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Vetted LightGBM Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in full-stack cloud-native and AI/LLM systems
Mid-level AI/ML Engineer specializing in Generative AI and Azure MLOps
Mid-level Backend Software Engineer specializing in Python APIs and cloud deployment
Mid-level AI/ML Engineer specializing in predictive modeling and NLP for healthcare and FinTech
Mid-level AI/ML Engineer & Data Scientist specializing in NLP and production ML
Mid-level AI & Machine Learning Engineer specializing in MLOps and NLP
Mid-level AI/ML Engineer specializing in healthcare analytics and generative AI
Mid-level AI/ML Engineer specializing in healthcare GenAI and MLOps
Mid-level Applied AI/ML Engineer specializing in scalable generative model infrastructure
Mid-level Machine Learning Engineer specializing in production MLOps and healthcare analytics
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Mid-Level AI Engineer specializing in LLM systems, GPU optimization, and multi-agent orchestration
Mid-level Machine Learning Engineer specializing in Generative AI, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG for healthcare
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
sai anuragh Sangoju
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”