Ashutosh Chandra is a computer scientist with 9 years of experience building distributed systems and scalable architectures, currently working at Adobe after impactful engineering roles at Wishlink and other firms. He blends backend expertise in Django, FastAPI and Node.js with production-grade event streaming (Kafka), search (Elasticsearch), vector stores (Qdrant), and caching (Redis) to drive measurable user and revenue uplift. At Wishlink he architected low-latency recommendation and search pipelines that improved engagement, retention and revenue while cutting API latency from 1s to 200ms and shrinking MTTD from hours to minutes. Comfortable across cloud-native deployments (EKS/GCP), CI/CD, observability (Prometheus/Grafana) and async task platforms, he focuses on reliable, maintainable systems that scale. A B.Tech+M.Tech graduate from IIIT Allahabad, he pairs strong engineering rigor with curiosity for ML, data visualization and practical experimentation. Notably, he combines applied ML enthusiasm with hands-on productionization of embeddings and retrieval systems rather than just exploratory modeling.
9 years of coding experience
3 years of employment as a software developer
Kendriya Vidyalaya Sangathan
B.Tech + M.Tech Integrated, Information Technology, B.Tech + M.Tech Integrated, Information Technology at Indian Institute Of Information Technology Allahabad
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