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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Executive FinTech Engineering Leader specializing in core banking, payments infrastructure, and AI
Iskhak Ishmakhametov
Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems
“Full-stack product engineer with a strong real-time systems focus: built and rolled out a WebSocket-based notifications system (with robust reconnect/resync and event ordering protections) that cut update latency to under 200ms. Also owned a workflow automation platform backend in FastAPI (JWT/RBAC, versioned APIs, standardized errors), designed the PostgreSQL schema for workflows/tasks/executions, and operated deployments on AWS ECS Fargate with blue-green CI/CD and performance stabilization via caching and autoscaling.”
Vinith Nagelly
Mid-level Full-Stack Developer specializing in Python/Django and React
“Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.”
Mid-Level Full-Stack Software Engineer specializing in AI-powered web applications
Mid-level Data Scientist specializing in computer vision and behavioral analytics
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
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.”
Senior Product & Operations Manager specializing in marketplaces, growth, and AI quality & safety
Junior Full-Stack Web Developer specializing in React/Next.js and Node.js