About me
I'm a software developer and MCA student based in Bengaluru, India, passionate about solving real-world problems through efficient code and smart automation. I specialize in building AI-powered tools and deploying scalable web applications.
My approach combines deep debugging skill with clean design thinking. From real-time object detection with SurveilAI to emotion-based music recommenders, I create systems that are both functional and impactful. I enjoy exploring tech-enabled solutions for traditional industries, like IoT in dairy farming, and turning complex ideas into practical innovations.
What I'm Doing
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Web Development
Designing and deploying functional frontend apps like personal finance trackers using HTML, CSS, JavaScript, and GitHub Pages.
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Machine Learning Applications
Creating ML-based tools like emotion-based music recommenders and house price predictors using Python and Jupyter.
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Technical Debugging
Troubleshooting complex Linux issues including glibc compatibility, Docker setup, and deployment challenges.
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AI-Powered Monitoring
Building real-time object detection systems like SurveilAI using Flask, YOLOv8, and Docker for intelligent automation.
Testimonials
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Prathik E
“Guna was brought on to architect a real-time monitoring solution using AI. The results far exceeded our expectations — from deployment insights to seamless integration. Their deep understanding of debugging and automation made a real difference in project delivery.”
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Hemanth K
“Working with Guna was a breeze. They tackled complex compatibility issues in our Linux environment and delivered a clean, documented fix within hours. Their commitment to code quality and clarity makes them a standout developer.”
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Harshitha R
“Guna brought both clarity and precision to our machine learning prototype. Their emotion-based music recommender wasn’t just creative — it was technically sound and user-focused from the ground up.”
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Rithika
“The deployment efficiency Guna delivered for our AI dashboard was exceptional. Their deep understanding of Flask and Docker reduced setup time dramatically — and their documentation was refreshingly clean.”
