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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 10 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