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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Intern Machine Learning & Computer Vision Engineer specializing in 3D reconstruction
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP/RAG
Mid-level Java Full-Stack Developer specializing in cloud microservices and AI/ML integration
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Senior Full-Stack Software Engineer specializing in web apps and distributed systems
Aditya Reddy Gunda
Intern AI/ML & Data Engineer specializing in deep learning, NLP, and cloud data pipelines
“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”
Junior Full-Stack Web Developer specializing in React/Next.js and Node.js
Senior Product & Operations Manager specializing in marketplaces, growth, and AI quality & safety
Senior Machine Learning Engineer specializing in NLP and production ML systems
Junior Software Engineer specializing in Python microservices and AWS
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud systems
Mid-level Full-Stack Developer specializing in Python, React, and cloud-native microservices
Galvin Mendonca
Entry-level Full-Stack Engineer specializing in AI, web, and mobile development
“Front-end/product engineer who fully owned and built the Rouge Dashboard, an internal enterprise SaaS platform consolidating 11 AI-powered tools for five business units at Rouge International. Particularly strong in browser-based UI architecture for AI and CRM-heavy workflows, with proven adoption from 25 of 27 non-technical stakeholders and zero role-based access breaches.”
Junior Python Developer specializing in computer vision and deep learning