Roozbeh Bandpey

Machine Learning Engineering Manager at Accenture Applied Intelligence

• Design, implementation and rollout of Kubernetes microservice infrastructure for enterprise recommendation platform • Led the architecture design and presales effort for self-driving cars safety testing pipelines • Solution architect at third layer vehicle data collection use case. Planned and executed microservice migration with high availability and zero downtime • Increased efficiency of customer data science teams by implementing MLOps workflow • Delivery Lead for customer engagements related to MLOps

• Delivered an event-driven machine learning pipeline to production for level 4/5 autonomous driving use case • Led architecture design and implementation of MLOps pipeline for enterprise ticketing e-mail bot • Design and implementation of machine learning pipelines for predictive maintenance and computer vision use cases • Held webinars on cloud computing, NLP and MLOps • Led data science team for delivery of automatic damage detection of airbag capsules by analyzing CT 3D imagery with Mask R-CNN

• Developed tools for NLG, paraphrasing, and automated slot filling • Led system design for modeling Bixby dialog flows and dialog policy management • Managed and supervised dev team and language experts for continuous delivery of NLG • Design and Implementation of data ingestion pipelines for NLG • Led development effort for automated testing/maintenance frameworks for NLG • Communication liaison for process alignments in distributed teams in a fast-paced environment

Diesel Gasolin Systems R&D (DGS-ES/EXN2) • Developed real-time data converter and plotter of exhaust sensor’s output stream • Developed Databases for maintenance tracking, tracking tests on temperature sensors and exhaust sensors

Joint operation with Marlik Co. and Tourism Organization • Developed integrated web application for hotel reservation • Designed test and deployment plans • Communication liaison between developers and stakeholders

• Developed transport and warehousing management software with C#, .Net Framework and MS SQL

Concentration: Machine Learning, Deep Learning, Statistical Natural Language Processing, Social Media Analysis, Text Mining, Information Extraction, Information Retrieval, Distributional Semantics, Sentiment Analysis, Emotion Analysis

Concentration: Software Engineering, Software Development Methodologies, Web Application Development, Theoretical Artificial Intelligence