# Akhila G

> AI/ML Engineer | Fraud Detection & LLM Systems | Stripe | Transformers · RAG · Agentic AI · MLOps

Location: San Francisco, California, United States
Profile: https://flows.cv/akhilag

I'm an AI/ML Engineer with 4+ years of experience building production-grade machine learning systems — mostly in fintech and payments, where the stakes are high and latency actually matters. At Stripe, I work on fraud detection at a global scale — from fine-tuning transformer models on proprietary transaction data to building GPT-4 powered tools that let fraud analysts deploy detection rules using plain English. It's the kind of work I find genuinely exciting: blending cutting-edge LLMs with real operational impact.

Before Stripe, I was at Razorpay in Bangalore, where I built end-to-end fraud pipelines processing millions of transactions, deployed real-time inference APIs serving 1,000+ RPS, and helped the team stay compliant with RBI regulatory standards around explainable AI.

A few things I care a lot about:
→ Shipping ML systems that actually work in production (not just notebooks)
→ Responsible AI - bias testing, explainability, governance
→ Making complex AI tools accessible to non-technical teammates

I hold a Master's in Business Analytics from the University of New Haven, which helped me bridge the 
gap between ML engineering and business strategy.

Always happy to connect with folks working on AI, fraud, fintech, or anything at the intersection of 
LLMs and real-world systems

## Work Experience
### AI/ML Engineer @ Stripe
Jan 2024 – Present | South San Francisco, CA
I work on fraud detection and risk ML systems at Stripe, building transformer-based models and GPT-4 powered agentic tools that help protect payments at a global scale. My work spans the full ML lifecycle, from fine-tuning LLMs on proprietary transaction data to deploying low-latency inference services that process billions of transactions daily.

### Machine Learning Engineer @ Razorpay
Jan 2021 – Jan 2023 | Bengaluru
At Razorpay, I built end-to-end fraud detection pipelines and real-time ML inference services handling 1,000+ requests per second across India's payments ecosystem. I also partnered closely with compliance teams on model explainability and AI governance to meet RBI regulatory standards.


## Education
### Master of Science in Business Analytics
University of New Haven


## Contact & Social
- LinkedIn: https://linkedin.com/in/akhila-g13579

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Source: https://flows.cv/akhilag
JSON Resume: https://flows.cv/akhilag/resume.json
Last updated: 2026-04-17