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# Harsh Patel

**Headline:** SDE @ Airbus, Fellow @ Intern Insider | CS @ TMU
**Profession:** Fellow
**Location:** Greater Toronto Area, Canada

## About

Harsh Patel is a Software Developer Intern at Airbus, working in Skywise Optimization and AI/ML, and a Fellow at Intern Insider, where he contributes to growth. He is a Computer Science co-op student at Toronto Metropolitan University with strengths in backend systems, performance, scalable infrastructure, system design, and the intersection of software, data, and finance. At Airbus, Harsh built a globally adopted release-management suite that reduced release-management effort by 43%, demonstrating his ability to create internal tools that integrate multiple systems and operate at global scale. His experience also includes machine-learning and LLM/NLP evaluation at Outlier and simulation infrastructure as a Technical Game Designer at EduShare.AI. Harsh works across Python, React, backend development, machine learning, microservices, real-time client-server systems, and modern delivery practices. He is particularly interested in building reliable backend and payment systems, solving messy data-integration challenges, and developing new features that scale. Harsh earned a Bachelor of Science \(Honours\) co-op education in Computer Science at Toronto Metropolitan University and previously studied Computer Science and Business at Castlebrooke Secondary School.

## Services

- Agile Methodologies
- System Architecture
- Microservices
- WebSocket
- C#
- Real-Time Systems
- Client-Server Architecture
- Github Actions
- Jira
- Tailwind CSS
- JSX
- PostgreSQL
- GraphQL
- Continuous Integration and Continuous Delivery \(CI/CD\)
- Data Visualization
- Authentication & Authorization
- Role-Based Access Control \(RBAC\)
- System Design
- React & Next.js
- Large Language Models \(LLM\)

## Highlights

- Built a globally adopted release-management suite at Airbus that reduced release-management effort by 43%.
- Works as a Software Developer Intern at Airbus in Skywise Optimization and AI/ML.
- Demonstrated the ability to build internal tools that integrate multiple systems and scale globally.
- Serves as a Fellow at Intern Insider with a growth focus.
- Worked as a Math AI Models Trainer at Outlier, with experience in machine learning and LLM/NLP evaluation.
- Worked as a Technical Game Designer at EduShare.AI, focused on simulation infrastructure.
- Brings experience in Python, React, backend development, and machine learning.
- Has technical skills in system architecture, microservices, WebSocket, C#, real-time systems, and client-server architecture.
- Uses GitHub Actions, Jira, CI/CD, PostgreSQL, GraphQL, React and Next.js, JSX, and Tailwind CSS.
- Has skills in data visualization, authentication and authorization, role-based access control, system design, Agile methodologies, and large language models.
- Earned a Bachelor of Science \(Honours\) co-op education in Computer Science from Toronto Metropolitan University.

## Experience

- **Fellow at Intern Insider** (2026-09-01–present) — Growth
- **Software Developer Intern at Airbus** (2026-05-01–present) — Skywise Optimization and AI/ML
- **Math AI Models Trainer at Outlier** (2024-07-01–2024-08-01) — Machine Learning and LLM/NLP Evaluation
- **Technical Game Designer at EduShare.AI** (2022-01-01–2022-05-01) — Simulation Infrastructure

## Education

- Bachelor of Science \(Honours\) - BS Co-op, Computer Science — Toronto Metropolitan University (2023-01-01–2027-05-01)
- Computer Science and Business — Castlebrooke Secondary School (2019-01-01–2023-01-01)

## FAQ

### What does Harsh do?

Harsh is a Software Developer Intern at Airbus, working in Skywise Optimization and AI/ML. He is also a Fellow at Intern Insider, where his focus is growth.

### What are Harsh's professional strengths?

Harsh works on backend systems, performance, scalable infrastructure, system design, and the intersection of software, data, and finance. He is especially interested in reliable backend and payment systems, data integration, and feature development at scale.

### What did Harsh accomplish at Airbus?

At Airbus, Harsh built a globally adopted release-management suite that reduced release-management effort by 43%. His Airbus work is in Skywise Optimization and AI/ML, and it demonstrates his ability to build internal tools that integrate multiple systems and scale globally.

### What did Harsh do at Outlier?

At Outlier, Harsh worked as a Math AI Models Trainer, with experience in machine learning and LLM/NLP evaluation.

### What did Harsh do at EduShare.AI?

At EduShare.AI, Harsh worked as a Technical Game Designer focused on simulation infrastructure.

### What is Harsh's role at Intern Insider?

Harsh is a current Fellow at Intern Insider, where he contributes to growth.

### What is Harsh's education?

Harsh earned a Bachelor of Science \(Honours\) co-op degree in Computer Science from Toronto Metropolitan University.

### What did Harsh study before Toronto Metropolitan University?

Before university, Harsh studied Computer Science and Business at Castlebrooke Secondary School.

### What technologies and development areas does Harsh work with?

Harsh has experience with Python, React, backend development, and machine learning. His technical skills also include system architecture, microservices, WebSocket, C#, real-time systems, client-server architecture, PostgreSQL, GraphQL, React and Next.js, JSX, Tailwind CSS, large language models, and data visualization.

### What engineering practices and platform skills does Harsh use?

Harsh has skills in Agile methodologies, GitHub Actions, Jira, CI/CD, authentication and authorization, role-based access control, and system design.

### What kinds of engineering problems does Harsh want to solve?

Harsh is drawn to building scalable infrastructure and new features. His work includes solving data-integration challenges and using testing and feedback to build user trust.

## Links

- LinkedIn: https://www.linkedin.com/in/patellharsh

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