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Mahrad Pisheh Var

@mahradpishehvar

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Machine learning researcher with a PhD in Computer Science.

United Kingdom

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can leverage my machine learning expertise to solve complex problems and contribute to impactful projects.

I am a dedicated machine learning researcher with a PhD in Computer Science, specializing in developing generative models and foundational architectures for high-dimensional data. My expertise lies in building scalable and interpretable AI systems that integrate structured sequences, time series, and biological signals. I have successfully designed and implemented transformer-based models with memory augmentation, autoregressive generation, and reinforcement learning components to address real-world challenges in genomics, hydrology, and biomedical AI.

Throughout my career, I have demonstrated a strong commitment to advancing the field of generative AI. My projects include the development of custom multimodal models like MemoFormer for sequence forecasting and structured generation. I am proficient in Python, PyTorch, TensorFlow, and cloud ML infrastructure, and I have created large-scale pipelines that optimize performance while ensuring safety, transparency, and reliability. I thrive in collaborative environments and am passionate about contributing to cross-functional teams to drive impactful AI solutions.

Experience

Work history, roles, and key accomplishments

Current

Freelance Machine Learning Researcher

Current

Ground-Water Forecasting and Biomedical AI

Apr 2025 - Present (3 months)

Designed and developed advanced machine learning models (CNNs, RNNs, GANs) for applications in genomics, hydrology, and geothermal site detection. Managed end-to-end model workflows using Git, CI/CD pipelines, and cloud infrastructure (AWS, GCP), supporting deployment on scalable and reliable systems.

CNN RNN Git CI CD AWS GCP Computer Vision MemoFormer Neurofolding

Software Engineer

Evolution Online LLC

Oct 2024 - Apr 2025 (6 months)

Engineered and optimized backend systems to support high-performance, low-latency online gaming services. Collaborated with DevOps and infrastructure teams to ensure scalability, reliability, and security of the gaming platform and used Jira in bug report.

Backend Development DevOps Jira CI CD Scalability Optimization

AI Research Student (PhD Researcher)

University of Essex

Jan 2020 - Jun 2024 (4 years 5 months)

Designed and implemented memory-augmented reinforcement learning (RL) agents for decision-making in uncertain environments. Supervised and mentored undergraduate and master’s student projects, providing guidance on model architecture, coding best practices, and reproducibility standards.

Reinforcement Learning Mentorship Data Visualization Matplotlib SeaBorn Technical Writing

Education

Degrees, certifications, and relevant coursework

University of Essex

PhD Computer Science, Computer Science

Activities and societies: Supervised and mentored undergraduate and master’s student projects; Developed and delivered training sessions for junior researchers on AI model development, software engineering principles, and reproducibility workflows; Built interactive dashboards that streamlined model evaluation and result presentation.

Completed a PhD in Computer Science, focusing on minimalistic adaptive dynamic-programming agents for memory-driven exploration. Designed and implemented memory-augmented reinforcement learning agents for decision-making in uncertain environments. Published peer-reviewed research on cognitive reinforcement learning and memory-augmented agents.

University of Essex

MSc Computer Games, Computer Games

Grade: Distinction

Achieved a Distinction in the Master of Science program in Computer Games. Gained advanced knowledge in game development, design, and related technologies.

University of Essex

BSc Computer Science, Computer Science

Grade: First-Class Honours

Graduated with First-Class Honours in the Bachelor of Science program in Computer Science. Developed a strong foundation in computer science principles and programming.