Agentic AI systems
Architecting secure, multi-agent workflows that automate meaningful enterprise work.
Available for AI architecture conversations
AI for real-world impact,
built to scale.
I am Raja Ayyanar, an AI Architect designing dependable Agentic AI, data science, and machine-learning systems for complex enterprise problems.
Let’s connect ↗01 / About
Making AI useful in the real world.
I lead teams and shape the end-to-end architecture behind enterprise AI adoption—from translating a business problem into a practical solution to building the agents, data flows, guardrails, and observability that make it work.
My background combines research in NLP and deep learning with hands-on product engineering. I enjoy hard problems, elegant systems, mathematics, artificial intelligence, and chess.
10+Years in technology
1Granted patent
1IEEE publication
02 / Expertise
Capabilities for the AI transformation journey.
LLM & RAG solutions
Domain-aware copilots, intelligent search, retrieval pipelines, and tool-using agents.
AI architecture
From solution strategy and evaluation to guardrails, observability, and scalable delivery.
NLP & ML research
Deep learning, transformers, knowledge graphs, summarisation, classification, and optimisation.
LANGGRAPHAWS BEDROCKAZURE AILANGFUSELANGSMITHVECTOR DATABASESMCPLLMs
03 / Experience
2025 — Present
Hash Agile Technologies
AI Solution Architect
Leading the architecture and delivery of enterprise-grade Agentic AI solutions for a Fortune 500 global healthcare organisation.
2022 — 2025
Hash Agile Technologies
Lead Data Scientist
Led a data-science team building AI-powered search, RAG, chatbot, and agent solutions for patent intelligence and legal technology.
2019 — 2022
Relecura
Senior Machine Learning Researcher
Built NLP and deep-learning systems for patent analytics, including semantic understanding, classification, concept extraction, and summarisation.
2019
Indian Institute of Science (IISc)
Research Intern — ML / Data Science
Researched deep-learning approaches for causal relation classification and text summarisation at the Computational Data Science Lab.
2015 — 2017
Zoho Corporation
Member Technical Staff
Developed enterprise IT-management software for the ManageEngine product suite.
04 / Research
Research-driven, product-minded.
Publication
Causal Relation Classification using Convolutional Neural Networks and Grammar Tags
View IEEE paper ↗Patent
System, method and device for automatic text summarisation
05 / Education
2017 — 2019
M.Tech, Machine Learning & Intelligent Systems
M. S. Ramaiah University of Applied Sciences2011 — 2015
B.E., Electronics & Communication Engineering
Government College of Engineering, Tirunelveli