Summary
Arjun Sunil is a Staff Engineer specializing in Platform and AI Infrastructure with 10 years of experience building scalable ML systems, MLOps, and cloud-native platforms from Bengaluru. He has repeatedly architected production-grade retrieval, caching, and connector systems—most recently cutting API connector latencies by 93% and enabling OpenAPI-3.0 integrations—while improving CI/CD, observability, and cost efficiency across AWS/GCP. Comfortable across the ML lifecycle, he has led RAG implementations, on-device ML proofs-of-concept, large-scale bulk inference pipelines with Kafka/Kubernetes, and EU-compliant deployments. A pragmatic mentor and process driver, he champions engineering hygiene (pre-commit hooks, automated rollbacks) and has coached teams on using AI coding assistants to boost productivity. Trained in machine intelligence (MSc), he combines research curiosity with hands-on delivery and a knack for translating Python tooling to mobile-friendly Kotlin implementations.
10 years of coding experience
MSc. Computer Science Machine Intelligence, MSc. Computer Science Machine Intelligence at Indian Institute of Information Tech & Mgt-Kerala
Bachelor of Science (B.Sc.) Mobile Applications, Bachelor of Science (B.Sc.) Mobile Applications at Department of IT, School of Science, Gujarat University
English, Malayalam, Hindi, Gujarati, Tamil