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Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Mid-level strategy and operations professional specializing in SaaS, AI, and finance
Mid-level Technical Product Manager and R&D Software Engineer specializing in AI products
Mid-level Business Data Analyst specializing in healthcare and financial analytics
Mid-level Python Full-Stack Developer specializing in FinTech and ML systems
Mid-level Marketing Manager specializing in digital performance marketing
Executive financial technology leader specializing in AI, payments, and capital markets
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Junior Software Engineer specializing in Trust & Safety, QA automation, and ML
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation
Senior Data Scientist specializing in Generative AI/NLP for legal and healthcare domains
Principal Data Scientist specializing in Generative AI and MLOps
Senior Machine Learning Engineer specializing in GenAI, NLP, and MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise AI
Executive engineering leader specializing in SaaS platform transformation and AI
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Executive product leader specializing in retail, e-commerce, and SaaS innovation
Poorna Pedapudi
Mid-Level Software Engineer specializing in distributed backend systems and cloud-native microservices
“Software engineer focused on data platforms and applied LLM systems: built an internal data quality monitoring layer to catch silent data drift and iterated post-launch after finding ~30% false-positive alerts, reducing noise via dynamic baselines and improved structured logging. Also shipped a production RAG-based internal knowledge assistant over Jira/Confluence with citations, confidence-based fallbacks, and nightly automated evals to prevent regressions.”