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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-level Full-Stack Developer specializing in FinTech and Healthcare platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech systems
Mid-level Machine Learning & Generative AI Engineer specializing in enterprise RAG and MLOps
Mid-level Data Scientist specializing in ML, MLOps, and forecasting for FinTech and AI hardware
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Mid-level Client Success Manager specializing in SaaS onboarding and workflow optimization
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Mid-level Full-Stack Engineer specializing in Python, FastAPI, and cloud-native systems
Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics
Senior Backend Engineer specializing in cloud-native microservices and secure APIs
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
NEHA KOLAN
Mid-Level Software Engineer specializing in microservices and cloud data pipelines
“Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.”
Mounika Gunturu
Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms
“Backend/data engineer from Oliver Wyman who built and ran production Python (FastAPI) services on AWS (ECS/Lambda/API Gateway) supporting risk modeling and regulatory reporting. Strong in reliability/observability, Glue-based ETL with data quality controls, and legacy SAS-to-Python modernization with rigorous parity validation; also demonstrated measurable SQL performance wins and cost-control improvements in serverless scaling. Based in Raleigh, NC and can travel onsite for important Bethesda-area meetings.”
Chakradhar Nidujuvvi
Mid-Level Software Engineer specializing in Java, Spring Boot, and AWS
“Built and deployed a production credit card fraud detection platform that scores transactions in real time using TensorFlow/scikit-learn models exposed via a Spring Boot REST API, with strict SLAs, fallback to legacy rules, and Splunk-based monitoring/drift tracking. Also has enterprise orchestration experience with TIBCO BusinessWorks (BW 6.6/BWCE), coordinating REST/SOAP services and JMS messaging (TIBCO EMS) with robust error handling and compensation logic.”
Anvith Reddy Dodda
Mid-level AI Engineer specializing in GenAI, NLP, and MLOps
“LLM/agentic-systems engineer with PayPal experience hardening an LLM-powered fraud support assistant from prototype to production, focusing on low-latency distributed architecture, rigorous evaluation/testing, and security/compliance. Comfortable in customer-facing and GTM contexts—runs technical demos/workshops, builds tailored pilots, and aligns sales/CS with engineering to close deals and drive adoption.”