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MS in Computer Science, Founding ML Engineer | Python, ML, CS Tutor
Jason L.

5.0 (2 ratings)

6 hours tutoring

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About Jason

Bio

Founding ML engineer with 9 years in computer science, an MS in Computer Science from Eastern Washington University, and a sole-author arXiv preprint on graph neural networks for natural language inference. I also hold dual BS degrees in Computer Science and Mathematics from Gonzaga University (Cum Laude, 2023), and I'm starting a PhD in Computer Science at Arizona State University this fall.

At Intellipat, where I've worked since 2024, I've mentored new engineers through unfamiliar parts...

Founding ML engineer with 9 years in computer science, an MS in Computer Science from Eastern Washington University, and a sole-author arXiv preprint on graph neural networks for natural language inference. I also hold dual BS degrees in Computer Science and Mathematics from Gonzaga University (Cum Laude, 2023), and I'm starting a PhD in Computer Science at Arizona State University this fall.

At Intellipat, where I've worked since 2024, I've mentored new engineers through unfamiliar parts of a production codebase, and I've taught as a teaching assistant at EWU. My approach is the same in both settings: find the gap between what a student already knows and what they're trying to learn, give them enough structure to see how the pieces fit, then let them work through problems themselves so the learning sticks.

With 9 years of computer science, 7 of Python, and 6 of machine learning, I'm strongest in Python, machine learning and deep learning, and core computer science (algorithms, data structures, discrete math). I work well with first-time programmers, students trying to catch up in the middle of a course, and graduate students working through ML or NLP concepts that aren't clicking. Reach out and let me know what you're working on, and I'll tailor our sessions to it.

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Education

Gonzaga University
Computer Science
Eastern Washington University
Masters
Arizona State University
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Approved Subjects

AWS

AWS

2 years building and running production systems on AWS as a founding ML engineer, where the entire stack is AWS-based. I work daily with EC2, ECS, S3, Lambda, DynamoDB, and Batch for model training, deployment, and inference, and with Amplify for application deployment. I hold an MS in Computer Science from EWU and am starting a CS PhD at Arizona State this fall. I tutor the practical side of AWS: core compute and storage (EC2, ECS, S3), serverless functions (Lambda), NoSQL data (DynamoDB), batch and ML workloads, and how the pieces fit into a real deployment, focusing on the mental model of how cloud services connect rather than memorizing console menus.
C++

C++

7 years of C++, the primary language across my core undergraduate Computer Science courses at Gonzaga University (data structures, systems programming, computer organization) and in courses I later worked as a teaching assistant for. I hold an MS in Computer Science from EWU, with a CS PhD at Arizona State starting this fall, and I've used C++ for low-level memory management, object-oriented design, template programming, and the STL. I tutor introductory and intermediate C++ topics: syntax, pointers and references, memory management, classes and inheritance, polymorphism, templates, and the standard template library, focusing first on a clear mental model of memory and pointers, which is the hurdle most beginners hit.
Computer Programming

Computer Programming

9 years of programming, starting in high school (AP Computer Science, scored 5) and spanning Java, Python, and C++ across my dual BS in Computer Science and Mathematics from Gonzaga University (Cum Laude), an MS in Computer Science from EWU, and 2 years as a founding ML engineer. I've worked as a teaching assistant supporting students through programming coursework in one-on-one and small-group office hours, and I'm starting a CS PhD at Arizona State this fall. I tutor the fundamentals that carry across every language: variables and types, control flow, functions and scope, recursion, arrays and data structures, debugging, and object-oriented design, as well as the specific languages I use most (Python, C++, Java). I focus on building a clear mental model of how code executes so students can reason about programs rather than memorize syntax.
Computer Science

Computer Science

9 years of computer science experience. Dual BS degrees in Computer Science and Mathematics from Gonzaga University (Cum Laude) and an MS in Computer Science from Eastern Washington University, with a CS PhD at Arizona State starting this fall and a sole-author arXiv preprint on graph neural networks for natural language inference. I spent multiple quarters as a teaching assistant at EWU, supporting students through programming and machine learning coursework in one-on-one and small-group office hours, and I've spent 2 years as a founding ML engineer. I focus on building from what a student already knows rather than restarting from scratch.
Data Science

