Alireza Javaheri Email & Phone Number

Vienna, At

Vienna, Austria

 IBM Data Engineering course on Coursera covering linux and shell scripting, Big Data with Apache Spark, MongoDB & Cassandra, ETL and ELT, Apache Airflow and Apache Kafka, Data warehouse IBM DevOps Engineering Professional course on Coursera covering cloud computing, agile and scrum, Git, Container & Docker & Kubernetes, microservices and serverless, CI/CD

Vienna, Austria

 Architected and validated machine learning models, utilizing both supervised and unsupervised learning techniques to achieve high-performance predictive models Spearheaded the training and deployment of BERT, a Large Language Model (LLM), into production for Natural Language Processing (NLP) solutions, enhancing text analytics capabilities Leveraged vectore database Pinecone to efficiently store and retrieve BERT embeddings for large-scale semantic search and NLP tasks, improving retrieval accuracy and system scalability in production Orchestrated the deployment of machine learning models using Flask, RESTful APIs, Docker, Kubernetes, Git, and AWS Cloud to streamline production environments Automated end-to-end machine learning workflows using Apache Airflow, integrating ETL processes to improve data pipeline scalability and efficiency Extracted insights by querying large datasets through SQL and NoSQL databases, enabling data-driven decision-making across multiple departments Refined data quality through comprehensive cleaning, transformation, and the development of automated data pipelines to support robust analytics Conducted exploratory data analysis (EDA) by visualizing and selecting critical features, ensuring optimal model inputs and actionable business insights Enhanced model performance through continuous evaluation, hyperparameter optimization, and rigorous validation techniques Processed large volumes of data using big data technologies, ensuring efficient handling of diverse datasets for analysis and reporting Led Agile and Scrum-based projects to ensure efficient and timely delivery of data solutions, improving project workflows and overall outcomes

Cléon, Normandy, France

 Elevated data quality including data cleaning, data preprocessing, and pipeline development Engineered features including creating features, selecting features, and dimensionality reduction Optimized model performance through hyperparameter tuning Developed and continuously evaluated model

Cléon, Normandy, France

 Integrated artificial intelligence (AI) technologies into mechanical processes to optimize performance and troubleshoot operational challenges Designed and implemented AI-assisted solutions for warehouse and internal logistics architecture, enhancing supply chain efficiency and reducing lead times Collaborated with cross-functional teams to develop and execute data-driven strategies, ensuring alignment with organizational goals Analyzed process data to generate actionable insights, enabling informed decision-making and continuous improvement in engineering and logistics operations

 Architected and personalized OpenFOAM C++ software for complex simulation models

Wilhelmshaven, Lower Saxony, Germany

 Implemented OpenFOAM C++ object-oriented software for wind farm simulation and improved performance by around 30%

Master Of Science - Ms, Wind Engineering

Activities and Societies: This inter-disciplinary degree was fully offered in English in an international environment in Kiel, Germany..

Bachelor Of Science - Bs, Mechanical Engineering