AI and machine learning engineer who also builds backends and IoT systems.
I'm a computer science graduate (B.Tech, AI & ML, 2026) and a co-author of a published paper on zero-shot, diffusion-based low-light image enhancement. I build machine learning systems, from a retrieval-augmented tutor with embeddings and a hosted LLM to CLIP-guided diffusion pipelines, and I ship Python backends too, most recently Django REST Framework features at Assistrend.ai. I also build IoT hardware, like the ESP32 sensor nodes behind my crop recommendation system. I'm looking to build and deploy machine learning and generative AI solutions.
A CLIP-guided semantic diffusion pipeline, built on Stable Diffusion v1.5, that brightens low-light images without paired training data or fine-tuning. A semantic-consistency filter rejects outputs that drift from the original scene.
View the code on GitHubPublished research: CLIP-guided Stable Diffusion that brightens dark photos with no paired training data.
View project →A RAG study tutor for NEET and JEE that grounds a hosted LLM's answers in textbook content.
View project →ESP32 sensor nodes feed a deep neural network that recommends crops to farmers.
View project →A steganography toolkit that hides files in PNG images and audio using LSB encoding.
View project →A Python desktop app that brands and merges PDFs in bulk.
View project →An Android music player built with Kotlin, Jetpack Compose and ExoPlayer.
View project →
