Abdul Gheiasi

Abdul Gheiasi

Software Engineer

I'm passionate about distributed systems, database architecture, and building high-performance software. In my free time, I read database whitepapers and build systems from scratch to understand how they work at a fundamental level.

Experience

Nodalli

Jan 2025 – Present

Software Engineer Intern

Built AI-powered outreach automation systems to streamline client engagement workflows and designed intelligent scheduling infrastructure for automated coffee chat booking. Implemented scalable backend features supporting production-grade usage.

Tech Stack: TypeScript, Next.js, Node.js, PostgreSQL, AWS

Toronto Metropolitan Formula Racing Club

Sep 2025 – Dec 2025

Software Engineer

Architected a high-reliability VCU safety system achieving 99.9% uptime, optimized CAN communication protocols reducing latency by 40% to sub-5ms, and improved cross-team integration efficiency by 35%.

Tech Stack: Python, Embedded Systems, CAN Protocol, Real-Time Systems

Preply

Sep 2024 – Dec 2025

Computer Programming Tutor

Delivered 30+ personalized one-on-one programming sessions, improving student coding proficiency by 90% and increasing problem-solving accuracy by 45%.

Tech Stack: Python, C++, Data Structures & Algorithms

Google Developer Groups TMU

Sep 2024 – April 2025

Software Developer

Improved frontend performance by reducing page load times by 200ms, cut script execution to sub-50ms using automation tooling, and accelerated feature delivery by 25% within an Agile workflow.

Tech Stack: HTML, CSS, JavaScript, Python, Git/GitHub

Stanford University

Apr 2024 – Jun 2024

Section Leader (Code In Place)

Led a section for Stanford’s Code In Place program teaching foundational Python programming to students worldwide.

Tech Stack: Python, Karel, Tkinter

Jane Street

Mar 2024

First-Year Trading & Technology Program (FTTP)

Selected among 100 students across US/Canada for quantitative trading program and trained in market-making fundamentals, probability theory, and rapid decision-making under real-time constraints.

Focus: Quantitative Finance, Probability, Algorithms

Education

Toronto Metropolitan University

Bachelor of Science in Computer Science (September 2023 – April 2027). Relevant Courses: Data Structures and Algorithms, Operating Systems, Systems Architecture, Networks & Clouds, Real-Time Architecture. Activities: ICPC Team 2024 & 2025.

Technical Skills

Core Languages

C++, Python, Java, Go, TypeScript, JavaScript, SQL, HTML/CSS

Frameworks & Technologies

Spring Boot, React, Node.js, Next.js, Django, Flask, Express, Material UI, gRPC, Prisma, Three.js

Infrastructure & Databases

AWS (Lambda, RDS, S3, EC2), GCP, Docker, Kubernetes, PostgreSQL, MongoDB, Redis, Cassandra, Apache Spark, Airflow, Prometheus, Grafana

Concepts & Specializations

Distributed Systems, Database Architecture, SIMD Optimization, Vector Databases, Data Structures & Algorithms, Operating Systems, REST APIs, WebSockets

Awards & Recognition

  • 🏆 5× Hackathon Winner (HawkHacks 1st, EasyA × Polkadot Harvard 2nd + 3 wins)
  • 🎨 UX Design Awards New Talent 2025 — IntelliCourse
  • 🧠 ICPC 2024 Competitor (Ranked 5th in selection)
  • 💻 500+ LeetCode Problems Solved