare company. Shipped a GPT-4.1 Azure Function App processing ~100 medical documents per day. Co-author on three peer-reviewed healthcare publications.

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✉ nick.ashouri9248@gmail.com
⌖ Arnsberg, Germany
gh github.com/nick9248
in linkedin.com/in/nick-ashouri

Experience

Tehran Municipality

IT Technician
  • Managed helpdesk operations for 1,000+ municipal employees — implemented structured escalation processes and reduced recurring incidents, achieving a +15% improvement in system uptime.
  • Led a data analytics workstream for the District 6 Smart City initiative — built SQL and Elasticsearch dashboards that cut reporting time by 20% and contributed to a 10% reduction in electricity and water consumption through automation and data-driven operational adjustments.
SQLElasticsearchSmart City

reha assist GmbH

Application Developer
  • Established the foundational BI infrastructure for a rehabilitation management organisation of 100+ employees — configured Enaio DMS document workflows and built the first-generation Power BI reports that all subsequent dashboards built upon.
  • Designed and implemented ETL pipelines connecting Navision ERP data to the reporting layer, setting the data architecture standards used across all later projects.
Enaio DMSPower BIETLNavision ERP

reha assist GmbH

LLM Engineer & BI Developer
  • Designed and deployed an Azure Functions application using GPT-4.1 and LangChain to automate document classification, indexing, and clinical case summarisation against Enaio DMS — processing ~100 medical documents daily at 85% accuracy, reducing per-document handling from ~30 minutes to seconds.
  • Applied deliberate model selection across document types: GPT-4.1-nano for OCR preprocessing, GPT-4.1 for clinical reasoning — balancing throughput against API cost at scale.
  • Delivered 20+ Power BI dashboards across sales, HR, operations, and executive functions — consolidating Navision ERP, Enaio DMS, and HR data into real-time reporting that replaced multi-day manual processes, including a bonus calculation workflow reduced from 3 days to instant.
  • Currently developing a patient-data privacy filter using an open-source LLM to automatically redact sensitive identifiers before AI processing.
  • Translated clinical questions from doctors and department heads into data pipelines, dashboards, and AI workflows — bridging non-technical stakeholders and data infrastructure across 3 peer-reviewed publications.
GPT-4.1LangChainAzure FunctionsPower BIDAXSQL Server

Selected Projects

Options Trading DSS

2026 – Present

Automated decision-support platform for BTC/ETH options on Deribit — ML-based regime detection (LightGBM), displacement scanner with conviction scoring, on-chain analytics (GEX/DEX, max pain, IV surface). Deployed 24/7 on Hetzner VPS with Telegram alerts.

PythonLightGBMXGBoostPostgreSQL
↗ GitHub

Polymarket Copy-Trading Bot

2026 – Present

Blockchain trade-mirroring bot using EIP-712 signed CLOB orders on Polymarket's prediction market. Multi-layer safety guardrails: geo-verification, slippage guard, genesis block protection, and on-chain transaction validator.

PythonWeb3EIP-712PostgreSQL
↗ GitHub

On-Chain Options Dashboard

2025 – Present

Local web dashboard for BTC/ETH on-chain options analytics — GEX/DEX exposure, max pain, implied volatility surface, and block trade feed. Flask REST API backend with a React frontend.

PythonFlaskReactJavaScript
↗ GitHub

Publications

Corresponding Author

Effectiveness of Telephone-Based Treatment Accompaniment in Musculoskeletal Rehabilitation: A Paired Longitudinal Analysis Using ICUC Scores

Das Gesundheitswesen
Under peer review · 2026
1st Co-Author

Detecting disorders early in the healing process: Telephone support during the healing process using the ICUC score

BMC Health Services Research
Under peer review · 2025/2026
Co-Author

Long-term care of polytraumatized patients, requirements for rehabilitation management

Die Unfallchirurgie
Published October 2025

Numbers & Impacts

0
Medical docs processed daily
Each working day, ~100 medical documents arrive — diagnoses, procedure reports, invoices, referrals. Previously each took ~30 minutes to classify and route manually. The Azure Function App now handles the full pipeline in seconds: OCR, classification, indexing, and case-summary extraction.
0
classification accuracy
Average accuracy across all document types — Verordnungen, AU certificates, surgical reports, invoices. Achieved through deliberate model selection: GPT-4.1-nano for OCR pre-processing, GPT-4.1 for complex reasoning and clinical extraction.
0
Power BI dashboards delivered
20+ dashboards delivered across 8 departments — executive, sales, HR, operations, IT. Integrating Navision ERP, Enaio DMS, and HR data into one real-time view. Includes a bonus calculation reduced from 3 days to instant.
0
Peer-reviewed publications
Three peer-reviewed publications in healthcare and rehabilitation research — one published in Die Unfallchirurgie (Oct 2025), two under review in BMC Health Services Research and Das Gesundheitswesen. Full pipeline: SQL extraction, statistical analysis, clinical reporting.

Languages

US
US Flag
English
Professional Working Proficiency
DE
German Flag
German
B1 · TELC Certified
Advancing to B2
IR
Iranian Flag
Persian
Native

Skills

LLM Engineering
GPT-4.1GPT-4.1-nanoLangChainAzure OpenAIAzure FunctionsPrompt EngineeringDocument AIRAGNLP
Business Intelligence
Power BIDAXPower QueryDataflowsNavision ERPEnaio DMSETLData ModelingSQL Server
Programming
PythonLightGBMXGBoostscikit-learnpandasNumPyPostgreSQLGit
Research & Analysis
Statistical AnalysisLongitudinal StudiesCohen's dWilcoxonBootstrap CI
Leadership
Requirements TranslationStakeholder ManagementTeam Coaching

Education

BSc Computer Science

Kharazmi University, Tehran · 2013 – 2018
  • Foundations in algorithms, data structures, software engineering, and discrete mathematics.
  • Thesis and coursework spanning operating systems, database design, computer networks, and software architecture.

MSc Computer Science

Bergische Universität Wuppertal, Germany · 2019 – ongoing
  • 3 courses remaining — pursued alongside full-time employment in AI engineering and BI development.
  • Focus on advanced algorithms, machine learning foundations, and distributed systems.
  • Academic context that directly informs the statistical methods applied in three peer-reviewed publications.

Certifications

Hover any node to see the certificate name.

Beyond Work

Football
Real Madrid

It has been over 20 years that I am playing football. Pro and amature. In the recent years, knee injury (and laziness) held my from playing consistently and on top level. currently i am playing for Tus Wickede II team.

Billiards
Ronnie O'Sullivan

More details coming soon.

Cinema
Interstellar

More details coming soon.

Swimming
Michael Phelps

More details coming soon.

Gym
Arnold Schwarzenegger

More details coming soon.

Gaming
Kratos

More details coming soon.

Nick Ashouri  ·  AI & LLM Engineer