Open to opportunities

Dhanish G

@dhanishg

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Software Engineer specializing in Python/Django, building scalable backends and real-time full-stack systems.

India

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What I'm looking for

I’m looking for opportunities where I can build reliable, scalable backend systems and full-stack features with Python/Django. I want to work on performance optimization, real-time experiences, and automated testing, while growing through strong engineering collaboration and modern DevOps practices.

I’m a Software Engineer primarily specializing in Python and Django, with hands-on experience in automation and manual testing. I build scalable backend systems, optimize application performance, and deliver reliable software solutions by collaborating effectively to meet timelines.

In my recent internships, I developed and deployed a real-time online learning platform using Python, Django, and PostgreSQL, improving development velocity by 30% and reducing response time by 25% through efficient database design and query optimization. I also automated attendance workflows, reducing manual effort by 80%, and supported cross-functional delivery by reducing merge conflicts by 40% using Git. I’m equally comfortable building responsive UIs with React, HTML, CSS, and JavaScript, and applying test practices (including TDD) to improve development efficiency while reducing manual QA effort.

Experience

Work history, roles, and key accomplishments

Full Stack Developer Intern

Altruisty Innovation Private Limited

Jan 2025 - Jul 2025 (6 months)

Developed and deployed a real-time online course platform using Python, Django, and PostgreSQL. Optimized backend modules to reduce application response time by 25% and automated attendance workflows to cut manual effort by 80%.

Python Django PostgreSQL Workflow Automation Monitoring Git

Full Stack Developer Intern

ISAN Data Systems Pvt. Ltd.

May 2024 - Jun 2024 (1 month)

Built and enhanced enterprise web applications with scalable backend services and responsive user interfaces. Improved user engagement by 20%, reduced average response time by 18%, and introduced automated testing practices to reduce manual QA effort by 50%.