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Cornell Graduate & UCLA Master’s | Applied AI Engineer Specializing in
Mark M.

4.7 (15 ratings)

82 hours tutoring

Your first lesson is backed by our Good Fit Guarantee
Hourly Rate: $60
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About Mark

Bio

I’m a Cornell University graduate with a master’s degree from UCLA, specializing in AI, machine learning, Python, and modern LLM workflows. I help students and professionals understand and apply today’s most important AI tools — including agentic RAG systems, local LLMs, Gemma, Ollama, and practical AI automation techniques.

My background includes cloud operations, enterprise AI integration, and building real‑world AI applications. This means you learn not just the theory, but how AI is...

I’m a Cornell University graduate with a master’s degree from UCLA, specializing in AI, machine learning, Python, and modern LLM workflows. I help students and professionals understand and apply today’s most important AI tools — including agentic RAG systems, local LLMs, Gemma, Ollama, and practical AI automation techniques.

My background includes cloud operations, enterprise AI integration, and building real‑world AI applications. This means you learn not just the theory, but how AI is actually deployed in production environments. If you want to understand how retrieval‑augmented generation works, how to build local AI agents, or how to use Python to automate workflows, I’ll guide you step‑by‑step.

Students describe my teaching style as patient, structured, and easy to follow. I adapt to each learner’s pace and goals, making complex topics clear and approachable. Whether you’re preparing for a class, advancing your career, or building your own AI projects, I’ll help you gain confidence and real skill through hands‑on examples and practical explanations.

If you want to learn AI, Python, machine learning, or LLM development in a way that’s clear, modern, and directly applicable, I’m here to help you succeed.

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Approved Subjects

Computer Science

Computer Science

I have a Bachelor of Science in Computer Science from Cornell University and more than 30 years of experience designing, developing, and leading enterprise software solutions across healthcare, finance, higher education, biotechnology, and technology organizations. My experience spans software engineering, algorithms, data structures, object-oriented programming, databases, cloud computing, APIs, artificial intelligence, and large-scale systems architecture. In addition to professional software development, I enjoy helping students build a strong conceptual foundation by explaining complex computer science topics in an intuitive, practical way while developing problem-solving and programming skills that translate to real-world applications.
Data Analysis

Data Analysis

I am a Senior Technical Program Manager with a proven track record of using data analysis to drive multi-million dollar enterprise system implementations at institutions like Bank of America. My expertise lies in cleaning, modeling, and visualizing complex datasets using tools such as advanced Excel, SQL, and Python-based NLP pipelines to identify operational bottlenecks and project risks. I specialize in teaching students how to bridge the gap between technical data extraction and strategic business decision-making through the creation of dynamic dashboards and automated reporting workflows. I help learners master everything from foundational statistical analysis to advanced data validation techniques for cloud-scale infrastructures.
Data Science

Data Science

I have more than 30 years of experience leading enterprise data, analytics, and AI initiatives across healthcare, finance, higher education, and biotechnology. My experience includes data modeling, SQL, business intelligence, predictive analytics, data visualization, cloud data platforms, and AI-enabled decision support using tools such as Power BI, Tableau, Azure, and modern data architectures. I enjoy helping students understand both the technical foundations and practical applications of data science, from data preparation and statistical analysis to visualization, machine learning concepts, and communicating insights that drive business decisions.
Data Structures

Data Structures

I earned a Bachelor of Science in Computer Science from Cornell University and have more than 30 years of experience designing enterprise software and solving complex technical problems. My background includes implementing and applying fundamental data structures and algorithms—including arrays, linked lists, stacks, queues, trees, hash tables, graphs, sorting, and searching—in real-world software systems. I enjoy helping students understand not only how these concepts work, but also when and why to use them, strengthening both their programming skills and problem-solving abilities for coursework, technical interviews, and professional software development.
Information Technology

Information Technology

I bring over 20 years of experience in Information Technology across infrastructure, software development, security, cloud/SaaS, and data & analytics. I’ve worked on a wide range of initiatives including system migrations, data Lakehouse architectures, and enterprise reporting solutions using modern tools and platforms. My background allows me to support students with both technical concepts and real-world application across multiple IT domains. I focus on breaking down complex topics into clear, practical guidance that can be applied confidently in assignments or on the job.
Machine Learning/ AI

Machine Learning/ AI

I am a technical leader with extensive experience in deploying practical AI solutions, including building local agentic RAG systems with Gemma and Ollama. My background involves navigating the complexities of machine learning lifecycle management, from clinical NLP pipeline development to implementing AI compliance frameworks for enterprise environments. I specialize in teaching students how to bridge the gap between raw data and actionable intelligence through the use of LLMs, Python-based automation, and advanced prompt engineering. My goal is to help learners master the technical intuition required to architect, validate, and scale AI-driven workflows in real-world scenarios.
Microsoft Outlook

