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Vetted AI Engineers
Pre-screened and vetted.
Senior AI Engineer specializing in NLP and large language models
Senior Software Engineer specializing in Python AI/ML integration and experimentation pipelines
Junior AI Engineer specializing in LLM systems and network automation
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Mid-level Gameplay/AI Engineer specializing in Unity, XR, and narrative NPC systems
Senior AI Engineer specializing in machine learning, NLP, and generative AI
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems
Junior Software Engineer specializing in AI infrastructure and applied machine learning
Junior AI Software Engineer specializing in LLM systems and retrieval (RAG)
Rajan Souda
Mid-level AI Engineer specializing in Generative AI and MLOps
“Built and deployed a production LLM-powered clinical support assistant at BJC HealthCare (RAG + transformer) to answer patient questions, summarize clinical notes, and support appointment workflows. Implemented PHI-safe data pipelines (Spark/Hadoop/Kafka) with automated scrubbing, dataset versioning, and audit logs, and runs the system on Docker/Kubernetes with Pinecone vector search while partnering closely with clinical operations staff.”
Jeremiah Medina
Senior AI/ML Engineer specializing in LLMs, RAG, and cloud-native MLOps
“Built and owned a real-time clinical AI assistant at Andor Health, taking it from prototype through deployment, monitoring, and iterative improvement. Brings strong healthcare-focused GenAI experience across RAG, hybrid retrieval, LoRA fine-tuning, and production Python services, with measurable gains in accuracy, speed, and reliability.”
Chandra sai kiran Kammari
Mid-level Machine Learning Engineer specializing in fraud detection and real-time personalization
“ML/LLM engineer with Stripe and Adobe experience who productionized a transformer-based Payments Foundation Model for real-time fraud detection at global scale (billions of transactions). Built petabyte-scale ETL/feature pipelines (Spark/EMR, Airflow, dbt, Kafka/Flink) and achieved <100ms multi-region inference (EKS, TorchServe, edge/Lambda, GPU/CPU routing) with strong PCI-DSS/GDPR compliance and explainability (SHAP/LIME), reporting a 64% fraud accuracy improvement.”
Mid-level Software Engineer specializing in robotics, AI, and full-stack systems
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Mid-level AI Engineer specializing in LLM applications and personalization
Mid-level Software Engineer specializing in Cloud, Data Pipelines, and IoT
Mid-level AI/Software Engineer specializing in NLP pipelines and LLM-driven automation
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps