.png){kind=logo}
Vetted Classification Professionals
Pre-screened and vetted.
Rajeshwar Ragupatula
Director-level AI Architect/Manager specializing in GenAI, MLOps, and enterprise automation
“GenAI/ML engineering leader (player-coach) who built and deployed an image-to-text production system for topology/resource diagrams, combining YOLO-based issue detection with an LLM to generate support-ready reports at scale. Heavy AWS stack (SageMaker, Step Functions, Lambda, CloudWatch, FastAPI, Kubernetes/Docker) with KPI-driven optimization (MTTR, P50), including ~21 custom labels and reported 30–50% faster issue identification while processing thousands of images in production.”
Mid-level AI Engineer specializing in Ambient AI and full-stack applications
Mid-level Full-Stack Engineer specializing in cloud-native microservices and AI/ML
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
Mid-Level Software Developer specializing in AI backend systems and distributed computing
Mid-level Data Scientist specializing in NLP, GenAI, and time-series modeling
Junior Applied ML & Data Engineer specializing in ML data quality and LLM inference systems
Mid-level AI/ML Engineer specializing in financial crime detection and retail analytics
Intern Data Analyst specializing in geospatial ML and business analytics
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
Mid-level Software Engineer specializing in cloud-native FinTech and SaaS platforms
Mid-level AI/ML Engineer specializing in recommendations, NLP, computer vision, and MLOps
Mid-level AI/ML Engineer specializing in cloud MLOps and agentic RAG systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Senior Generative AI Engineer specializing in RAG, LLM fine-tuning, and AI agents