About

Advaid Gireesan

Applied AI & Platform Engineer

I'm a senior software engineer with a strong foundation in backend and platform engineering (Java, cloud-native systems, Kubernetes/OpenShift), now focused on building applied AI and GenAI systems that work reliably in real-world environments.

My work is centered around AI systems engineering — not research or demos — integrating LLMs, retrieval-augmented generation (RAG), agentic workflows, and document intelligence into scalable platforms with attention to security, cost, observability, and human-in-the-loop design.

I build production-grade AI systems — not demos — focused on Applied AI, GenAI platforms, and agentic workflows. My work spans multi-tenant AI SaaS platforms, GenAI content systems, document intelligence (IDP), voice-enabled operations agents, and analytics-focused AI assistants.

I am a founding member at NioTap, an AI email support platform, and currently work as a Senior Consultant at Capgemini, where I contribute to internal AI accelerators, GenAI prototypes, and platform capabilities.

Skills & Technologies

AI & GenAI Systems

Applied AIGenerative AIAgentic AIRAG PipelinesIntelligent Document ProcessingLLM IntegrationGuardrails & SafetyHuman-in-the-Loop DesignPrompt EngineeringTool Calling / MCP

Backend & Platform

PythonFastAPIJavaSpring BootREST APIsKubernetesOpenShiftDockerCI/CD PipelinesHelmArgo Workflows

Cloud & Infrastructure

AWSAmazon BedrockTerraformS3LambdaCloudWatchOpenSearchPostgreSQLRedisFAISSpgvector

AI Frameworks & Tools

Anthropic ClaudeOpenAIGoogle GeminiChromaDBHuggingFaceStreamlitNext.jsReactTypeScript

Experience

Founder

Current

NioTap

Jan 2026 – Present · Remote

Co-founded an AI email support platform focused on retrieval-augmented response drafting
Defined early product vision and system architecture for multi-tenant AI SaaS
Provided high-level guidance on AI use cases, RAG pipelines, and platform design

Senior Consultant – Cloud, Platform & Applied AI Systems

Current

Capgemini

Jul 2025 – Present · Illinois, United States

Designed internal GenAI accelerators using LLMs, RAG, and agentic workflows
Built AI-powered analytics assistants and document intelligence prototypes
Developed agent-based AI systems combining structured data, documents, and safe tool execution
Integrated AWS-managed AI services including Amazon Bedrock
Designed human-in-the-loop workflows with review, escalation, and auditability
Evaluated cost, latency, reliability, and security trade-offs for enterprise GenAI adoption

DevOps Specialist | Kubernetes & OpenShift Developer

Capgemini

Dec 2022 – Jul 2025 · India → Illinois, US

Backend and platform engineering using Java-based services and cloud-native architectures
Developed custom Helm charts for scalable deployments across environments
Implemented Argo Workflows for automation and orchestration
Built enterprise CI/CD pipelines supporting blue-green and canary deployments
Integrated security solutions including ServiceNow Data Security API and HashiCorp Vault
Delivered Kubernetes and OpenShift training across multiple teams

Java API Developer & DevOps Enthusiast

Cognizant

Sep 2020 – Nov 2022 · Chennai & Coimbatore, India

Led migration of enterprise applications from PCF to OpenShift for a major US bank
Built and integrated Java REST APIs with Spring Boot and Kofax platforms
Designed document extraction and classification workflows using Kofax TotalAgility
Implemented JWT-based authentication and end-to-end data security
Recognized with promotion to Associate for delivery excellence

Education

Bachelor of Technology (B.Tech)

Mechanical Engineering

TKM College of Engineering, Kollam

2016 – 2020

Certifications

CKAD – Certified Kubernetes Application Developer
Kofax RPA 10.4 Essentials
Kofax TotalAgility 7.9
Kofax TotalAgility 7.8 Cognitive Capture
Kofax TotalAgility 7.7 Essentials

Honors & Awards

Excellence in Delivering Complex Engagements
Always Striving, Never Settling
Customer Delight Award
Innovation Award

How I Think About AI

My goal is to build AI that augments teams, fits into existing platforms, and survives real operational constraints.

Reliable, not just impressive

AI systems should work consistently in production, not just in demos. I prioritize robustness, fallbacks, and retry strategies.

Explainable, not opaque

Every AI output should be traceable. I build systems with citation tracking, audit logs, and transparent decision paths.

Cost-Aware, not wasteful

Token usage, latency, and API costs are first-class concerns. I design systems that track and optimize AI spend.

Human-Centered, not fully autonomous

AI should augment teams, not replace judgment. I build human-in-the-loop workflows with review, escalation, and override capabilities.