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Vetted Anomaly Detection Professionals
Pre-screened and vetted.
Sagar Sidhwa
Senior AI/ML Engineer specializing in LLMs, MLOps, and predictive analytics
“ML/AI engineer with hands-on experience building production MLOps systems for predictive maintenance and demand forecasting, including deployment, monitoring, and iterative retraining. Also shipped a RAG-based employee onboarding chatbot integrated with ServiceNow APIs and reports business impact of roughly $300k/month in reduced stockout and overstock costs.”
Payal Jadhav
Mid-level Software Engineer specializing in full-stack cloud and backend systems
“Full-stack JavaScript engineer (React/Node/Vue) who has operated like a maintainer by owning an internal component library with Storybook-style examples, documentation, and non-breaking versioning. Demonstrated strong performance engineering on a source code review service—profiling bottlenecks, fixing N+1 queries, adding caching, and trimming payloads to cut latency (e.g., ~100ms to <50ms) while rolling out incremental, test-backed improvements.”
Meet Vyas
Mid-level Software Engineer specializing in full-stack systems and AI applications
“Software engineer with 3 years at Gap Inc. who led a major modernization from monolith/legacy frontend to a React and Spring Boot microservices architecture, delivering 25% cost savings, 30% faster releases, and 50% performance gains. Also built a 0→1 startup product, MealShare AI, using managed cloud services to rapidly launch a real-time food redistribution platform.”
Surya Ravula
Junior Software Engineer specializing in backend systems and AI automation
“Backend/platform engineer with Boston Scientific experience building secure healthcare integrations, resilient AWS data pipelines, and a production internal LLM support chatbot. Stands out for combining legacy-system modernization, strong reliability practices, and measurable operational impact in regulated healthcare environments.”
Lokesh Jain
Senior AI/ML Engineer specializing in supply chain and healthcare systems
“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”
Rachana Munugala
Mid-level Backend Engineer specializing in distributed systems and FinTech AI platforms
“Engineer at Morgan Stanley working on AI-enabled trade surveillance and compliance routing systems. They’ve built and monitored chained agent workflows for retrieval, risk classification, and alert routing, with strong emphasis on auditability, hallucination prevention, and regulated-environment reliability.”
Kuwarpreet Singh
Junior ML and Full-Stack Engineer specializing in AI/ML applications
“Master's-trained candidate with an AI/ML specialization who combines hands-on machine learning project work with practical AI-assisted software development. They actively use Claude, ChatGPT, and Claude Code for debugging, API integration, multi-file refactoring, and end-to-end feature scaffolding, while emphasizing validation against official docs before shipping.”
Mid-level AI/ML Engineer specializing in NLP, MLOps, and production ML systems
Senior Cybersecurity & GRC Leader specializing in NIST RMF, FISMA, and Zero Trust
Junior AI/ML Engineer specializing in NLP, LLMs, and production ML systems
Entry-level Machine Learning Engineer specializing in healthcare and analytics
Mid-level Data Engineer specializing in cloud data pipelines and healthcare analytics
Mid-level Software Engineer specializing in cloud-native microservices and AI systems
Junior Full-Stack AI Engineer specializing in Agentic AI and RAG systems
Senior Machine Learning Engineer / Data Scientist specializing in LLMs, RAG, and MLOps
Senior Strategy & Operations Analyst specializing in advanced analytics and GTM optimization
Mid-Level Software Development Engineer specializing in cloud-native microservices and AI/ML
Mid-Level Software Developer specializing in AI chatbots, data platforms, and cloud systems
Principal Software Architect specializing in distributed cloud platforms and AI-enabled DevOps
Mid-level Software Engineer specializing in AI, LLM systems, and backend platforms
Entry-Level Data Analyst specializing in AI agents and machine learning