Machine Learning engineer building deep learning systems, vision transformers and LLMs from scratch. Two patents filed, and a relentless drive to turn complex data into high-impact solutions.
I build at the intersection of deep learning, computer vision, and language models — from CNNs and Vision Transformers to a 130M-parameter LLM written from scratch in PyTorch.
Completed my B.E. in Computer Engineering at Thapar Institute of Engineering & Technology, with two patents filed at the India Patent Office for deep-learning systems applied to civil engineering.
I care about models that ship — measurable accuracy, lean inference, and pipelines other engineers can actually use.
Non-destructive system estimating structural damage in fire-affected concrete via microscopic imaging and CNN classification.
Vision-Transformer–based, non-destructive assessment of structural damage using microscopic imaging.
Open to ML / AI engineer roles, research collaborations, and ambitious side-projects.