Available for Opportunities

Mahdi Ebrahimpour

Head of Data & AI

20+ years of expertise in designing scalable data architectures, developing cutting-edge machine learning models, and leading impactful data-driven projects. CEO & Founder of NewsPulse-AI.

Mahdi Ebrahimpour
20+Years Exp
50+Projects
M.ScAI Degree
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Shaping the Future With AI

Highly experienced Software and Data Engineer, AI Specialist with over two decades of expertise in transforming complex data challenges into innovative solutions.

I specialize in designing and implementing scalable data architectures, developing cutting-edge machine learning models, and leading impactful data-driven projects. My technical proficiency spans Python, Java, Scala, and Go, with a strong background in big data technologies, cloud platforms, and GenAI frameworks.

Currently serving as Head of Data & AI at DBA and as the CEO & Founder of NewsPulse-AI, where I'm building the future of AI-powered market intelligence.

Education M.Sc in Artificial Intelligence K. N. Toosi University of Technology (2014-2017)
Location Tehran, Azadi Street, Iran
Languages Farsi (Native), English (Professional) Arabic, German (Elementary)
Current Role Head of Data & AI DBA | Since January 2024
Python
TensorFlow
Kafka
Spark
GenAI
LLM
Kubernetes
MLflow
Docker
Flink
NLP
GNN

Professional Experience

Head of Data & AI

DBA
Jan 2024 - Present (2 years)

Tehran, Iran

  • Developed an AI agent and Telegram bot supporting voice, text, and image interactions, enhancing user experience efficiency by 40%
  • Created a conversational AI chatbot powered by LLMs, improving data retrieval efficiency by 25%
  • Implemented web crawlers to gather large datasets from various online sources
  • Established MLOps pipeline with Kubeflow and MLflow
  • Designed facial recognition pipeline using Apache Flink and TensorFlow
  • Developed object detection system using YOLO with NMS optimization
  • Implemented community detection in large-scale networks using GNN
  • Engineered automated ETL processes, reducing data migration time by 30%
  • Developed data lakehouse and warehouse, enhancing analytics by 40%
GenAILLMTensorFlowKubeflowMLflowFlinkYOLOGNN

Data Architect

WEPA
Jan 2024 - Mar 2024

Germany

  • Designed real-time data processing architecture with Flink and Kafka on Azure
  • Integrated NoSQL databases, improving retrieval efficiency by 50%
  • Established best practices for data management and processing standards
  • Implemented comprehensive logging and monitoring for data pipelines
AzureFlinkKafkaNoSQL

Data Engineer

PDI Technologies
Feb 2020 - Jan 2024 (4 years)

Tehran, Iran

  • Launched 21-node cluster with Kafka, MongoDB, and Spark
  • Architected solutions using Lambda, Kappa, and Zeta architectures
  • Developed containerized applications with Kubernetes and Docker
  • Executed graph analysis for actionable insights
KafkaMongoDBSparkKubernetesDocker

Data Scientist

PDI Technologies
Jan 2022 - May 2022
  • Applied NLP on large datasets for semantic search capabilities
  • Developed Transformers models: BERT, S-BERT, ParsBERT, BART
  • Conducted anomaly detection with Isolation Forest, SHAP, XGBoost
  • Implemented Topic Modeling with BERTopic, Top2Vec
NLPBERTLangChainTransformers

ML Researcher & Big Data Architect

MAHAKA
Nov 2017 - Mar 2020 (2.5 years)
  • Led R&D in face detection, face recognition, face clustering, face embedding
  • Built image recognition models with TensorFlow and Keras
  • Explored geospatial data analysis and map visualization
  • Applied clustering: KMeans, DBSCAN, HDBSCAN
  • Developed microservice architectures with Docker and Kubernetes
  • Directed streaming processing with Apache Flink and Kafka
Face RecognitionComputer VisionTensorFlowMicroservices

Big Data Instructor

Sharif University & MAPNA Group
2017 - 2019
  • Taught Big Data at Sharif University of Technology
  • Instructed at MAPNA Group: Hadoop, Spark, NoSQL, Stream Processing, ML
HadoopSparkNoSQLMachine Learning

Deep Learning & CV Researcher

Sensifai & IPM Brain Center
2017
  • Sensifai: Active Speaker Detection, Face Detection, Object Tracking
  • IPM Brain Center: Optimized eye attention software speed
Deep LearningComputer VisionObject Tracking

Data Engineer & Software Developer

Multiple Companies
2005 - 2017 (12 years)
  • Sahab Technology (2014-2017): Hadoop, Spark, HBase, Kafka, Zookeeper
  • KIAN (2011-2014): C#, SQL Server, Maltego, Data Mining
  • APA Group (2008-2011): C#, SQLite, TShark, Wireshark
  • Earlier roles: Delphi, PHP, SQL Server development
HadoopHBaseC#SQL ServerData Mining

Technical Skills

AI & Machine Learning

Generative AIAgentic AI LLMLangChainDeep LearningNLP Computer VisionTransformersBERTYOLOGNN

Big Data Technologies

Apache SparkApache KafkaApache Flink HadoopHBaseCassandraMongoDB Data LakehouseETL Pipelines

MLOps & Cloud

KubeflowMLflowKubernetesDocker AzureTensorFlow ServingMicroservices

Programming Languages

PythonJavaScala GoRC#SQL

ML Frameworks

TensorFlowKerasPyTorch Scikit-learnHugging FaceOpenCV

Data Architecture

Lambda ArchitectureKappa Architecture Zeta ArchitectureStream ProcessingReal-time Analytics

Certifications

Advanced topics in CNN & RNN
Deep Learning Networks
AI Philosophy, Ethics & Society
Computer Vision & Robotics
Advanced Big Data Analytics
Python in Data Science

NewsPulse.AI

Real-Time Price Prediction By GenAI

CEO & Founder

NewsPulse-AI is an innovative startup focused on leveraging real-time GenAI-driven analytics to predict market movements and prices across Commodities, Crypto, Stocks, Forex, and Indices.

By analyzing global news and data streams, we provide traders and investors with actionable insights, enabling them to make smarter, data-backed decisions. Our platform integrates cutting-edge AI technologies, including Agentic AI, LLM, NLP, and ML.

We are a comprehensive platform offering technical and fundamental analysis, scalping strategies, and both mid-term and short-term predictions. Additionally, we provide AI agents for buying and selling, serving individuals, companies, and traders.

Visit NewsPulse-AI
AI Prediction Engine LIVE

Technical Analysis

AI-powered pattern recognition and multi-timeframe analysis.

Fundamental Analysis

Deep analysis of economic indicators using NLP.

Scalping Strategies

High-frequency signals for volatile markets.

AI Trading Agents

Autonomous agents that execute trades 24/7.

Supported Markets

Crypto
Forex
Stocks
Commodities
Indices

Publications & Research

Detecting Community Structure in Large Scale Networks

Research on advanced algorithms for community detection in large-scale networks, utilizing node embedding and graph clustering techniques for enhanced detection and visualization using Graph Neural Networks (GNN).

Graph Neural NetworksCommunity DetectionNetwork Analysis

Let's Connect

Interested in collaboration, consulting, or opportunities?

Contact Information

Telegram @meb2026
Personal Site meb2026.ir
Location Tehran, Azadi Street, Iran