AI Engineer • Applied AI Researcher • Product Builder

Bridging AI research, software engineering,
and production delivery.

I’m Mobin Shahidi, a Berlin-based AI engineer with 8+ years of engineering experience. I build production AI systems, recommender systems, LLM applications, data pipelines, and full-stack products, from early ideas to reliable deployment.

8+ Years engineering experience
5M+ Records processed
4 Production products built
4 Publications
Berlin, Germany • Open to selected senior AI engineering opportunities, research collaborations, and consulting engagements
Portrait of Mobin Shahidi

About

Production AI Engineer with 8+ years of engineering experience, including 4+ years specializing in AI/ML and 4+ years in full-stack software development. I build end-to-end AI systems, from large-scale data pipelines and model development to cloud deployment, MLOps, and production operations.

My career started in full-stack product engineering, where I built SaaS platforms, REST APIs, databases, and university-facing production systems. Through graduate study and applied research, I moved deeper into AI, recommender systems, NLP, explainability, and information quality. Today, I focus on bridging software engineering and machine learning by turning research ideas into reliable, observable, and maintainable AI-powered products.

Work Experience

A concise timeline of roles verified against my public professional profiles and CV.

Founder & AI Engineer

Mar 2026 · Present
MeydaNews · Berlin, Germany

Leading product direction and building the AI, backend, data, MLOps, and AWS infrastructure for a live media intelligence platform.

Research Engineer

Feb 2024 · Feb 2026
University of Potsdam · Potsdam, Germany

Developed information-quality pipelines, predictive models, and a quality-aware news-domain recommender for the EU-funded Social Media for Democracy project.

Technical Consultant

Jan 2024 · Mar 2024
Max Planck Institute for Human Development · Berlin, Germany

Designed and delivered an automated Reddit data pipeline for research into political discussion, with structured extraction and data-quality controls.

AI Research Assistant

Mar 2023 · Sep 2023
Bu-Ali Sina University · Hamedan, Iran

Developed and evaluated explainable recommendation models and co-authored research on joint recommendation and explanation generation.

Co-Founder & Full-Stack Software Engineer

Feb 2017 · Jul 2021
PhotoCans

Owned architecture, backend development, customer workflows, licensing, deployment, and ongoing production releases for a privacy-first SaaS product.

Skills & Expertise

A practical mix of AI research, production engineering, cloud operations, product thinking, and startup execution. I focus on skills that help move ideas from prototypes to reliable systems people can actually use.

AI

AI / ML Systems

Intelligent systems from models to production.

4+ years AI/ML focus
Recommender Systems NLP LLMs RAG Explainable AI
DEV

Software Engineering

Reliable backend, frontend, and product code.

4+ years full-stack development
Python FastAPI C# / ASP.NET REST APIs Next.js TypeScript
OPS

Infrastructure, Cloud & MLOps

Deployable, observable, repeatable systems.

Production deployment mindset
AWS Docker Terraform CI/CD Observability
R&D

Research, Development & Analysis

From research questions to measurable systems.

Research to implementation
Experiment Design Statistical Analysis Information Quality Misinformation
UX

Product Design & Engineering

Clear product flows backed by strong engineering.

User-centered builder
Requirement Analysis Product Strategy UX Flows System Design
BIZ

Entrepreneurship & Leadership

Ownership across product, users, and delivery.

Co-founder experience
SaaS Product Building Technical Ownership Release Planning Roadmapping

Projects & Case Studies

Concise proof here, with the problem, delivery decisions, and technical depth in each full case study.

FirmaVelo

Client-discovery platform

A full-stack workspace connecting company discovery, source-backed research, prospect qualification, contact discovery, and reviewed email or LinkedIn drafts.

Implemented workflow: from a company candidate to a reviewed introduction, with reusable research and usage credits. Screens show demo data.
Next.jsFastAPIPostgreSQL

MeydaNews

Live AI product

Founded and built a media intelligence platform for discovering stories, comparing coverage, inspecting evidence, and organizing research.

