Neelesh Pateriya

About Neelesh Pateriya

I am a seasoned technical leader with over 20 years of experience in software product design and development, specializing in Cloud Native, API, and Microservices for the past decade. I excel in translating innovative ideas into scalable products and driving the adoption of new technologies. My hands-on experience includes architecting and building containerized microservices in Golang, deployed on Kubernetes, and utilizing technologies like Cassandra, Kafka, and ElasticSearch.At Cisco, I led the development of API Insights, a key component of Cisco’s API-First strategy, enhancing API quality across the product ecosystem. This involved creating tools for REST API compliance, document completeness, and runtime API drift detection, significantly improving API quality and security. My work on API Insights earned the prestigious 2022 CSO50 award and has been showcased at international conferences like APIWorld.I am also deeply involved in community engagement, including creating certifications, presenting at conferences, and serving as a judge for hackathons and industry awards. I contributed to the development of curriculum and certification exams for Cisco DevNet Associate and Professional certificates, and the Certified Kubernetes Administrator certification, helping upskill thousands of professionals in automation. My expertise spans a wide range of technologies, and I am passionate about mentoring and leading distributed development teams to execute large-scale technical transformations.

Experience

1. Principal Engineer Ai Systems & Developer Platforms

   Cisco

   Jan 2024 — Present · San Jose, CA, US

   Leading AI platform capabilities across Cisco’s DevNet ecosystem, focused on making APIs and documentation directly usable through AI.Driving RAG/MCP systems from early prototypes into production, validating real use cases and scaling adoption across teams- Led architecture for AI-powered semantic search across 200+ Cisco product APIs (~100K endpoints), improving search CTR by 2–3× vs keyword-based discovery in high-scale developer workflows- Led development of DevNet Content Search (MCP), enabling AI agents to retrieve and interact with live, authoritative API documentation- Introduced AI-driven workflows within developer learning labs to remove setup friction and provide contextual guidance, improving onboarding and reducing support overheadRequired normalizing fragmented sources (OpenAPI specs, guides, tutorials) into reliable inputs for AI systems, including summarization tuned for cost, latency, and relevance—where larger models proved too slow and expensive for real developer workflows at scale.This work scaled from early prototypes into platform capabilities adopted across teams, shaping how AI is used across Cisco’s developer ecosystem. Defined architectural patterns for integrating AI into developer platforms, shaping adoption across teams and systems.

Education

• S.G.S.I.T.S. (Devi Ahilya Vishwavidyalaya)

  Bachelor of Engineering (BE)

• Indian Institute of Science (IISc)

  Master of Technology (M.Tech.)

Skills

• Etl
• Enterprise Software
• Software as a Service (Saas)
• Sql
• Linux
• Vmware
• Identity Management
• C++
• Databases
• Big Data
• Web Services
• Integration
• Agile Methodologies
• Saas
• Identity & Access Management (Iam)
• Ldap
• Cloud Computing
• Windows Azure