Anubhav Sharma — Lead ML Engineer

Anubhav is a Software Development Engineer (Machine Learning) with a proven record of building and scaling ML-driven systems that deliver measurable business impact. At Walmart Global Tech, he engineered GenAI-powered in-app search enhancements and real-time anomaly detection pipelines for the retail supply chain—driving higher conversion rates, stronger user engagement, and improved operational efficiency. His expertise spans backend services, distributed data pipelines, and ML system integration. Anubhav has designed A/B testing and experimentation frameworks, developed high-performance analytics platforms, and deployed ML-powered ranking and anomaly detection models into production at scale. As an SDE–ML, he combines strong software engineering fundamentals with deep ML understanding—focusing on reliability, scalability, and low-latency performance. He thrives in cross-functional environments, collaborating with product managers, data scientists, and analysts to translate algorithms into production-grade solutions. Anubhav holds a B.Tech in Materials Science and Engineering from IIT Kanpur, where he received the Academic Excellence Award. He continues to explore advancements in large-scale ML systems, generative AI, and experimentation infrastructure to build intelligent software that bridges data, algorithms, and user experience.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Retail Tech with a focus on scalable solutions.

Location: Bengaluru, Karnataka, India

Experience: 3 yrs 8 mos