Summary
Shanu Vashishtha is a Deep Learning Engineer with nine years of experience translating research-grade models into enterprise production, currently building generative AI tooling for troubleshooting complex product issues. His background spans computer vision, sparse neural architectures, graph neural networks, and large language models, with publications and patents that reflect a strong research pedigree. At Walmart Global Tech he moved models from experimentation to live deployment—shipping personalized search ranking and scalable image-generation pipelines for marketing. He’s comfortable across the stack: prototyping novel sparse transformers and metapath2vec recommendation services, then packaging them as reliable services for large-scale systems. Based in Patna, India, he combines rigorous academic training from UMass Amherst and IIT Kanpur with hands-on experience optimizing models for latency, sparsity, and real-world A/B validation.
9 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Kanpur
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Massachusetts Amherst
AISSE and AISSCE, PHYSICAL SCIENCES, AISSE and AISSCE, PHYSICAL SCIENCES at Delhi Public School Patna