Ayush Shukla — Software Engineer

I'm a Software Engineer with 2+ years of experience building high-scale backend systems and AI-powered data pipelines, currently at Nielsen, where I work on media intelligence infrastructure processing 55TB/month of sports assets. My recent work sits at the intersection of GenAI and distributed systems. I redesigned Gemini inference pipelines that cut AI infrastructure costs from $140K to $30K/month, and built a brand/location detection system achieving 98.5% accuracy across large-scale media assets. Before Nielsen, at Zluri, I shipped multi-user approval workflows and notification systems adopted by 200+ enterprise customers. What I work with: Java · Spring Boot · Node.js · Go · Python · React · AWS (Bedrock, S3, SQS) · Kafka · PostgreSQL · MongoDB · Docker · Kubernetes What I care about: Building systems that scale without breaking the bank, whether that's cutting inference costs by 80%, reducing processing time by 90%, or improving test coverage before bugs reach production. Knight on LeetCode (Rating: 1993, Top 2.5%), I genuinely enjoy algorithmic problem solving, not just as interview prep. Open to challenging backend/GenAI engineering roles globally.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and AI-driven solutions.

Location: Bengaluru, Karnataka, India

Experience: 1 yr 1 mo