Hi, I'm Daksh 👋
Software Developer @ Government of Ontario | Computer Programming & Analysis Student at Seneca
DC

About

I’m a passionate Computer Science student at Seneca Polytechnic, graduating in 2026, currently gaining real-world experience as a Software Developer Co-op with the Government of Ontario. I work on meaningful projects that enhance public services while honing my skills in software development, algorithms, and emerging technologies.

With a strong foundation in both theory and hands-on practice, I’m driven by curiosity and a commitment to continuous learning. My interests span AI, programming languages, and building innovative solutions to real-world problems. I thrive in collaborative environments and enjoy turning ideas into impactful applications.

Let’s connect, collaborate, and push the boundaries of tech together. 📧 daksh@dakshchaudhary.me

Work Experience

O

Ontario Government | Gouvernement de l’Ontario

Jan 2025 - Present
Software Developer/Engineer, co-op
  • -Contributed to the development and enhancement of internal applications, including a server status dashboard and a release planning tool, using Next.js, TypeScript, Python (FastAPI), Docker, MariaDB, Azure DevOps, GitLab, and Figma.
  • -Developed Power BI reports and analytics to monitor key project metrics, delivering actionable insights that supported decision-making and improved operational efficiency.
  • -Implemented testing strategies, database migration pipelines, and accessibility improvements, ensuring stable, reliable, and user-friendly systems.
  • -Collaborated with cross-functional teams in an agile environment, participating in scrums, sprint planning, and task tracking to deliver solutions on time and within scope.
  • -Gained hands-on experience with scalable codebases, real-world deployments, and collaborative problem-solving on large, complex projects.
T

Team404 (Collaborative Student Development Team)

Sept 2024 - Dec 2024
Full-stack Developer
  • -Developed NutriEase, an AI-driven web application for personalized and sustainable meal planning.
  • -Developed full-stack functionality using Next.js, Flask, TypeScript, Tailwind CSS, Docker, and Cosmos DB, ensuring scalable and maintainable code.
  • -Integrated OpenAI GPT and Azure AI Foundry to deliver intelligent meal recommendations, virtual cooking assistance, and adaptive health tracking.
  • -Deployed and managed the application on the Azure Stack, including Azure VMs, App Services, and Storage,
  • -Designed and implemented automated testing pipelines, CI/CD workflows with GitHub Actions, and end-to-end quality assurance processes to ensure high reliability and rapid iteration.
  • -Applied scikit-learn for AI-driven personalization features, enhancing user experience and predictive analytics.

Education

Skills

React
Next.js
Typescript
Node.js
Python
Go
Java
Swift
Kotlin
Postgres
Docker
Kubernetes
C++
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

NutriEase – Sustainable Meal Planning Tool
NutriEase is an AI-powered meal planning SaaS focused on sustainability and health. It generates personalized 7-day meal plans based on user goals, dietary restrictions, available ingredients, and budget. The platform includes a virtual cooking assistant, health tracker, and community features. It empowers users to reduce food waste, eat healthier, and save money—aligning with UN Sustainable Development Goals.
OpenAI GPT-4DjangoNext.jsMongoDBDocker+2
View Project
Source Code

Certificates

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