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Vetted Machine Learning Engineers in Illinois
Pre-screened and vetted in Illinois.
Senior AI/ML Software Engineer specializing in production ML systems
Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Senior Data Scientist specializing in Generative AI and conversational AI
Sriram Rajaraman
Senior Infrastructure Platform Architect specializing in Kubernetes and hybrid cloud
“Platform/infra engineer with strong ownership of Kubernetes on VMware and day-to-day hybrid on-prem-to-AWS operations. Has hands-on experience automating infrastructure delivery with Terraform/Ansible/CI-CD, and has resolved real production issues spanning CSI storage reattachment during upgrades, vSphere storage-latency performance degradation, and hybrid connectivity/routing failures with improved validation, monitoring, and failover.”
Mid-level AI & Machine Learning Engineer specializing in production ML and LLM applications
Senior Machine Learning Engineer specializing in computer vision and healthcare AI
Senior Machine Learning Engineer specializing in MLOps and GenAI platforms
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-level Software Engineer specializing in backend systems and LLM applications
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI
Evan Z
Junior Software Engineer specializing in video streaming and processing systems
“Software engineering intern at China Telecom who built and continuously evolved a real-time transaction platform ("Smart Tangerine") focused on strong consistency and peak-hour concurrency. Implemented microservices with Redis and RabbitMQ to decouple heavy processing and cut latency (~80ms to ~30ms), and led a zero-downtime migration from a monolith using strangler pattern, dual-write, and traffic shadowing.”
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and risk/fraud analytics
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Junior Full-Stack Software Engineer specializing in video streaming and ML pipelines
Mid-level Machine Learning Engineer specializing in LLM inference optimization and MLOps
Junior Machine Learning Engineer specializing in LLM and multimodal systems
Mid-level Machine Learning Engineer specializing in LLMs and financial RAG systems