Ayushman Bhatt

I am an AI and Data Science undergraduate with hands-on experience in machine learning, deep learning, explainable AI, and generative AI. My research work focuses on developing robust and trustworthy AI systems, particularly in medical image analysis, where I have explored model interpretability, stain normalization, and prediction reliability. Alongside research, I actively build practical AI solutions using Python, LangChain, LLMs, and modern data science tools.

I enjoy investigating complex problems, experimenting with new methodologies, and translating research insights into real-world applications, making me well-suited for research and development roles.

Undergraduate Researcher at SVNIT Surat (2026-01 – Present)

Explainable AI for Medical Imaging

• Conducting research on explainable deep learning methods for cervical cancer classification using the SipakMed dataset.
• Designed robustness and interpretability evaluation frameworks using Grad-CAM, SSIM, IoU, and correlation-based metrics.
• Achieved 99.03% classification accuracy and prepared findings for submission to a peer-reviewed journal.

Co-Founder & Product Developer at Raahikart Private Limited (2025-07 – 2026-05)

• Co-founded a peer-to-peer logistics platform connecting senders with travelers for affordable package delivery.
• Led product development, designing backend systems, database architecture, and user workflows while rapidly iterating on product features.
• Collaborated with the founding team to validate ideas, solve operational challenges, and drive the platform from concept to functional prototype.

Integrated BTech+MTech in Artificial Intelligence – Sardar Vallabhbhai National Institute of Technology (2024-08 – 2029-06)