Srigoutam Jagannathan

WORK HISTORY

EDUCATION

ABOUT SRIGOUTAM JAGANNATHAN

Who I am- An AI Engineer With close to 4 years of cumulative industry experience who builds intelligent systems that are engineered for performance, reliability, and real-world impact- Currently a Mid-level AI Solutions Engineer at Whitespace in Belfast, United Kingdom - where I design and deploy LLM-driven Agentic AI applications, enterprise AI workflows, cloud-native & air-gapped systems for clients, building a suite of unique and versatile solutions that are intuitive, maintainable, and aligned with business outcomes. • Notable work- Developed RESTful ML microservices on an AI platform used by over 10 million users- First-authored and published research on predictive failure prediction in complex large-scale distributed cloud systems which is published in MDPI -\'Advancements in AI\' Journal- Subsequent developed an end-to-end autonomous multi-agent AI system to handle said failures on Google Cloud Platform using LangGraph, Neo4j, Vertex AI Vector Search, FastMCP and FastAPI, demonstrating my ability to build high-assurance, distributed AI architectures end-to-end- Optimized production CI/CD pipelines at Parallel wireless to improve production pipeline runtime by 77%- Implemented cryptographic systems for NSL-hub AI Platform• What I Bring- A mix of both significant industrial experience at scale (Fast paced Start-up and Procedural MNC environments) and pioneering AI academic research- A product-minded approach to AI that prioritizes reliability, user experience, and business value- Deep hands-on experience with LLMs, RAG and GraphRAG pipelines, agentic AI systems, and enterprise-grade MLOps- Strong software engineering capabilities across distributed systems, microservices, cloud platforms, and ETL pipelines- The ability to translate complex requirements into technical architectures that scale and perform under real-world constraints- A track record of delivering measurable improvements in accuracy, latency, scalability, and operational efficiency.• My Goals:To work at the intersection of AI engineering, scalable architectures, and human-centered design, creating practical business solutions that solve complex problems. I am open to all opportunities that go along these paths.