Data Science

6 years across the full data science workflow, from data ingestion and preprocessing through modeling, evaluation, and production deployment, including 2 years as a founding ML engineer. My MS thesis processed hundreds of gigabytes of text through custom cleaning, parsing, and graph-construction pipelines, and professionally I've built retrieval systems, embedding pipelines, and evaluation harnesses that measure model behavior against expert ground truth. I hold an MS in Computer Science from EWU, with a CS PhD at Arizona State starting this fall. I tutor core data science topics: NumPy, Pandas, scikit-learn, statistics, data cleaning and exploratory analysis, supervised and unsupervised learning, and model evaluation, emphasizing the analytical reasoning behind the techniques rather than the tools themselves.
Data Structures

Data Structures

6 years working with data structures, including time as a teaching assistant for EWU's Data Structures course, where I ran office hours and worked one-on-one on arrays, linked lists, trees, graphs, hash tables, heaps, and algorithm analysis (Big O, recursion, sorting, searching, dynamic programming). I use these daily as a founding ML engineer (retrieval pipelines, indexing, graph representations) and built on them in my MS thesis on graph-based NLP. I hold an MS in Computer Science from EWU and a BS in CS from Gonzaga (Cum Laude), with a CS PhD at Arizona State starting this fall. I focus on building intuition for when each structure is the right choice rather than memorizing implementations.
Linguistics

Linguistics

My research is in natural language processing, the computational side of linguistics: a sole-author arXiv preprint on graph neural networks for natural language inference, undergraduate research on dependency-parse-based machine translation, and an MS thesis on graph-based representations of language. I hold a BS in Mathematics and a BS and MS in Computer Science, and I'm starting a CS PhD at Arizona State this fall. I'm strongest tutoring computational linguistics and NLP (syntax and dependency parsing, semantics and meaning representation, word embeddings, and language models) and the syntax and semantics covered in introductory linguistics courses. For students working on the NLP or computational side of a linguistics or CS course, this is my research area.
Linux

Linux

5 years working in Linux daily. That time covers shell scripting, remote server administration, package management, file permissions, networking, and SSH-based development. I hold an MS in Computer Science from EWU, with a CS PhD at Arizona State starting this fall, and I use Linux constantly as a founding ML engineer. I'm comfortable both at the beginner level (terminal basics, file system navigation, common command-line tools) and the systems level (process management, debugging, log analysis, shell pipelines), and I focus first on fluent command-line habits and a clear mental model of how the file system and processes work.
Machine Learning/ AI

Machine Learning/ AI

6 years of machine learning and deep learning, including 2 years building end-to-end production AI systems as a founding ML engineer: retrieval pipelines, embedding-based search, LLM-based scoring, evaluation harnesses, and generative-AI and agentic systems built on large language models. I started in machine learning and NLP research in 2020, I have a sole-author arXiv preprint on graph neural networks for natural language inference, an MS in Computer Science from EWU, and a CS PhD at Arizona State starting this fall. I've worked extensively with PyTorch, transformers, sentence embeddings, and modern LLM and agent tooling. I tutor every level from introductory ML concepts (supervised vs unsupervised learning, loss functions, train/test splits, evaluation metrics) through deep learning, natural language processing, and generative AI (large language models, prompting, retrieval-augmented generation, and agents), focusing on why a technique works rather than just how to apply it.
Python

Python

7 years of Python, my primary language and the one I use daily as a founding ML engineer building production systems: retrieval pipelines, embedding-based search, LLM and agent tooling, evaluation harnesses, and data work in NumPy, Pandas, and PyTorch. I've used Python across my undergraduate and graduate coursework and research, I hold an MS in Computer Science from EWU, and I'm starting a CS PhD at Arizona State this fall. I tutor Python at every level, from first-time programmers learning syntax, control flow, functions, and data structures, through object-oriented programming, common idioms and gotchas, and applied work in data science and machine learning. I focus on building habits and mental models that transfer rather than just getting one program to run.
Robotics

Robotics

I built the control system for Gonzaga University's Autonomous Mars rover project in ROS2, developing the software that coordinated the rover's movement and subsystems. I hold a BS in Computer Science and a BS in Mathematics from Gonzaga (Cum Laude) and an MS in Computer Science from EWU, with a CS PhD at Arizona State starting this fall, and I work as a founding ML engineer. I'm strongest tutoring the software and control side of robotics: ROS and ROS2 (nodes, topics, services, and the publish-subscribe model), robotics programming in Python and C++, control-system logic, and integrating sensors and actuators. I focus on the software architecture and the reasoning behind how the pieces communicate, which is where most students building their first robot get stuck.
Calculus
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Ratings and Reviews

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Reviews

awesome teacher. Very thorough, and patient.

Thorough explanations were given, patient, and easy backtracks. Along with detailed instructions, and flexible timing. Definitely what I was looking for!

Tyler, 1 lesson with Jason