Microsoft Outlook

I have more than 30 years of experience using Microsoft Outlook as part of the Microsoft 365 ecosystem to support executive communications, calendar management, meeting coordination, task organization, and enterprise collaboration. Throughout my career, I've trained teams and business users to improve productivity using Outlook features such as email management, shared calendars, scheduling, contacts, tasks, rules, categories, and integration with Microsoft Teams and other Microsoft 365 applications. I enjoy helping students and professionals develop practical Outlook skills that improve organization, communication, and efficiency in both academic and business environments.
Oracle

Oracle

I am a Technical Program Manager with over eight years of experience implementing and managing complex Oracle-based solutions for major institutions, including Bank of America. My expertise covers Oracle Cloud Infrastructure (OCI), where I have specialized in architectural scaling, security compliance, and large-scale ERP system integrations like Microsoft Dynamics with Oracle databases. I focus on helping students and professionals master the bridge between technical Oracle environments and high-level project execution strategies.
Project Management

Project Management

I am a Senior Technical Program Manager specializing in the end-to-end delivery of complex enterprise systems, including large-scale cloud migrations and AI implementations. Throughout my career at institutions like Bank of America and UCSF, I have mastered the art of bridging the gap between engineering teams and business stakeholders using Agile, Waterfall, and hybrid methodologies. My tutoring approach focuses on teaching students how to navigate the software development life cycle (SDLC) while mastering essential tools like Jira, Confluence, and advanced Excel for project tracking. I help aspiring PMs and professionals develop the strategic mindset needed to manage high-stakes technical roadmaps and mitigate project risks effectively.
Python

Python

I have over a decade of experience using Python for real‑world applications, including AI development, workflow automation, data processing, and building production‑ready tools. My background includes formal training through Cornell University and UCLA, where Python was central to my work in applied computing, machine learning, and modern AI systems. I’ve taught Python to students ranging from complete beginners to graduate‑level learners and working professionals who need to use Python in technical roles. In my professional work, I use Python to build retrieval‑augmented generation pipelines, integrate local LLMs such as Gemma and Ollama, and automate cloud workflows. This gives me a practical perspective that helps students understand not just the syntax, but how Python is used in real projects. My teaching approach is patient, structured, and focused on clarity. I break down concepts into understandable pieces and guide students through hands‑on examples so they can build confidence while learning.
QuickBooks

QuickBooks

With over a decade of hands‑on experience, I bring expert‑level mastery of every major QuickBooks feature, from initial setup and chart‑of‑accounts design to advanced reporting, payroll, inventory, and workflow customization. I’ve trained business owners, bookkeepers, and new users to confidently navigate the platform and apply best practices that improve accuracy and efficiency. My approach focuses on real‑world scenarios, clear explanations, and practical skills that help learners understand not just how QuickBooks works, but why certain processes matter. I specialize in simplifying complex accounting tasks so users can manage their finances with clarity and confidence.
Tableau

Tableau

I have extensive hands-on experience using Tableau to design and deliver complex, interactive dashboards and reports for business and technical audiences. I’ve worked with a wide range of data sources, including relational databases, cloud platforms, and flat files, and understand how to model and transform data effectively for visualization. I’ve also completed formal Tableau training and apply best practices in data storytelling, dashboard design, and performance optimization. I focus on helping students not just build reports, but understand how to structure data and create clear, impactful visualizations.
Algebra 1
Algebra 2
Finance
Microsoft Excel
SQL
Statistics

Examples of Expertise

Mark has provided examples of their subject expertise by answering 1 question submitted by students on Wyzant’s Ask an Expert.

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Ratings and Reviews

Rating

4.7 (15 ratings)
5 star
(14)
4 star
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3 star
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2 star
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1 star
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Reviews

Exceptional Finance and Machine Learning Tutor

Mark is an exceptional tutor who excels at breaking down complex finance, Python, and machine learning concepts into clear, manageable steps. Prior to our sessions, I often felt overwhelmed by advanced quantitative projects involving portfolio analysis, predictive modeling, and coding. However, he consistently provides structured, methodical guidance that makes even the most difficult technical material accessible and practical. He is exceptionally patient, supportive, and genuinely invested in his students' academic progress. I would highly recommend him to anyone looking to strengthen their technical, quantitative, and machine learning skills.

Agastya, 28 lessons with Mark

Extremely determined person

Mark is an extremely determined person. Very knowledgeable and willing to go above and beyond to solve any issues. I’m not easily impressed but Mark definitely exceeded my expectations.

Justin, 8 lessons with Mark

Excel VBA

Mark did a great job at explaining difficult subjects in an easy to understand way. He comes to the session prepared and provides high quality lessons.

Joe, 1 lesson with Mark
Hourly Rate: $60
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