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Vetted Fraud Detection Professionals
Pre-screened and vetted.
Nishant Pathak
Executive Engineering Leader specializing in cloud-native platforms and security
“Former CTO of EzCred, a fintech embedded finance/digital lending infrastructure startup that built an API-first underwriting and servicing platform using alternative data (e.g., GST and bank statements) to cut loan decisions from days to minutes. Helped raise $1M in seed funding, built the engineering org and compliance-ready cloud architecture, and ran partner pilots before the company shut down during COVID-driven lending market contraction.”
Anand Vallamsetla
Executive Engineering Leader & Systems Architect specializing in AI, cloud platforms, and FinTech
“Operator with 20+ years experience and a business degree who led the build and deployment of a Medicaid fraud investigation product for Texas HHSC OIG, cutting investigation time from ~2 years to 90 days. Has government go-to-market experience and has raised a friends-and-family round for an earlier startup concept; now pivoting toward a healthcare-focused venture after a cofounder with core tech could not continue.”
Alex M Lee
Staff Full-Stack Engineer specializing in Healthcare AI and FinTech payments
“Backend/data engineer from Oscar Health specializing in healthcare claims systems on AWS. Built HIPAA-compliant real-time services (FastAPI/Postgres/Kafka on EKS) and serverless ingestion pipelines, and led modernization of a legacy SAS claims pricing system to Python/Spark with rigorous parity validation. Demonstrated measurable impact with high uptime/low latency services and major Snowflake performance and cost reductions.”
Staff Software Engineer specializing in FinTech and payments platforms
Mid-Level Backend/Payments Engineer specializing in scalable microservices
Mid-level Full-Stack Python Developer specializing in FinTech and ML-driven automation
Executive Engineering Leader specializing in FinTech and Healthcare SaaS platforms
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level Software Engineer specializing in Python, ML/LLM systems, and scalable microservices
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Senior Full-Stack Engineer specializing in Ads and FinTech platforms
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Executive Enterprise Technology Transformation Leader specializing in cloud, platforms, and operations
Mid-level Software Engineer specializing in real-time backend systems and FinTech payments
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Mary Kotch
Executive CIO/CTO/CISO specializing in cloud, AI/ML, and cybersecurity transformation
“Fractional CTO and AI/ML consultant at Clover Health with deep insurance domain experience (15 years as CTO/CISO/AI). Has spent significant time in PE/VC-backed environments (including Aquiline Capital Partners and Apollo Group), designing and engineering platforms while delivering against budgets, audits, and regulatory compliance. Recently helped build an insurance startup (2020–2025) and is now seeking a full-time role at a startup.”
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Parth Vadera
Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps
“ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.”
Kaushik Mukherjee
Executive technology leader specializing in search, ads, and data/AI platforms
“Engineering/technology leader with payments (UPI) scale experience who built fraud and growth systems for tens of millions of daily transactions while keeping CAC and cost guardrails. Scaled an engineering org from 12 to 155 in a year using platform + pod structures, and institutionalized canary deployments with auto-rollback (cutting degradations ~75%) while leveraging GenAI for code and test automation.”