Dr. Samuel K. Carter

⭐⭐⭐⭐⭐ 5.0

(7.9K+ Satisfied Students)

AVAILABLE

Dr. Samuel K. Carter earned a PhD in Electrical Engineering, an MS in Computer Science, and a BS in Mechanical Engineering, aligning with Engineering & Technology through research and practice.

As a native United States academic writer trained in Engineering & Technology, Dr. Samuel K. Carter brings a robust portfolio across AI, Civil, CS, Cybersecurity, Data Science, Electrical, Mechanical, and Software Engineering. Holding a PhD, an MS, and a BS across engineering disciplines, he has supported hundreds of graduate and undergraduate projects, delivering clear, evidence-based analyses, rigorous methodology, and polished prose. His experience spans assignments, research papers, literature reviews, coursework, presentations, and thesis proposals, including design-focused analyses, algorithmic explanations, and data-driven experiments. He emphasizes conceptual clarity, source integrity, and structured argumentation that aligns with scholarly standards and real-world engineering practice.

With a collaborative approach, he tailors guidance to individual learners, offering actionable feedback that strengthens theory-to-practice connections. He leverages semantic-rich explanations, illustrative examples, and transparent revision plans to help students master complex topics across AI, data science, and software architecture while maintaining academic integrity and original thinking in diverse contexts.

Academics:

Artificial Intelligence, Civil Engineering, Computer Science, Cybersecurity, Data Science, Electrical Engineering, Mechanical Engineering, Software Engineering

Expertise:

Assignment, Coursework, Literature Review, Presentation, Research Paper, Thesis Proposal

The Buzz from Students:

Software Engineering Presentation

Great presentation; concise architecture overview and practical testing tips for peers.
— Aarav Singh, India

⭐⭐⭐⭐⭐ 5.0

Electrical Engineering Assignment

Solid assignment work; precise calculations and helpful diagrams for design decisions.
— Ana Sousa, Portugal

⭐⭐⭐⭐⭐ 5.0

Artificial Intelligence Thesis Proposal

Clear thesis directions; possible to refine methodology; great start for defense.
— Diego Morales, Mexico

⭐⭐⭐⭐⭐ 5.0

Data Science Research Paper

Data science methods were well-justified; discussion of limitations thoughtful, and reproducibility notes are appreciated.
— Olivia Chen, Singapore

⭐⭐⭐⭐⭐ 5.0

Civil Engineering Presentation

Presentation was engaging; explained structural modeling with practical examples and clear visuals.
— Daniel Kim, South Korea

⭐⭐⭐⭐⭐ 5.0

Mechanical Engineering Literature Review

Excellent literature review; strong cross-disciplinary links to manufacturing processes globally.
— Emma Johansson, Sweden

⭐⭐⭐⭐⭐ 5.0

Electrical Engineering Thesis Proposal

The thesis proposal reads well; I’d add more on validation strategies.
— Raj Patel, India

⭐⭐⭐⭐⭐ 4.0

Software Engineering Coursework

Strong coursework guidance; helped me structure algorithms and software design.
— Grace Brown, Australia

⭐⭐⭐⭐⭐ 5.0

Artificial Intelligence Presentation

Audience-friendly talk; explained AI concepts clearly, tying theory to practical demonstrations.
— Isabella Rossi, Italy

⭐⭐⭐⭐⭐ 5.0

Data Science Research Paper

The data analysis section was robust; visuals enhanced understanding significantly.
— Noah Smith, United States

⭐⭐⭐⭐⭐ 5.0

Software Engineering Assignment

Solid software engineering notes; I can apply this structure to my own work.
— Sarah Patel, Canada

⭐⭐⭐⭐⭐ 5.0

Civil Engineering Literature Review

Impressive synthesis across civil engineering literature; clear mapping to current practice.
— Yuki Nakamura, Japan

⭐⭐⭐⭐⭐ 5.0

Software Engineering Thesis Proposal

The thesis proposal shows strong software architecture planning and test strategies.
— Hannah Williams, United Kingdom

⭐⭐⭐⭐⭐ 5.0

Data Science Research Paper

Data science methods explained clearly; results reproducible with the shared code.
— Marco Vitale, Italy

⭐⭐⭐⭐⭐ 5.0

Cybersecurity Coursework

Great cybersecurity coursework; practical examples helped me grasp attack vectors.
— Laura Kim, South Korea

⭐⭐⭐⭐⭐ 5.0

Electrical Engineering Presentation

The presentation hit the key electrical concepts with crisp explanations.
— John Miller, United States

⭐⭐⭐⭐⭐ 5.0

Artificial Intelligence Research Paper

Excellent AI system critique; methods section is precise and ready for publication.
— Aisha Khan, Pakistan

⭐⭐⭐⭐⭐ 5.0

Computer Science Assignment

Strong CS foundations; explanations were accessible and easy to follow during problem-solving.
— Kyle Nguyen, Vietnam

⭐⭐⭐⭐⭐ 5.0

Software Engineering Literature Review

Well-structured literature review; identified gaps and linked to current practice effectively.
— Sofia Rossi, Italy

⭐⭐⭐⭐⭐ 5.0

Mechanical Engineering Thesis Proposal

Thesis proposal criteria well-defined; I’d like more on experimental validation, please.
— Daniel Park, South Korea

⭐⭐⭐⭐⭐ 5.0

Civil Engineering Assignment

Clear structural analysis steps; practice-ready insights for my next assignment.
— Emily Carter, United States

⭐⭐⭐⭐⭐ 5.0

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