Saeid Hedayati
Senior Machine Learning Engineer @Accenture
Signup · Get unlimited contacts
WORK HISTORY
Senior Machine Learning Engineer @Accenture
Berlin, DE
Architecting, developing and deploying AI solutions across various industries, leveraging Generative AI (GenAI) and Machine Learning Operations (MLOps) best practices to ensure scalable, production-ready models- Designing and optimizing end-to-end AI pipelines, including ETL, data engineering, and cloud infrastructure, integrating on-premises and cloud data sources for real-time analytics- Implementing cost-effective AI strategies, enhancing model deployment, monitoring, and cloud efficiency, reducing operational expenses while improving performance and scalability- Bridging the gap between technical and non-technical stakeholders, delivering clear, impactful presentations that influence strategic AI adoption and deployment decisions.
EDUCATION
Sharif University of Technology
Bachelor of Science (B.Sc.), Industrial Engineering - Project Management
Karlsruhe Institute of Technology (KIT)
Master of Science (M.Sc.), Industrial Engineering - Data Analysis & Business Intelligence
ABOUT SAEID HEDAYATI
Driving Business Growth Through AI, Machine Learning & Scalable Data SolutionsI am a Senior Data Scientist with a proven track record of building and deploying scalable machine learning and GenAI solutions, and optimizing MLOps workflows. My expertise lies in designing and deploying ML systems at scale, enhancing business performance through data-driven decision making, and leading end-to-end machine learning projects. What I Do Best- MLOps and AI Deployment → Led the implementation of 5 scalable ML pipelines, reducing deployment time and enhancing operational efficiency- Generative AI and NLP → Designed LLM-powered applications for 3 projects that drove automation and improved user experiences- Big Data Engineering and Cloud → Built scalable ETL pipelines processing terabytes of data across Azure, AWS, and GCP environments- Business Impact Through AI → Developed a deep learning-based anomaly detection system at BMW, reducing post-treatment costs by 75% and repair times by 66%- Optimizing Workflows → Created a Python and Azure-based search engine at Accenture, reducing bid search time by 20x and eliminating delays in public vendor responses. Tech Stack & Specialties- Programming: Python, SQL- ML and Deep Learning Frameworks: PySpark, Pandas, scikit-learn, PyTorch, Keras and TensorFlow- GenAI (LLM) and Agentic Framework: LangChain, Langfuse and LangGraph- Big Data and Cloud: Azure, AWS, GCP, Databricks, Apache Spark- MLOps and Monitoring: MlFlow, DVC, Git, CI/CD (GitHub Actions, GitLab and Azure DevOps)- Databases: SQL, NoSQL (MongoDB, PostgreSQL, MySQL, Microsoft SQL Server) and vector databases (ChromaDB, pgvector)- Containerization and Orchestration: Docker, Kubernetes, Apache Airflow- Data Visualization: Power BI Interests inGenerative AI, Deep Learning, NLP, Anomaly Detection, Computer Vision CollaborationI thrive in cross-functional, fast-paced environments, working alongside product managers, data engineers, and business leaders to drive AI adoption and innovation. I am also an active contributor to internal data science communities, sharing insights and best practices to accelerate knowledge-sharing.🤝Let’s Connect!I am actively exploring new opportunities where I can leverage my expertise in AI, machine learning to create scalable, high-impact solutions. If you are looking for a results-driven AI professional, let’s chat!
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.