Mahdi Ebrahimpour
Head of Data & AI
Tehran
Summary
Innovative Data Engineer and Generative AI Specialist recognized for transforming complex data challenges into impactful solutions, leveraging over 20 years of extensive experience in scalable architectures and machine learning development.
Overview
7
7
years of professional experience
6
6
Certifications
Work History
Head of Data & AI
DBA
01.2024 - Current
- Engineered automated ETL processes using Python, streamlining data migration across systems
- Developed and maintained a sophisticated data lakehouse and data warehouse, enhancing organizational analytics capabilities
- Implemented web crawlers to efficiently gather and aggregate large datasets from various online sources
- Created a conversational AI chatbot powered by large language models, improving user interaction and data retrieval efficiency
- Established an MLOps pipeline with Kubeflow and MLflow, optimizing the deployment and management of ML models efficiently
Data Architect
WEPA
01.2024 - 03.2024
- Designed a robust architecture for real-time data processing utilizing Flink and Kafka within the Azure cloud ecosystem
- Integrated NoSQL databases to enhance data storage flexibility and retrieval efficiency in streaming applications
- Collaborated with cross-functional teams to establish best practices for data management and processing standards
- Implemented comprehensive logging and monitoring for data pipelines, ensuring operational reliability and data integrity
Data Engineer
PD Technologies
02.2020 - 01.2024
- Successfully launched a 21-node cluster utilizing technologies including Kafka, MongoDB, and Spark, enhancing data processing capability
- Architected complex data solutions using Lambda, Kappa, and Zeta architectures, promoting system scalability and reliability
- Developed containerized applications using Kubernetes and Docker for effective orchestration and resource management
- Executed graph analysis using advanced tools, leading to actionable insights and enhanced data understanding
Data Scientist
MAHAK
01.2022 - 05.2022
- Applied NLP techniques on large datasets to enable semantic search capabilities, improving user query responses
- Developed and tested various representation learning models including Transformers, significantly advancing the model's accuracy
- Conducted detailed anomaly detection analyses, providing key insights for data-driven decision making within the organization
Machine Learning Researcher
MAHAK
01.2019 - 03.2020
- Led research and development efforts in face detection technologies, improving accuracy and reducing processing time
- Utilized deep learning frameworks such as TensorFlow and Keras to build complex models for image recognition tasks
- Explored geospatial data analysis techniques to deliver innovative visualizations and insights
Big Data Architect
MAHAK
11.2017 - 03.2020
- Developed and implemented microservice architectures using Docker and Kubernetes, allowing for agile development cycles
- Directed efforts on streaming processing architectures, utilizing tools such as Apache Flink and Kafka for efficient data flow management
Education
Master's degree - undefined
K. N. Toosi University of Technology
Bachelor of Science (B.S.) - undefined
Shamsipour University
Skills
Artificial Intelligence
undefinedCertification
Advanced topics in CNN & RNN, ClassVision, 2017
Timeline
Head of Data & AI
DBA
01.2024 - Current
Data Architect
WEPA
01.2024 - 03.2024
Data Scientist
MAHAK
01.2022 - 05.2022
Data Engineer
PD Technologies
02.2020 - 01.2024
Machine Learning Researcher
MAHAK
01.2019 - 03.2020
Big Data Architect
MAHAK
11.2017 - 03.2020
Master's degree - undefined
K. N. Toosi University of Technology
Bachelor of Science (B.S.) - undefined
Shamsipour University
Advanced topics in CNN & RNN, ClassVision, 2017
Deep Learning Networks, ClassVision, 2017
Artificial Intelligence: Philosophy, Ethics & Society, Sharif Uni, 2016
Computer Vision & Robotics, Kntu, 2015
Advanced Big Data Analytics, Fad.ir, 2021
Python in Data Science Applications, NeuroChallenge, 2018
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