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Saurabh Gaikwad

@saurabhgaikwad

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Machine learning intern building high-accuracy models and production-ready web apps.

India

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What I'm looking for

I’m looking for hands-on roles where I can build and improve machine learning models and reliable web applications, with room to experiment, measure results, and ship well-tested features.

I’m a Machine Learning Research Intern focused on developing reliable models for real-world detection tasks. I’ve collaborated with Raman Research Institute and Bhaskaracharya Pratishthan to analyze milk quality using droplet drying pattern analysis, training SVM and Random Forest models with over 88% accuracy.

I also build full-feature web applications with strong testing and performance habits—like a responsive TradeTrack dashboard achieving 90% test coverage with Jest and a vacation rental platform that reduced response time by 20%. I enjoy solving problems deeply (300+ DSA questions) and turning ideas into demos, including a consolation prize at INNOVATE 2025.

Experience

Work history, roles, and key accomplishments

Current

ML Research Intern

Current

Milk Adulteration Detection System

Oct 2024 - Present (1 year 9 months)

Collaborated with Raman Research Institute and Bhaskaracharya Pratishthan to analyze milk quality using droplet drying pattern analysis. Developed and trained SVM and Random Forest models, achieving 88%+ accuracy and reducing training time by 35% through data preprocessing.

Machine Learning SVM Random Forest Droplet Drying Pattern Analysis data preprocessing Model Training Adulteration Testing