Open to opportunities

Ritik Raj

@ritikraj6

Message

I build secure full-stack platforms, AI fraud detection systems, and scalable backend execution workflows.

India

Message

What I'm looking for

I'm looking to build secure, scalable full-stack and backend systems, with opportunities to work on AI-driven products, cloud workflows, distributed architectures, and production-grade engineering challenges.

I've built AEGIS, an AI fraud mitigation hub that combines real-time transaction analytics, anomaly detection, and an NLP-driven AI Copilot for complex validation rules.

I engineered an Isolation Forest pipeline with feature engineering across transaction matrices, achieving a 94% precision rate. I also designed structured LLM prompt orchestration that reduced manual configuration latency by 45% while meeting sub-100ms processing constraints.

I built a remote code execution engine and online judge using MERN, Docker, Redis, and PostgreSQL, including isolated ephemeral Docker sandboxes and an asynchronous task queue supporting 500+ concurrent requests with sub-150ms evaluation latency.

I'm pursuing a B.E. in Electrical and Electronics Engineering at Bangalore Institute of Technology while building secure web products, optimizing databases, and contributing to technical communities through Robolution Club and NSS.

Experience

Work history, roles, and key accomplishments

Current

AI Fraud Mitigation Hub Developer

Current

AEGIS

Feb 2026 - Present (6 months)

Architected a real-time intelligent transaction security framework, decoupling an asynchronous data ingestion backend from a live analytics dashboard to actively intercept anomalous financial behaviors. Engineered an unsupervised anomaly detection pipeline utilizing the Isolation Forest algorithm, achieving a 94% precision rate.

Python Machine Learning REST APIs Git Isolation Forest NLP LLM Anomaly Detection