Ishan Raghuwanshi

I've built machine-learning solutions at IIT Bombay, including an ANN model that predicts dielectric properties of polymer nanocomposites and helps pre-screen filler compositions for target material performance.

For a semantic segmentation project, I implemented a GPU-optimized U-Net in PyTorch for pixel-wise image classification on the Oxford IIIT-Pet dataset, achieving a Dice Score of 0.72 across 1,000 test images.

At SRM Food Products, I research B2B markets in India and overseas, use a Generative AI-assisted workflow to identify prospects, and manage client relationships from outreach through conversion and issue resolution. I also work with factory and sales teams, assigning targets to two Sales Managers across Madhya Pradesh and Maharashtra.

During my Bharat Innovation Fund internship, I evaluated 50+ corporations and researched 150+ innovation, corporate venture capital, and M&A stakeholders for startup–corporate collaboration opportunities.