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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Software Engineer specializing in cloud-native distributed systems
Staff Data Scientist / AI-ML Engineer specializing in fraud detection, NLP, and recommendations
Senior Software Engineer specializing in cloud-native healthcare platforms
Executive engineering leader specializing in aerospace, cloud infrastructure, and mission systems
Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs
Senior Software Engineer specializing in healthcare imaging and FinTech systems
Senior Frontend Software Engineer specializing in FinTech and Healthcare IT
Senior Software Engineer specializing in full-stack platforms and AI-driven healthcare systems
Senior Full-Stack Software Engineer specializing in Telehealth and FinTech
Senior Software Engineer specializing in FinTech payments and scalable platforms
Executive Engineering & Product Leader specializing in digital commerce, customer platforms, and applied AI
Executive AI/ML Cloud Architect specializing in enterprise and humanitarian AI systems
Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems
Senior Full-Stack Engineer specializing in healthcare, cloud, real estate, and FinTech
Senior Software Engineer specializing in AI backend platforms and FinTech systems
Howard Ogawa
Executive product leader specializing in e-commerce, marketplaces, and direct-to-consumer platforms
“Senior product leader with high-scale marketplace and commerce experience at Ticketmaster and GOAT, spanning checkout, CX automation, logistics, fraud, payments, and catalog. Stands out for pairing rigorous experimentation and measurable business impact—including $60M+ incremental revenue and major conversion gains—with a thoughtful human-centered AI philosophy and a strong track record of building and promoting PM teams.”
Qianfan Luo
Junior Software Engineer specializing in backend systems and AI/ML pipelines
“Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).”
Shailaja Domala
Executive product and AI leader specializing in data platforms and analytics
“Engineering leader with deep experience at Visa building and modernizing large-scale analytics platforms, including refactoring legacy systems into globally available microservices on AWS. Combines hands-on technical judgment in architecture, search platform evaluation, and service reliability with management of distributed international engineering and data teams.”
Kowshika M
Mid-level AI/ML Engineer specializing in LLM fine-tuning, inference optimization, and AI safety
“AI/LLM engineer with production experience at NVIDIA, where they fine-tuned and deployed a financial-services chatbot and cut latency ~50% using TensorRT + NVIDIA Triton, scaling via Docker/Kubernetes. Also has consulting experience at Accenture delivering a predictive maintenance solution for a logistics network, bridging non-technical stakeholders with actionable dashboards.”
Nikhil Reddy
Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms
“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”
Krishna Reddy
Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants
“Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.”