speaker detail

Anshu Kumar

Lead Data Scientist

company logo

Anshu Kumar is the Lead Data Scientist at Target India. He holds an M.Tech in Computer Science & Engineering from IIT Madras. With a career spanning roles at Walmart, VMware, and various startups, Anshu has designed and deployed machine learning solutions in e-commerce (search and recommendations) and social media marketing. His recent work focuses on utilizing LLMs and Vision LLMs to enhance product search. Additionally, Anshu is a published author with Packt and enjoys writing on Medium.

Prepare for the ultimate AI showdown at this year’s DataHack Summit! We're bringing together 3 AI experts to tackle one challenging case problem using three of the hottest techniques in the field: Retrieval-Augmented Generation (RAG), Long Context Language Models, Fine-Tuning  and combining these approaches. This is your chance to see these cutting-edge methods go head-to-head and understand their unique strengths and weaknesses.

It offers a rare opportunity to compare and contrast different problem-solving approaches, learn from leading experts, and expand your understanding of how versatile and dynamic the field can be.

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details