About Me

Engineer. Builder. Creative technologist.

I build production-grade AI systems and premium digital experiences. My work sits at the intersection of engineering, automation, product thinking, strategic advisory, and visual storytelling.

Portrait of Siddardha Vangala

About me

I'm Siddardha Vangala, a Senior AI & Backend Engineer with over 8 years of experience designing scalable distributed systems, AI platforms, and production-ready LLM applications. My work focuses on agent-driven architectures, retrieval systems, enterprise integrations, and backend platforms that create real operational value.

At MasTec, I build AI-driven data and document-intelligence systems for enterprise platforms - including LLM-powered structured-data extraction and versioning pipelines, relationship-aware document lineage models, and AI agent tooling that layers natural-language analytics on top of internal datasets. I also lead enterprise SSO integrations and build performance-testing and observability infrastructure to keep AI-agent services reliable under load. Much of this work is delivered through AI-assisted development workflows, pairing with AI coding agents to ship production features faster without sacrificing quality.

My background also includes founding-stage product development, patent-backed innovation, immersive technology, technical writing, and long-term technology strategy. From 2017 to 2019, I served in founding technical leadership at an early-stage startup, and I have continued supporting innovation in a strategic advisory capacity.

My work has also expanded into public industry contribution through media commentary, technical writing, and judging roles. I have been featured in industry coverage for perspectives on AI infrastructure and have been selected to evaluate startup teams and venture concepts through innovation programs and judging appointments.

In July 2026, I was elected a Fellow of the Institution of Engineering and Technology (IET) - the institution's highest grade of membership, recognizing sustained professional achievement and technical leadership at an international level. I was also recognized as an IEEE Senior Member, a distinction that reflects sustained technical experience, professional maturity, and continued contribution to the engineering community.

Beyond engineering, I care deeply about presentation and creative direction. I believe strong technical work deserves a strong digital identity - one that feels polished, intentional, and premium. That mindset shapes how I approach products, writing, branding, and portfolio design.

8+ years building AI platforms, backend systems, and distributed applications
Specialized in LLM agents, RAG pipelines, MCP, and production automation
IET Fellow, IEEE Senior Member, patent holder, technical advisor, media contributor, and startup competition judge

Research

Citable technical work with a persistent DOI

In addition to articles and engineering work, I also publish research outputs that are meant to be discoverable, referenceable, and easy to cite across academic and professional contexts.

Featured Record

Model Context Protocol in Enterprise AI Systems: Architecture, Failure Modes, and Production Patterns

A DOI-backed publication focused on how Model Context Protocol behaves in real enterprise AI environments, covering architecture decisions, operational failure modes, and durable production patterns for deployment at scale.

DOI

10.5281/zenodo.19648079