Backend Engineer with FastAPI and React Experience

Tallal Mohar

+1-604-***-**** Vancouver, BC *****@***.** github.com/tallalmohar

Education

Simon Fraser University Burnaby, BC

Bachelor of Applied Science, Computer Science and Artificial Intelligence Sept 2021 — Dec 2026

• Relevant Coursework: Advanced Data Structures, Systems Programming, Numerical Analysis, Linear Algebra, Discrete Mathematics, Multivariable & Single Variable Calculus

• Certifications: Google’s Intro to Docker, Linkedin Object-Oriented Python Work Experience

Backend Python Engineer Intern Sept 2025 — Present Synexus Labs San Francisco, CA

Languages/Frameworks: Python (Flask & FastAPI), RESTful API, PostgreSQL, Docker, Github Actions

• Developed 10 RESTful microservices using Python (FastAPI), facilitating data integration for 4 debugging tools

(GDB, Valgrind, ASAN, TSAN)

• Engineered backend services supporting hundreds of requests; reduced API response latency by roughly 25% and improved fault tolerance.

• Collaborated with cross-functional teams to gather backend requirements, refactor legacy endpoints, and enhance modular, testable codebases following best practices for microservices architecture Student Software Developer - Website/Application Portal Team July 2025 — Present Global Spark - Volunteer Burnaby, BC

Languages/Frameworks: React.js, Typescript, Next.js, PostgreSQL, HTML, CSS

• Built a scalable web portal using React.js and Next.js; implemented Server-Side Rendering (SSR) to reduce page load times by roughly 30% and improve SEO visibility.

• Architected normalized PostgreSQL database schemas to support complex business logic, ensuring data integrity for 1,500+ university student records.

• Integrated RESTful APIs with a TypeScript frontend, creating a responsive user interface for 1,500+ active users. Projects

Gym Workout Tracker App Nov 2025 — Present

Languages / Frameworks: Python, FastAPI, SQLModel, PostgreSQL

• Architected a high-performance REST API using FastAPI and SQLModel, leveraging Python type hints to ensure code safety and automatic documentation generation.

• Designed a normalized database schema to track complex lifting metrics (sets, reps, volume), enabling efficient historical progress retrieval for users.

EEG-Based Classification of Psychiatric Disorder Model Jan 2025 — Jul 2025 Languages / Frameworks: Python, TensorFlow, PyTorch, Matplotlib

• Developed an end-to-end EEG signal processing pipeline, achieving 85%+ accuracy in multi-class diagnosis using TensorFlow and PyTorch

• Applied advanced preprocessing (noise filtering, artifact removal) to raw signal data, significantly improving model robustness against overfitting.

NBA Vision Jul 2025 — Aug 2025

Languages / Frameworks: Java, Spring Boot, Spring Data JPA, PostgreSQL, React, Tailwind CSS, RESTful API

• Designed a backend with Spring Boot and Spring Data JPA, following clean architecture principles to ensure scalability.

• Optimized PostgreSQL queries to reduce data retrieval latency by 10%, enabling real-time scoring updates for users.

• Developed an interactive React frontend with Tailwind CSS, integrating RESTful APIs for team creation. Skills

• Programming Languages: Python, SQL, JavaScript/TypeScript, Java, HTML/CSS, C/C++

• Technologies: FastAPI, Flask, React.js, Next.js, Spring Boot, Docker, PostgreSQL, AWS, Git, Agile

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