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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Mid-level MLOps/Machine Learning Engineer specializing in cloud-native production ML
Mid-level Data Scientist / GenAI Engineer specializing in LLM agents, RAG, and OCR
Mid-Level Software Engineer specializing in Python backend and API automation
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Full-Stack & AI Engineer specializing in FinTech and ML-powered applications
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems
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.”
SaiDheerajReddy Gadikota
Mid-level AI Engineer specializing in agentic systems and enterprise LLM platforms
“Current AI engineer at a startup who has spent the last year architecting multi-agent systems for software development workflows. Stands out for combining LLM speed with engineering discipline—using tools like Pydantic, LangGraph, and LangChain to build reliable, production-ready agent workflows with validation, routing, and retry logic.”
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 and web platforms
Mid-Level Full-Stack Software Engineer specializing in AI-powered web applications
Mid-level Data Scientist specializing in computer vision and behavioral analytics