Amir
Mohammadian — Data Scientist and AI Engineer based in Istanbul, Turkey
5+ years transforming raw data into production-grade ML systems across fintech, healthcare, mobility, and AI — from scalable pipelines to deep learning and LLM optimization.
Building the
future with data — About Amir Mohammadian, Data Scientist
I bridge the gap between cutting-edge research and real-world applications, turning complex data challenges into elegant, scalable solutions.
I'm a results-driven Data Scientist and AI Engineer with over 5 years of experience designing and deploying end-to-end machine learning systems. I've worked across fintech, mobility, healthcare, and blockchain — building everything from billion-record geospatial pipelines to RAG-powered document intelligence systems.
My toolkit spans scalable cloud infrastructure on AWS and GCP, deep learning architectures, NLP pipelines, and interactive data visualization — always with a focus on transforming raw data into production-grade ML solutions that drive real business impact.
Deep Learning
CNNs, GANs, Transformers, LLMs
Data Engineering
Spark, Kafka, AWS, GCP pipelines
NLP & LLMs
RAG systems, prompt engineering
Computer Vision
Classification, 3D reconstruction
Geospatial Analytics
Location intelligence, spatial indexing
Predictive Modeling
XGBoost, LightGBM, CatBoost
Data Science & AI Services
I help companies turn complex data challenges into scalable, production-ready AI solutions.
Machine Learning Consulting
End-to-end ML system design — from problem framing and data strategy to model development, deployment, and monitoring in production.
Data Pipeline Engineering
Scalable ETL/ELT pipelines on AWS and GCP, real-time streaming with Kafka and Spark, and big data infrastructure for billions of records.
NLP & LLM Solutions
Custom NLP pipelines, RAG systems, document intelligence, prompt engineering, and LLM fine-tuning for domain-specific applications.
Computer Vision & Deep Learning
Image classification, object detection, GANs, medical imaging analysis, and 3D reconstruction using state-of-the-art architectures.
Work
Experience
From startups to enterprise, remote to hybrid — building data-driven solutions across 4 continents.
Pyrite Risk Expert
Part-Time- AI-powered NLP & ML tools for automated financial document analysis
- Scalable classification pipelines for legal documents
- RAG system for intelligent document querying and retrieval
Mapin Data
Full-Time- Big data infrastructure on AWS & GCP processing billions of mobility records
- Real-time and batch pipelines for geospatial datasets
- Interactive visualizations and movement trend reports
Laxce
Part-Time- AI recommendation engine for token suggestions using ML
- Cross-chain crypto swap platform with DEX aggregators
- Real-time analytics dashboards with market insights
Deep Knowledge Group
Full-Time- Evaluated regional datasets for business growth opportunities
- Created data visualizations for strategic decision-making
Scale AI
Full-Time- Curated large-scale training datasets to optimize LLM performance
- Prompt engineering strategies and evaluation frameworks for LLMs
AIGOT
Full-Time- ML models predicting stress from wearable sensor data
- REST APIs and smartwatch app for real-time data collection
- ChatGPT API integration for intelligent NLP scheduling
Freelance
Freelance- GANs for image synthesis, CNNs for medical imaging
- Automated crypto trading platform
- 3D reconstruction with OpenCV, DeFi smart contracts
Machine Learning
Skills
A comprehensive toolkit honed over 5+ years across ML, cloud, data engineering, and beyond.
Languages Spoken
Education &
Certifications
BSc Computer Science
Azad University, Tabriz, Iran
2015 – 2019
Professional Certificate in Data Science
IBM, Coursera
2023 – 2024
IEEE UBMK 2025
A Recommender System for POI Business Classification
Presented orally, Istanbul
Worked across 5 countries & 3 continents
AI & Data Science Projects
Scroll to explore ↓
POI Business Classification
Recommender system for POI business classification using dynamic and socioeconomic data. Published at IEEE UBMK 2025, Istanbul.
TÜBİTAK HoReCa Decision Support
Hybrid recommendation frameworks integrating structured and visual data. Classification using vector embeddings from vision-language models.
Financial Document Intelligence
NLP and ML tools for automated document preprocessing, clustering, and a RAG system for intelligent querying of financial datasets.
Geospatial Mobility Analytics
Big data infrastructure on AWS & GCP processing billions of mobility records with real-time pipelines and interactive visualizations.
Cross-Chain Crypto Platform
AI recommendation engine for tokens and a cross-chain swap platform with DEX aggregator integration and real-time dashboards.
Wearable Health ML System
ML models predicting stress from wearable sensors. REST APIs and smartwatch app with ChatGPT integration for intelligent scheduling.
GAN Image Synthesis
Generative Adversarial Networks with autoencoder modules for high-quality, realistic image synthesis from structured data.
Lung Cancer Detection
CNN classifying lung cancer presence from MRI images with structured preprocessing pipelines for medical image analysis.
Get In
Touch
Have a project in mind or want to discuss data science and AI? I'd love to hear from you.