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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Manoj Panchakarla
Mid-level Data Engineer specializing in FinTech data platforms
“Backend-focused engineer with experience at Ramp, Easebuzz, and George Mason University, spanning data pipelines, workflow automation, and production reliability. Stands out for quantifiable performance gains, strong debugging instincts in distributed job systems, and translating ambiguous finance operations processes into measurable automation outcomes.”
Scott Campbell
Executive CTO and startup founder specializing in SaaS, AI, and healthcare technology
“Serial founder and fractional CTO with 8 companies founded and 3 exits, now looking to commit full-time to a venture-backable startup. Currently advising two startups that recently raised $400K friends-and-family and $1M pre-seed, and brings thoughtful perspective on venture-scale economics, team quality, and AI disruption risk.”
Steve Majko-Ruben
Executive software architect specializing in AI, Azure, and enterprise platforms
“Founder of NeuroCoreTech, an AI startup that has generated about $70K in under a year while building products including an interactive story platform, spam detection, and custom AI solutions. Brings startup experience dating back to 2009, exposure to $130M+ in fundraising, and a US patent, with a clear focus on revenue-first, privacy-conscious AI for PII/HIPAA-sensitive customers.”
Mid-Level Software/ML Engineer specializing in NLP, OCR, and fraud detection in FinTech
Mid-level Software Engineer specializing in cloud-native systems and machine learning
Mid-level Data Analyst specializing in AML, fraud detection, and cloud data pipelines
Intern Software Developer specializing in Java, Python, and web applications
Mid-level Growth Marketing Specialist specializing in paid media and SEO
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and LLM retrieval systems
Mid-Level Software Engineer specializing in scalable web and cloud platforms
Mid-level Software Engineer specializing in AI platforms and full-stack systems
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and predictive risk modeling
Intern AI/ML Engineer specializing in RAG and adversarial robustness
Mid-level Full-Stack Software Engineer specializing in Spring Boot microservices and cloud-native apps
Junior Full-Stack & LLM Application Developer specializing in agentic RAG systems
Intern Data Scientist specializing in AI, analytics, and public sector applications
Senior AI/ML Engineer specializing in NLP, LLMs, and FinTech systems
Senior Software Engineer specializing in Python microservices for FinTech and Healthcare
Staff Full-Stack Engineer specializing in FinTech, Healthcare, and Blockchain