Matin Gathani
Computer Science Student & AI Engineer
Building intelligent solutions with ML models, API integration, and full-stack development. Passionate about software engineering and data-driven innovation.
About Me
Computer Science junior at Arizona State University with a strong foundation in software development, data analysis, and system design. Currently maintaining a 3.67 GPA with coursework in Data Structures, Object-Oriented Programming, Software Analysis & Design, and Software QA & Testing.
Recently completed a Project Internship at Musikaar where I built and optimized ML models using Python, NLP, and tokenization to improve HR data processing workflows. I validated model performance with custom datasets and developed front-end pages with API integration for seamless AI-driven user experiences.
As an Engineering Tutor at ASU, I've mentored 180+ students in programming (Java, Assembly, C++), emphasizing debugging, testing, and problem-solving. I'm passionate about applying AI development and testing skills to solve real-world problems at the intersection of machine learning, software development, and creative problem-solving.
3.67
GPA
180+
Students Tutored
3
Major Projects
Technical Skills
Programming & AI/ML
APIs & Testing
Web Development
Data & Systems
GitHub Contributions
Professional Experience
UGTA – Arizona State University
Spring 2023- Undergraduate Teaching Assistant for FSE 100 and CSE 220.
- Led weekly labs and office hours (30+ students/session) covering C/Java, data structures, and engineering design workflow.
- Designed practice sets and walkthroughs for arrays, pointers, stacks/queues, and recursion; emphasized stepwise tracing.
- Introduced a structured "Reproduce → Isolate → Verify" debugging loop that improved issue resolution time.
- Built small reference projects and test harnesses to help students validate solutions with edge cases.
- Graded programming assignments; provided rubric‑based, actionable feedback focused on correctness and code clarity.
Project Intern – Musikaar
May 2024 – Aug 2024- Built and optimized ML models using Python, NLP, and tokenization to improve HR data processing workflows.
- Validated model performance with custom datasets and applied testing principles to reduce system errors.
- Developed front-end pages and integrated APIs to deliver seamless AI-driven user experiences.
- Partnered with cross-functional teams to debug pipelines, document processes, and support deployment.
Engineering Tutor / Learning Assistant – ASU
Jan 2024 – Present- Mentored 180+ students in programming (Java, Assembly, C++), emphasizing debugging, testing, and problem-solving.
- Guided learners on software lifecycle concepts through hands-on projects and assignments.
- Enhanced communication by translating complex technical topics into clear, accessible explanations.
UGTA – CSE 460 (Software Engineering)
Fall 2025- Undergraduate Teaching Assistant focusing on modern software engineering practices and testing.
- Guided capstone teams on requirements, architecture, and iterative delivery with issue tracking and milestones.
- Ran lightweight code reviews highlighting readability, testability, and defect prevention.
- Introduced CI basics (linting, type checks, unit tests) and deployment checklists for team projects.
- Mentored students on writing maintainable tests (unit/integration) and selecting assertions/fixtures effectively.
Projects
Medical Record System
Designed and implemented a full-stack system using JavaScript, SQL, and Docker to enable structured storage, retrieval, and visualization of patient data. Built database schemas and front-end interfaces to support efficient data management and user interaction.
Maze-Solving Car
Collaborated on an automation system that used block coding and data-driven decision logic to navigate dynamic maze environments. Integrated sensor data and algorithmic decision-making to improve navigation accuracy and path optimization.
Digital Design Key Fob Circuit
Implemented a logic gate circuit using K-map and state diagrams to optimize outputs and system performance. Applied digital design and data modeling principles to ensure reliable and efficient circuit functionality.
Education
B.S. Computer Science
Arizona State University, Tempe, AZ
Expected May 2026
GPA: 3.67
Relevant Coursework: Data Structures and Algorithms, Object-Oriented Programming & Design, Software Analysis and Design, Software QA and Testing, Operating Systems, Applied Linear Algebra, Human-Computer Interaction