.png){kind=logo}
Vetted Fraud Detection Professionals
Pre-screened and vetted.
Mid-level ML Engineer specializing in FinTech risk, fraud, and GenAI RAG systems
Mid-level Data Scientist specializing in ML, NLP and forecasting
Mid-level Software Engineer specializing in ML, cloud microservices, and real-time analytics
Mid-level AI/ML Engineer specializing in MLOps, fraud detection, and predictive analytics
Mid-level AI Engineer specializing in NLP, LLM fine-tuning, and RAG systems
Mid-level Data Engineer specializing in cloud data pipelines for Healthcare and FinTech
Junior Software Engineer specializing in distributed systems and cloud platforms
Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation
Mid-level AI/ML Engineer specializing in Generative AI and cloud MLOps
Mid-level Generative AI & Computer Vision Research Engineer specializing in diffusion and multimodal models
Junior Full-Stack Python Developer specializing in cloud-native web applications
Mid-Level .NET Software Engineer specializing in cloud-native enterprise applications
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Mid-level AI/ML Engineer specializing in fraud detection and enterprise ML systems
Principal Infrastructure Engineer specializing in distributed systems, cryptography, and hardware security
sathwik kuchana
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”