Mohammad Z.

• Conduct research in the use of large language models for novel Finttech applications
• Conduct research in Machine Learning and statistical modeling, with a focus on developing novel algorithms and methodologies for investment management
• Design and implement experiments to evaluate the performance of Machine Learning models
• Collaborate with other members of the research team to develop and refine algorithms and models Work closely with the engineering team to implement Machine Learning models in production
• Stay up-to-date with the latest developments in Machine Learning research and apply them to our platform
• Communicate research findings and methodologies to both technical and non-technical stakeholders

-Conduct research in the use of large language models for novel Finttech applications -Conduct research in machine learning and statistical modeling, with a focus on developing novel algorithms and methodologies for investment management

• Design and implement experiments to evaluate the performance of machine learning models
• Collaborate with other members of the research team to develop and refine algorithms and models Work closely with the engineering team to implement machine learning models in production
• Stay up-to-date with the latest developments in machine learning research and apply them to our platform
• Communicate research findings and methodologies to both technical and non-technical stakeholders

• Finetuned LLM/LVM models for diagnosing photogrammetry issues (LLAVA, GPT-4, SAM).
• Implemented end-to-end ML pipelines to automate the evaluation of 3D scan quality.

Aviva Canada Inc. is a Canadian property and casualty insurance company and a wholly owned subsidiary of the UK-based Aviva plc.

• Supported the Marketing Science & Customer Lifetime Value (LTV) agile team in digital transformation initiatives.
• Conducted analyses to improve lead quality through A/B testing.
• Built Machine Learning models to predict and enhance conversion and retention ratios.
• Optimized marketing campaigns and sales channels by developing attribution and lead-scoring models.
• Enhanced annual digital marketing sales performance by $2 million using an innovative target ad simulation-optimization approach.
• Developed marketing KPI monitoring tools to transform complex data sets into actionable insights, enabling data-driven critical business decisions and informing long-term user growth strategy.
• Collaborated on prototyping a local LLM-based ChatBot using LangChain and LLAMA for fast and efficient augmented information retrieval and decision-making.

TES has been acquired by TNS Group. TNS was established in 2017 and provides consulting services focused on transportation safety.

• Developed an API service (HitSpot.webflow.io) to provide risk scores for locations with continuous data collection and processing deployed on AWS

• Led phase 1 of the Transport Canada AI project, enhancing crash predictive models with cutting-edge machine learning techniques.

• Designed customizable CGAN and YOLO models for safety anomaly detection

Smart Construction Group is a construction consulting company based in Iran.

-Optimized green marketing ROI through data collection, simulation, and analytics using Python/SQL

• Developed an Agent-Based simulation framework for modeling behavior changes in building

• Designed GAB optimization framework, improving green marketing program ROI by 60%