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Vetted Anomaly Detection Professionals
Pre-screened and vetted.
ROHITH DAMARLA
Mid-level Backend Engineer specializing in high-scale systems and LLM pipelines
“Open-source-focused TypeScript/JavaScript engineer who built a lightweight Node.js utility library to standardize LLM-agent message formatting, tool invocation, and safe schema-validated JSON outputs. Emphasizes composable abstractions, real-world performance profiling/benchmarks, and strong community feedback loops (GitHub issues, structured errors, logging hooks). Also did research at Syracuse University on converting natural language into structured JSON with validation layers.”
Jitao Lou
Senior Forward Deployed Engineer specializing in enterprise backend systems
“Led a government smart city deployment where success depended less on pure engineering and more on navigating policy, budget, and operational constraints. Built phased, cost-conscious systems combining data pipelines, on-prem AI, OCR, and human-in-the-loop workflows to deliver stable production outcomes and make ambiguous real-world data more controllable at scale.”
Harmeet Singh
Senior AI/ML Engineer specializing in NLP, computer vision, and cloud ML systems
“AI/ML engineer with 9+ years of experience building production recommendation and LLM systems end-to-end, from experimentation through deployment, monitoring, and retraining. Stands out for combining strong MLOps discipline with practical GenAI/RAG implementation, including measurable impact such as ~25% higher engagement on an e-commerce recommender and nearly 30% faster knowledge retrieval from internal documents.”
Sam Ian
Senior ML/AI Engineer specializing in LLMs, RAG, and healthcare AI
“Built a production-grade clinical and insurance document AI system in a HIPAA/PHI-regulated environment, taking it from experimentation through Azure deployment, monitoring, and iterative improvement. Stands out for translating RAG/LLM research into reliable microservices with strong safety controls, drift monitoring, and human-in-the-loop workflows that cut manual review time by 60-70%.”
Mid-level Machine Learning Engineer specializing in cloud ML pipelines and MLOps
Senior AI/ML Engineer specializing in Generative AI, NLP, and MLOps
Mid-level Full-Stack Software Engineer specializing in React/Next.js and performance optimization
Mid-level Generative AI Engineer specializing in LLMs and RAG for enterprise and FinTech
Mid-level Data Scientist specializing in insurance analytics and machine learning
Executive Technical Founder & Full-Stack Engineer specializing in FinTech platforms
Mid-Level Software Engineer specializing in full-stack, APIs, and embedded/IoT systems
Mid-level Data Scientist specializing in fraud detection and credit risk ML
Principal Software/Cloud Architect specializing in cloud-native platforms and solutions architecture
Junior Software Engineer specializing in secure backend systems and DevOps automation
Mid-Level Software Engineer specializing in backend systems and ML/LLM pipelines
Mid-level AI Engineer specializing in Generative AI and LLM agent systems
Senior Software Engineer specializing in AWS-native Python backend and data platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG systems, and cloud AI infrastructure
Intern Generative AI Engineer specializing in agentic RAG and LLM fine-tuning
Mid-level AI Engineer specializing in Generative AI agents and LLM production systems
Mid-level AI/ML Developer specializing in MLOps and healthcare predictive modeling