Vetted Financial Modeling Professionals

“Data-centric operator who supports senior executives by anticipating recurring questions, building lightweight systems (meeting cadence/touchpoints), and driving cross-team clarity through rigorous documentation. Recently managed a staffing plan after significant practice turnover, navigating competing principal expectations and capability gaps while maintaining executive trust and positive feedback through proactive level-setting and discretion with PII/PHI.”

“Robotics engineer who worked on a lunar rover program, building a simulation environment that mirrored real hardware interfaces and incorporated moon-terrain slip/friction modeling validated against a physical “moon yard.” Also integrated an ML-based munition X-ray inspection system via REST APIs, deploying and scaling inference on Azure with Kubernetes plus Prometheus monitoring, load balancing, and self-healing reliability mechanisms.”

Grant Ge

Screened

Mid-level Venture Capital Investor specializing in deep tech, climate tech, and industrial AI

Houston, TX6y exp

“Investor/VC-style operator focused on proactive founder sourcing and early-stage evaluation, leveraging ecosystem relationships, events, and thesis-driven research in industrial/energy domains. Has concrete examples of advancing industrial digitalization and industrial sensing opportunities, and of nurturing a cold outreach into an active pipeline by helping founders validate markets and pivot a modular battery/BMS concept toward an RV trailer use case.”

YAKKALI PAVAN

Screened

Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems

USA6y exp

“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”

Tamara Eliscovich Sigal

Screened

Mid-level Analytics & Strategy professional specializing in FinTech and SaaS revenue growth

New York, NY5y exp

“Data-driven operator/analytics leader with experience spanning post-acquisition integration (Papaya Global/Azimo), executive BI systems (warehouse + dbt + Looker), and high-tempo operations leadership (managed Rappi’s Argentina fleet during COVID). Has repeatedly aligned senior stakeholders by defining KPIs upfront, building scenario models in SQL/Python, and operationalizing a trusted single source of truth for leadership.”

James Hallahan

Screened

Director-level Product & Growth Marketing leader specializing in gaming and consumer tech

Remote14y exp

“Growth and brand marketing leader with senior experience across gaming (PlayStation Plus; Head of Marketing at Devsisters; also mentions Imangi), known for data-driven UA scaling (LTV/ROAS), systematic creative testing, and integrated multi-channel launches that drove app store #1 rankings and improved retention/revenue. Also an active DJ and event producer with hands-on creator/influencer program experience, bringing strong creator-culture intuition to performance marketing.”

“Private equity-style origination/pipeline professional focused on sourcing and engaging founders of family-/privately-owned businesses via advisor networks and direct outreach. Demonstrates strong underwriting instincts (EBITDA quality, concentration, leverage, capital structure/ABS) and has progressed proprietary opportunities into management meetings and site visits, including a Canadian family-owned company pursuing a >$1B project requiring third-party investment.”