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Vetted Predictive Analytics Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in FinTech and Insurance platforms
Mid-level Machine Learning Engineer specializing in NLP, time-series forecasting, and edge AI
Executive Software Engineering Leader specializing in scalable SaaS and distributed systems
Mid-level Cloud Software Engineer specializing in AWS infrastructure and automation
Mid-level Data Scientist specializing in pricing, revenue optimization, and operational efficiency
Executive CIO and AI Transformation Leader specializing in cloud, cybersecurity, and enterprise automation
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-Level Backend & Data Engineer specializing in cloud infrastructure and analytics
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid-level Data Engineer specializing in cloud ETL, streaming, and ML-ready data pipelines
Mid-level Business Intelligence Engineer specializing in AI-powered analytics
Mid-level Business Analyst specializing in healthcare analytics and interoperability
Mid-level AI/ML Engineer specializing in generative AI and cloud ML platforms
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Executive technology leader specializing in AI-driven HealthTech and SaaS
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”
Vikas Katuru
Junior Full-Stack AI Engineer specializing in GenAI and secure data systems
“Backend-leaning full-stack engineer who has built AI-powered analytics products from 0→1, including a predictive analytics dashboard and an AI orchestrator for natural-language-to-database querying. Particularly strong in making LLM systems production-safe through schema validation, self-healing retries, monitoring, and retrieval optimization, with quantified impact on cost, latency, and quality.”