Vetted Predictive Analytics Professionals

Christopher Bun

Screened

Executive AI/ML technology leader specializing in healthcare, biotech, and legal AI

Irvine, CA17y exp

“Repeat founder and startup advisor with experience spanning academic, health tech, legal tech, sports, and gaming. Has participated in fundraising and due diligence and has built companies, engineering teams, and software platforms from scratch, with a strong product-design-first approach to product-market fit and market selection.”

Wendy Liu

Screened

Mid-level growth marketing manager specializing in digital strategy and analytics

New Haven, CT4y exp

“Early-career candidate with internship experience spanning podcast/community outreach and B2B SaaS outbound campaigns. They stand out for combining personalized research, webinar-led demand generation, and data-driven email optimization, citing results such as 60% open rates, roughly 100 booked consultations, and a 40% conversion lift from CTA changes.”

Shuvam Mitra

Screened

Mid-level Data Scientist specializing in anomaly detection and production ML

Pittsburgh, PA4y exp

“Interned at Backblaze building production AI systems for incident response and security operations, including an internal LLM-powered incident triage assistant that used Snowflake + RAG over historical tickets/postmortems and delivered results via Slack and a web UI. Emphasizes reliability (PII filtering, grounding, schema validation, fallbacks) and rigorous evaluation/observability (offline replay, partial rollouts, time-to-first-action metrics, Prometheus/Grafana).”

“Senior technology and venture-oriented leader pursuing a CTO role, with hands-on experience advising an AI startup and a VC firm while also building incubation and technology advisory functions at Iron Mountain. Notably brought a cybersecurity product to market in six months and helped position a blockchain product through early deal development, showing a strong blend of product, strategy, and venture-building capability.”

“ML/AI engineer with hands-on ownership of production computer vision and GenAI systems, spanning real-time public safety video analytics and RAG-based knowledge assistants. Stands out for translating research-oriented approaches into scalable, monitored production systems with clear business impact, including 50% latency reductions, 25% faster response times, and 40% lower document search time.”