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Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Senior Digital Analyst specializing in marketing analytics, personalization, and MarTech
Mid-level Machine Learning Engineer specializing in GenAI, LLM agents, and MLOps
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Data Science Manager specializing in machine learning and predictive analytics in financial services
Mid-level Data Scientist specializing in GenAI, NLP, and agentic RAG systems
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and big data on cloud platforms
Senior Data Engineer specializing in cloud-scale data pipelines and legal data systems
Staff Machine Learning Engineer specializing in MLOps, cloud AI, and generative AI
Principal Machine Learning Architect specializing in AI platforms and data science
Executive AI Engineering Leader specializing in research-to-production LLM systems
Executive Technology & Data Leader specializing in AI/ML strategy and digital transformation
Senior Data Analyst specializing in healthcare and financial analytics
Senior Business Analyst specializing in data analytics and business intelligence
Mid-level Generative AI Engineer specializing in LLMs, NLP, and multimodal systems
Senior Data Engineer specializing in cloud-scale pipelines and legal data utilities
Mid-level Financial Analyst specializing in banking and credit-risk analytics
Mid-level Business Analyst specializing in finance, data analytics, and AI infrastructure
Leela Tikkisetty
Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems
“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”
Abhinav Sharma
Mid-level Technical Consultant specializing in Appian delivery and data/AI workflow automation
“Appian consultant/engineer focused on insurance and financial services modernization and AI-enabled workflows. Built and productionized an AI-driven insurance submission intake system (email ingestion, classification/extraction, HITL review) cutting processing time from 2+ hours to under 10 minutes, and delivered semantic smart search with guardrails and UAT-driven ranking improvements. Also partnered with a global bank CTO org, running sessions with 200+ senior leaders to automate regulatory/board metric reporting via platform integrations and attestation.”
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”
Alexander Goldberg
Executive Technology & Product Leader specializing in AI/AR SaaS and cybersecurity
“Engineering/technology leader with mission-critical experience at JPL NASA on the Mars Curiosity Rover, delivering an AI-driven navigation system designed for zero tolerance for mistakes and reportedly operating with no failures for 15+ years. Also led a monolith-to-microservices, cloud-native migration that improved scalability by 300% and cut deployments from days to hours, and is comfortable switching between executive fundraising/stakeholder communication and deep technical leadership.”