I am an AI-focused Backend / Full Stack Engineer with hands-on experience building Python-driven services across payments, data quality, fraud detection, and AI-infused risk scoring. I enjoy designing scalable microservices, optimizing latency, and collaborating with data science and product teams to productionize ML models with robust versioning and rollback hooks. Most recently at Stripe and Infinite Infolab, I built AI-enabled backend systems and cloud-native APIs that handle tens of millions of events daily, delivering reliable performance and reducing manual triage and incidents. I’m passionate about building systems that scale globally and empower teams to ship impactful features quickly.

KOMMUGURI SURYA TEJA

I am an AI-focused Backend / Full Stack Engineer with hands-on experience building Python-driven services across payments, data quality, fraud detection, and AI-infused risk scoring. I enjoy designing scalable microservices, optimizing latency, and collaborating with data science and product teams to productionize ML models with robust versioning and rollback hooks. Most recently at Stripe and Infinite Infolab, I built AI-enabled backend systems and cloud-native APIs that handle tens of millions of events daily, delivering reliable performance and reducing manual triage and incidents. I’m passionate about building systems that scale globally and empower teams to ship impactful features quickly.

Available to hire

I am an AI-focused Backend / Full Stack Engineer with hands-on experience building Python-driven services across payments, data quality, fraud detection, and AI-infused risk scoring. I enjoy designing scalable microservices, optimizing latency, and collaborating with data science and product teams to productionize ML models with robust versioning and rollback hooks.

Most recently at Stripe and Infinite Infolab, I built AI-enabled backend systems and cloud-native APIs that handle tens of millions of events daily, delivering reliable performance and reducing manual triage and incidents. I’m passionate about building systems that scale globally and empower teams to ship impactful features quickly.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

AI Backend Engineer at Stripe
August 1, 2025 - Present
Designed backend services in Python (FastAPI) to integrate AI-driven risk and anomaly signals into payment flows, flagging suspicious transactions early and reducing downstream chargeback investigations by 21%. Implemented an event-driven data pipeline using Kafka and AWS S3 to stream payment and customer behavior signals into AI scoring services, supporting real-time decisions at peak volumes exceeding tens of millions of events per day. Integrated LLM-based classification and enrichment using OpenAI APIs to auto-tag merchant support tickets and payment disputes, cutting manual triage effort for operations teams by 38%. Optimized latency-sensitive APIs backed by PostgreSQL and Redis, rewriting query paths and cache strategies that brought p95 response times down from 420 ms to under 180 ms during high-traffic checkout windows. Deployed and operated AI-enabled backend services on AWS (ECS, Lambda, IAM, CloudWatch) with structured logging and alerts, keeping production error rates below
Full Stack Developer at Infinite Infolab
February 1, 2021 - July 1, 2023
Developed backend APIs in Python (FastAPI) to handle core business workflows and data validation, supporting 100K+ monthly active users with stable response times under 250 ms. Implemented cloud-native services on AWS (EC2, S3, RDS, IAM), setting up environment isolation and automated deployments that reduced release-related issues by 35%. Built data processing jobs in Python and Pandas to clean and aggregate application events, enabling lightweight ML-based scoring logic that improved feature recommendations by 12%. Designed responsive frontend views using React and TypeScript, integrating backend APIs for dashboards and admin tools used daily by internal ops and customer teams. Optimized database queries in PostgreSQL by adding indexes and rewriting joins, cutting slow-running reports from 20+ seconds to under 6 seconds. Added structured logging and monitoring using CloudWatch and application-level metrics, helping the team catch production issues early and lowering customer-reported

Education

Master of Science in Information Technology at Arizona State University
January 11, 2030 - December 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services