Mohammad Eshghi

• Applied deep learning techniques for advanced computer vision tasks to enhance image understanding.
• Leveraged distributed computing platforms for optimized performance and efficient task execution.
• Implemented OCR technology to extract textual data from images.
• Developed algorithms for graph data extraction from diverse graph types and text sources.
• Designed and implemented machine learning models for clustering, classification, regression, and time series analysis.
• Collaborated with cross-functional teams to automate ML workflows, achieving faster iterations and reproducibility.
• Streamlined the end-to-end machine learning lifecycle by integrating MLOps best practices, ensuring smooth deployment, and maintenance of models.
• Utilized advanced statistical methods to identify discrepancies between training and real-world data, ensuring models remained robust and accurate.
• Regularly reviewed model outputs and metrics, initiating recalibration procedures when necessary to uphold model integrity.

Technical skills acquired: Large Language Models (LLM), High Performance Computing, Deep Learning, Computer Vision, Machine Learning, PyTorch, Data Analytics

Utilized spatial clustering to identify spatiotemporal changes and/or user behavior on Maps

Technical skills acquired: Machine learning, Big Data Analysis

Researched on generative vision models as a part of Microsoft Grand Challenge.
GANs and semi-supervised learning for semantic image segmentation. Application: remotely-sensed imagery for agriculture.

Technical skills acquired: High Performance Computing, Deep learning, Semi-supervised learning, Satellite imagery, Computer Vision, Machine Learning, PyTorch

Created a big data pipeline to prioritize map features based on real-world activityCreated a big data pipeline to prioritize map features based on real-world activity

Technical skills acquired: Hadoop, Big Data Analysis, Scala programming language

Linked SQL-Server and ArcGIS using ArcSDE for Database of Ministry of Power; Technologies: ArcGIS Desktop, MSSQL
Analyzed National Power Database: spatial analysis including spatial suitability analysis, missing data imputation and geostatistics

Technical skills acquired: Databases, GIS, Geostatistics