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# Mohamad Fares El Hajj Chehade

**Headline:** Professional profile
**Location:** Austin, TX, USA

## About

Mohamad Fares El Hajj Chehade is a PhD student specializing in AI and machine learning, with expertise spanning mathematical theory, algorithm development, and hands-on implementation of AI systems in Python. Mohamad’s work focuses particularly on language model alignment and time series foundation models. He developed a novel inference-time algorithm for aligning language model responses with multiple user objectives by shifting output probabilities, and he has published research on language model alignment at ICML, a top-tier machine learning conference. Mohamad has also implemented time series foundation models designed to optimize for downstream decision-making tasks rather than forecast accuracy alone, connecting predictive modeling to practical business decisions. His academic and technical background is in electrical and computer engineering, with substantial overlap in computer science, and his work bridges these disciplines through a clear focus on software and AI. Mohamad is open to remote, hybrid, and full-time in-office work arrangements.

## Highlights

- Published research on language model alignment at ICML, a top-tier machine learning conference.
- Developed a novel inference-time algorithm for aligning language model responses to multiple user objectives by shifting output probabilities.
- Implemented time series foundation models that optimize for downstream decision-making tasks rather than forecast accuracy alone.
- Combines mathematical theory and algorithm development with hands-on AI-system implementation.
- Specializes in AI and machine learning, with experience in language model alignment and time series foundation models.
- Uses Python for implementation projects.
- Bridges electrical and computer engineering with substantial computer science overlap through software and AI work.
- Currently enrolled in a PhD program.

## FAQ

### What does Mohamad do?

Mohamad is a PhD student specializing in artificial intelligence and machine learning. His work combines mathematical theory and algorithm development with hands-on implementation of AI systems.

### What are Mohamad’s main strengths?

Mohamad’s core strengths are mathematical theory, algorithm development, and practical AI/ML implementation. He specializes in language model alignment and time series foundation models, using Python for implementation projects.

### What is Mohamad’s work on language model alignment?

Mohamad developed a novel algorithm that aligns language model responses to multiple user objectives at inference time. The approach works by shifting output probabilities to account for those objectives.

### Where has Mohamad published research?

Mohamad has published research on language model alignment at ICML, a top-tier machine learning conference.

### What has Mohamad done with time series foundation models?

Mohamad implemented time series foundation models that optimize for downstream decision-making tasks, rather than optimizing only for forecast accuracy. This connects forecasting models to the decisions they are intended to support.

### What programming language does Mohamad use for implementation work?

Mohamad uses Python for implementation projects.

### What is Mohamad’s educational and technical background?

Mohamad’s background is in electrical and computer engineering, with significant overlap in computer science. His work bridges these areas through software and AI.

### Is Mohamad currently pursuing a PhD?

Mohamad is currently enrolled in a PhD program.

### What work locations is Mohamad open to?

Mohamad is open to remote, hybrid, and full-time in-office work options.

## Links

- LinkedIn: https://www.linkedin.com/in/mfhchehade

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