Summary
Puneet Gupta is an LLM Engineer with nine years of hands-on experience building agentic AI, transformers, and enterprise-scale automation for observability and security teams. He has delivered production ML systems at Palo Alto Networks—like LogWatch and RAG-as-a-Service—that cut analysis and cost overheads by as much as 60–80% and supported hundreds of users with RBAC and multi-model embeddings. Skilled in Python, Go, Kubernetes, Terraform, and cloud-native stacks (AWS/GCP), he blends backend engineering (high-throughput RBAC, operators) with advanced AI work (fine-tuning, reranking, knowledge graphs, multi-agent workflows). Currently on Apple’s Applied ML team, he’s known for turning research into deployable agents and developer tooling, including a GenAI Pytest framework that significantly accelerated test automation. He holds multiple patents across AI-driven log analysis, RAG systems, graph anomaly detection, and code-generation structures—evidence of a practical inventor who focuses on measurable impact. Based in Delhi, he brings a problem-solving, execution-first approach that spans SRE, DevOps, and full-stack development.
9 years of coding experience
6 years of employment as a software developer
Intermediate High School Science, Intermediate High School Science at Central Board of Secondary Education
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at G.B. Pant Govt. Engineering College
Bachelor of Technology - BTech Computer science and Engineering, Bachelor of Technology - BTech Computer science and Engineering at Guru Gobind Singh Indraprastha University
Hindi, English