Summary
Avadh Ladani is a computer vision engineer and AI enthusiast with three years of experience applying deep learning to real-world problems, currently working as a Computer Vision Intern at Omnidya India. He specializes in data collection, model training, and deploying quantized vision models on NPU-enabled edge devices with minimal accuracy loss, and has integrated CV features into production pipelines for road transportation. Previously at Vovance he built predictive and classification models across image, audio, and NLP tasks using TensorFlow/Keras and contributed to the Ambli.ai product suite. Academically strong with a BTech in Computer Engineering (9.67 GPA) and an ongoing MTech in Data Science, he blends rigorous fundamentals with hands-on deployment experience. Based in Ahmedabad, he’s driven by generative AI trends and practical solutions, pairing research curiosity with an engineer’s focus on efficiency and real-world validation. An atypical detail: he’s demonstrated edge deployment chops by achieving only a 1% accuracy drop after quantizing models for NPUs.
4 years of coding experience
Master of Technology - MTech, Data Science, Master of Technology - MTech, Data Science at Nirma University
Bachelor of Technology - BTech, Computer Engineering, Bachelor of Technology - BTech, Computer Engineering at SILVER OAK UNIVERSITY