Summary
Dhaval Taunk is a Senior Data Scientist based in Bengaluru with 7 years of experience specializing in NLP, Graph Neural Networks, and diffusion-based generative models. He has published work on text generation for low-resource languages at The Web Conference and has a track record of translating research into products—building persona-driven chatbots, a Text-to-SQL framework that preserves schema-only privacy, and a virtual try-on system that outperformed SOTA on FID. At Fast Code AI he combined GNNs and point-cloud scene classification to reach industry-grade accuracy, and also developed infrastructure like a Dart-based vector database and federated learning pipelines. Now at Target, he brings a research-first mindset to production problems, bridging advanced ML techniques with practical deployment. Colleagues would note his blend of deep academic rigor (MS by Research from IIITH) with a hands-on, problem-solving focus on real-world impact.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Science, 7.2/10.0, Bachelor of Technology, Computer Science, 7.2/10.0 at Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
MS by Research, Computer Science and Enginering, 10/10, MS by Research, Computer Science and Enginering, 10/10 at International Institute of Information Technology Hyderabad (IIITH)
Class XII, Mathematics, 88.20%, Class XII, Mathematics, 88.20% at Mangla Higher Secondary School, Dabra
Hindi, English, Gujarati