Aspiring AI Researcher | Deep Learning Enthusiast | Musician at Heart
Turning pixels and waveforms into possibilities.
I'm a pre-final year Computer Science student on a mission to blend creativity, emotion, and intelligence through the lens of Artificial Intelligence.
My passion lies in deep learning, especially its intersection with audio, vision, and healthcare.
While I may be at the beginning of my research journey, I’ve already built projects that reflect both curiosity and care—like a TAC-GAN model fused with SBERT, and an ECG classification system aimed at early cardiac diagnostics.
I believe in building from scratch, learning deeply, and loving the process—just as much as the results.
- Generative Models (GANs, VAEs, Diffusion)
- Multimodal Deep Learning
- AI in Healthcare
- PyTorch & Optimization
- Writing music that heals, just like code that helps
- TAC-GAN with SBERT – Exploring text-to-image generation with semantic guidance
- ECG Classification – Applying CNNs to biomedical signals for potential health impact
- Sound Classification – Classifying urban sounds using spectrogram-based CNNs
More on the way—my GitHub is blooming like spring.
Whether you're into AI research, audio synthesis, deep learning, or just want to talk about Kishore Kumar songs while debugging—I'm all ears.
Mail me at: vishal351980@gmail.com
LinkedIn: [https://www.linkedin.com/in/vishal35198/]
Portfolio (coming soon)