Vetted Forecasting Professionals

“Serial founder and agency leader (recent agency exit with completed 3-year earn-out) currently serving as COO but prefers CEO/founder role. Spun Camp Native out of an agency after spotting a hospitality tech gap, raised venture funding, scaled partnerships to 800+ properties, and led the company to a private equity acquisition. Uses AI tools to dramatically accelerate go-to-market, research, and validation cycles.”

“Creator-first growth and partnerships operator spanning gaming and consumer (skincare) launches, combining creator-led activations with paid amplification across Meta/TikTok/Discord. Strong in performance-based deal structures and rigorous measurement (CAC, ROAS, cohort/LTV) to scale what works and stop what doesn’t; has delivered 3.4x ROAS partnerships and a 31% new-customer lift in a GTM.”

“Digital Specialist/Media Buyer at John 3:16 who managed $50K+/month in spend (≈$500K/year) across a broad omnichannel mix (search, social, programmatic, CTV/OTT/DOOH, audio, geofencing, email acquisition). Delivered 17% YoY growth vs a 7–8% target and implemented new online giving options (DAF, crypto, stock) contributing to 24% growth on a ~$15M annual giving base.”

“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”

“Graduate student taking advanced coursework in NLP, generative image modeling, and computer vision; built a PPO reinforcement-learning agent for a Super Mario platformer with careful reward shaping and metric-driven evaluation. In a recent internship designing credit risk models, created a 10-method feature-selection voting framework and achieved ~10% out-of-sample performance improvement while reducing features to mitigate overfitting.”

“Backend engineer who evolved and migrated a real-time smartwatch telemetry ingestion/analytics platform in a healthcare context, focusing on reliability under poor network conditions. Experienced with Python/FastAPI and Java microservices, PostgreSQL performance tuning, and production-grade security (JWT/OAuth, RBAC, RLS) with incremental rollout and parallel-run migration strategies.”

“Data/ML practitioner who has built a production RAG-based knowledge assistant integrated into Microsoft 365/internal dashboards to help employees query internal documents in plain English. Experienced orchestrating and hardening ETL pipelines with Airflow and Azure Data Factory (validation, retries, monitoring) and running end-to-end model evaluation and production performance tracking via Power BI.”

“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”

“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”

“HR leader with ~20 years of experience focused on raising talent and performance standards through structured hiring (Bar Raiser veto panel), output-linked incentives, and rigorous operating cadences. Reports quantified impact including +21% revenue per head and 93% top-performer retention, and has built recruiting-to-revenue pipelines plus performance-gated onboarding/certification boot camps aligned with Finance and Sales.”

“Built an LLM-driven MLOps agent at SBD Technologies that automated an EV-charging prediction workflow end-to-end, integrating with real-time Kafka/FastAPI systems supporting 120K+ chargers at 99.99% event delivery. Addressed frequent schema drift by implementing SQLAlchemy/Flyway validation (60% reduction in drift issues) and deployed as Kubernetes microservices with GitHub Actions CI/CD; also has Airflow-based ingestion/crawling experience into Snowflake and stakeholder-facing delivery via a Fleetcharge PWA.”

“Built and supported a production analytics backend (Python, PostgreSQL/Teradata, Airflow) powering KPI/reporting dashboards, and resolved peak-time latency/timeouts through systematic SQL tuning (EXPLAIN ANALYZE, indexing, query rewrites, pre-aggregations). Also shipped an applied AI-style feature that generates plain-language report summaries from pre-computed metrics with validation, monitoring, and fallback to manual review.”

“Entrepreneur with 20+ years in the recruiting industry building a Salesforce-based CRM tailored to track candidate outreach from initial identification (positioned as a differentiated alternative to traditional ATS workflows). Previously launched a small consulting company after spotting unmet technical needs among small medical practitioners, emphasizing branding and relationship-driven business development.”

“AI Researcher with production experience building a real-time computer-vision detection pipeline augmented by an LLM-based verification layer to cut false positives (~78%) and reach ~90% real-world accuracy. Also partners cross-functionally with Product/Sales/Marketing to shape AI feature prioritization and market positioning using analysis and interactive dashboards.”

“Frontend-focused engineer with startup experience (SmartPath, OPC AI) who owned and evolved an internal React/TypeScript component library treated like OSS—refactoring core form and API wrapper modules for stability, type safety, and smaller bundles. Comfortable diagnosing production issues via logs/API traces and shipping end-to-end fixes with tests and documentation, including internal workshops to drive adoption.”

“Sales professional at AutoSherpa who partners closely with product/engineering to resolve CRM data-sync issues affecting pipeline accuracy and sensitive customer data handling. Experienced running multiple customer onboardings in parallel using structured tracking (CRM/project boards), early risk logging, and weekly stakeholder syncs; targeting $100k base and open to equity.”

“Procurement/sourcing professional with hands-on end-to-end purchasing experience using SAP/ERP—checking inventory, issuing POs, comparing approved suppliers on cost/lead time/performance, and tracking orders through delivery. Demonstrated strong cost control by catching invoice vs PO mismatches (including unapproved freight charges) and improving a late supplier’s OTD through tighter communication and expectations.”

“Frontend developer who led the COC.ca (Canadian Opera Company) site end-to-end as the sole FE engineer on an AgilityCMS/.NET stack, owning master/page templates, modules, and quality. Emphasizes accessibility and responsive design, performing cross-browser/device testing with tools like JAWS, NVDA, Axe, Lighthouse, and Siteimprove; more recently built a Next.js/React/TypeScript video viewer with modal/video state management.”

“Internship project building and deploying a LLaMA-based, RAG-enabled copilot inside a Professional Services Automation platform, enabling natural-language navigation, text-to-SQL reporting, and project/resource/budget insights across multiple modules. Addressed real production issues like context drift and vague queries with hybrid search, metadata enrichment, and an intent classification/rewriting layer, orchestrated via Apache Airflow—ultimately cutting PMO reporting time by 40%.”

“Marketing Director-level CRM/lifecycle marketer with deep restaurant/franchise and DTC experience, known for using CDP-driven segmentation and local-store personalization to materially lift loyalty (18% to 30%) and shift visit frequency (60% monthly-to-weekly). Comfortable integrating data across POS/CRM/email/feedback systems via APIs and running continuous A/B testing, plus strong stakeholder management to win franchisor buy-in through pilots and measurable outcomes.”

“B2B SaaS Customer Success Manager based in the San Francisco Bay Area with 5–6 years of experience spanning big tech (Google) and startups. Has owned large enterprise portfolios (80+ accounts) and delivered strong outcomes including 110% NRR, 98% retention, and a 60% reduction in onboarding time by building scalable playbooks. Also brings martech/SEO analytics experience and hands-on technical problem solving (including Python scripting to unblock third-party API integrations).”