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ani1797/README.md
Anirudh Aggarwal — Staff Engineer | AI & Platform Engineering
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About

Staff Engineer with 8+ years of experience spanning full-stack application development, cloud infrastructure, and AI/ML systems. Currently driving AI platform strategy and engineering at a Fortune 500 financial services company, where my work has contributed to AI-powered underwriting that processes approvals in under 2 minutes and contact centre intelligence serving 110M+ calls annually. I focus on turning cutting-edge AI into production-grade systems that deliver measurable business outcomes across the financial services and retail sectors.

What I Build

AI in Financial Services

Intelligent underwriting engines, risk assessment models, and AI-driven decision systems for insurance and financial products. Building systems that process approvals in minutes, not weeks.

AI Platform & Strategy

Global AI platform architecture, MLOps pipelines, responsible AI frameworks, and enterprise-wide GenAI enablement. Setting strategy that scales AI across an organization.

Contact Centre Intelligence

GenAI-powered knowledge systems, voice analytics, RAG-based contract lookup, and automated call analysis serving 110M+ calls annually.

Tech Stack

AI / ML

Python PyTorch Hugging Face scikit-learn OpenAI Anthropic LangChain LangGraph RAG Vector DB MLOps

Languages

Python TypeScript Java Kotlin Go Rust JavaScript

Frontend

React Vue.js Angular

Cloud

Azure AWS GCP

Infrastructure

Kubernetes Docker Terraform Helm Cloud Foundry

Current Focus

  • Designing agentic AI architectures for autonomous decision-making in financial services
  • Building enterprise RAG pipelines with multi-source retrieval and domain-specific fine-tuning
  • Scaling AI platform infrastructure to support global GenAI adoption across business units
  • Exploring multimodal AI applications in insurance document processing and retail analytics

Open to collaborations on AI/ML, platform engineering, and open-source projects.

LinkedIn

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