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. 📧 dc@dakshchaudhary.com

Work Experience

O

Ontario Government | Gouvernement de l’Ontario

Jan 2025 - Aug 2025
Software Developer/Engineer, co-op
  • -Developed and maintained critical web applications (real-time dashboards & planning) using TypeScript, Python, Fast API, and Docker, directly supporting clusters operations.
  • -Implemented robust testing strategies (unit, integration, E2E) and established efficient database migration pipelines, ensuring application reliability and data integrity for end-users.
  • -Integrated security practices into the development lifecycle by conducting code reviews for vulnerabilities, implementing automated security testing, and ensuring applications met WCAG 2.1 accessibility and OWASP security standards.
  • -Applied cloud security principles by implementing secure containerization practices with Docker, managing access controls, and ensuring secure configuration of cloud-based deployment environments.
  • -Collaborated with DevSecOps practices by embedding security controls within CI/CD pipelines, containerizing applications for secure deployment, and maintaining infrastructure-as-code principles.
  • -Participated in daily scrums, sprint planning, and code reviews in an agile environment, promoting clean code, reusable components, and strong UI/UX principles through cross-functional collaboration.
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.

XForm Engine – Cloud-Native Transformation Platform
Architected and deployed an enterprise-grade file transformation microservice on AWS, processing multi-format conversions (text, application, and media files) with automated orchestration. Designed a scalable, event-driven architecture leveraging AWS S3 for distributed object storage, DynamoDB for metadata queries, ECS for container orchestration, ECR for image management, and Cognito for identity management. Developed full-stack solution with RESTful APIs in Express.js and responsive Next.js frontend featuring real-time job tracking, secure authentication with role-based access control, and intuitive file upload/download interfaces. Implemented comprehensive DevOps with Dockerized microservices, automated CI/CD via GitHub Actions achieving 85%+ code coverage with Jest testing. Automated infrastructure provisioning using Ansible playbooks for reproducible deployments and rapid scaling. Engineered resilient asynchronous processing with SQS-based job queuing, exponential backoff retry mechanisms, and CloudWatch monitoring ensuring 99.9% uptime.
AWS S3AWS ECSDynamoDBAWS CloudWatchDocker+6
View Project
Source Code
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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