Verified outcome: a working product connects automated collection with story comparison, original evidence, and a private research workspace.
RAGFastAPIAWS

Quality-aware recommendation

Applied research system

Designed and evaluated a recommender that balances personal relevance with independently validated signals of source reliability.

Verified outcome: average recommended-source quality increased by 3 points while baseline precision was maintained.
PersonalizationSource QualityEvaluation

PhotoCans

SaaS product

Co-founded and delivered a privacy-first product spanning customer journeys, administration, licensing, deployment, and releases.

Verified delivery: supported presentation, sales, onboarding, licensing, and support for more than 100 users across multiple production releases.
ASP.NET CoreREST APIsSQL Server

ReserveAfzar

Internal workflow system

Designed and deployed a shared booking system for hall availability, recurring reservations, and administrative reporting.

Verified operational change: one shared workflow replaced informal coordination and made availability visible to staff.
Workflow DesignASP.NETSQL Server

Tech Stack

Languages

C# C#
Python Python
R R
C++ C++
JavaScript JavaScript

Web & Frameworks

HTML HTML
CSS CSS
Bootstrap Bootstrap
Blazor Blazor
Next.js Next.js
.NET Core .NET Core
FastAPI FastAPI

AI / Data

TensorFlow TensorFlow
PyTorch PyTorch
NumPy NumPy
Pandas Pandas
Scikit-learn Scikit-learn
OpenCV OpenCV
ML.NET ML.NET
Jupyter Jupyter
LangChain LangChain

Cloud / DevOps / Tools

Docker Docker
Prometheus Prometheus
AWS AWS
Azure Azure
MySQL MySQL
SQLite SQLite
MS SQL Server MS SQL Server
Git Git
GitHub GitHub
Visual Studio Visual Studio
IIS IIS
Linux Linux

Publications

A Framework for Accurate Recommendation and Explanation Generation Using Multi-task Learning
M. M. Shahidi, A. Nazari, M. Mansoorizadeh · SN Computer Science · 2026

Improving News Reliability in Algorithmic Newsfeeds
M. Shahidi, L. Oswald, S. Herzog, S. Lewandowsky · 2026

Coming out soon

Exogenous Cues to Information Quality
M. Shahidi, L. Oswald, S. Herzog, S. Lewandowsky · 2026

Coming out soon

Possible Futures: Societal Consequences of Algorithmic Design and Social Media Use
S. Banisch, Mobin Shahidi, S. Lewandowsky · 2026

Coming out soon

Testimonials

Selected excerpts from professional reference letters and collaborations.

Prof. Hassan Khotanlou

Prof. Hassan Khotanlou

Professor of Computer ScienceBu-Ali Sina University

Academic Supervisor

“He was one of the best students in my class… His outstanding scientific knowledge and presentation skills impressed me.”

Dr. Muharram Mansoorizadeh

Dr. Muharram Mansoorizadeh

Associate Professor of Computer EngineeringBu-Ali Sina University

MSc Thesis Supervisor

“His critical thinking and programming abilities make him a skillful programmer who can quickly implement theory into practice.”

Prof. Stephan Lewandowsky

Prof. Stephan Lewandowsky

Professor of Cognitive ScienceUniversity of Bristol

Research Supervisor

“He consistently impressed me with his ability to understand complex concepts… and performed at a very high level.”

Prof. Lisa Oswald

Prof. Lisa Oswald

Professor of Computational Social ScienceGoethe University

Research Collaborator

“He built a Reddit data pipeline from scratch and developed a novel recommender system… demonstrating exceptional technical skill.”

Mohammadreza Mohammadi

Mohammadreza Mohammadi

Backend EngineerQuartr

MeydaNews Collaboration

“Mobin turned MeydaNews into a reliable, production-ready AI product, combining RAG, data pipelines, backend services, cloud infrastructure, and monitoring with strong technical ownership.”

Contact

Open to AI/ML engineering, applied research, and product-focused AI roles, especially where research needs to become reliable production software.