Vetted Forecasting Professionals

“Project/operations coordinator who helped spin off Cannabiz Advisor from an accounting firm, coordinating tax/accounting, marketing, sales, and client onboarding/training to launch the new service line and build a book of 30 clients within a few months. Also implemented a sales performance cadence at Orion Mobile with the VP of Sales, combining weekly metric reviews with structured rep action plans.”

“Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.”

“Web3 growth/content marketer with hands-on experience running a high-performing Chiliz Group Christmas Advent Calendar campaign that grew the email list 200%+ and achieved 97% daily participation, while boosting ecosystem awareness and contributing to TVL/token sales. Comfortable building early-stage protocol communities via Galxe bounties, ambassador programs, partnerships, micro-KOLs, and PR, and measuring creator-led growth with UTMs/referral codes.”

“Data scientist at Guardian Airwaves building a RAG-powered quiz generator using Grok AI, with hands-on experience solving hard document-ingestion problems (PDFs with images/tables) via unstructured.io and LlamaIndex. Has deployed production systems on AWS EC2 and brings a pragmatic approach to agent reliability (human-in-the-loop, LLM-based eval, latency/cost metrics) while effectively translating RAG concepts to non-technical stakeholders.”

“Commercial leader in the automotive/tools space currently serving as VP of Sales, managing a large global portfolio of major tool brands and distributors. Known for structuring low-risk, drop-ship seasonal programs that drove $3M–$5M incremental revenue and scaling Mac Tools’ non-tool business to ~$36M, with extensive Vendor of the Year recognition. Seeking to step back into a buyer/assortment-focused role and prefers remote work.”

“Operations leader at Bathworks of Michigan who scaled call-center and sales scheduling by commissioning a custom-built tool (drive-time + rep performance routing) as the org grew from ~10 to 30 sales reps, cutting appointment assignment to under 10 seconds. Uses a mix of frontline feedback frameworks and KPI analysis to drive efficiency (e.g., after-hours AI texting + shift changes) and has advised the founder on territory expansion, adding warehouses and leadership layers.”

“Research assistant at St. Louis University who built and deployed a production document-intelligence RAG system (Python/TensorFlow, vector DB, FastAPI) on AWS, focusing on grounding to reduce hallucinations and latency optimization via caching/async/batching. Also developed a personalized recommendation system for the Frenzy social platform and partnered closely with product/UX to define metrics and iterate on hybrid recommenders and cold-start handling.”

“Paid media performance marketer with experience running $50K+/month Meta/Instagram campaigns in healthcare (revision bariatric surgery), optimizing for patient CAC and booked surgeries rather than just CPL. Uses creative-first testing (testimonial/video-led) and conversion signal feedback via Meta Pixel + Conversion API, and applies a structured full-funnel budget allocation approach across Meta/Google/TikTok.”

“Sourcing/merchandising professional with experience supporting US brands via Youngone Corporation (YHT unit, Bangladesh), managing end-to-end vendor evaluation, FOB/MOQ/lead-time negotiations, compliance and AQL-based quality standards. Uses OTB, SKU productivity, margin and Q-score/customer feedback to rationalize assortments—citing a data-led shift where 30% of styles drove 70% of revenue and reallocating spend to higher-margin sustainable products improved sell-through, margin, and satisfaction.”

“Built a production-style LLM document summarization/generation workflow that mitigates token limits and reduces hallucinations using semantic chunking, FAISS-based embedding retrieval (top-k via cosine similarity), and section-wise generation. Orchestrated the end-to-end pipeline with AWS Step Functions and aligned outputs with sales stakeholders through demos, visuals, and documentation.”

“Cross-functional operator/chief-of-staff style leader who took a product from prototype to a live pilot in 3 months, spanning public-sector data normalization, an ML matching engine, a secure API, and KPI/investor demo instrumentation. Strong focus on executive alignment and productivity via Notion-based operating systems plus automated reporting (Python/Power BI), with experience supporting fundraising and go-to-market narratives.”

“Talent/Recruiting Operations leader who has run regional and national high-volume recruiting organizations (~40–50 people) and owned the full recruiting operating system end-to-end (ATS/CRM, analytics, workflows, training, and cross-functional governance). Known for rebuilding chaotic multi-state hiring engines into standardized, SLA-driven processes with real-time dashboards—cutting time-to-fill ~30% and boosting recruiter productivity >25%—and for leading major tooling implementations like GoodTime and advanced Lever reporting.”

“Strategic sourcing professional with strong vendor onboarding and negotiation approach grounded in open-costing transparency and commodity market analysis. Uses critical path trackers and cross-functional milestone governance to protect OTD, and has mitigated duty/commodity volatility by shifting sourcing and locking prices—avoiding a reported 10–12% cost increase while maintaining quality and delivery.”

“Performance marketer focused on high-intent lead generation, with experience managing $80K+/month spend for a home services lead-gen business (bathroom/windows/roofing). Runs an intent-based full-funnel system across Google Search/LSA, Meta prospecting + retargeting, and selective Performance Max, using bottleneck-driven, statistically disciplined testing to scale while protecting lead quality.”

“LLM engineer who built and deployed an emotionally intelligent AAC communication system using an emotion-aware RAG pipeline (Empathetic Dialogues + GoEmotions) and a PEFT-adapted model. Experienced with LangChain/LangGraph and custom Python orchestration, focusing on reliability (guards, schema validation, fallbacks), latency optimization, and rigorous evaluation (automatic metrics + human-in-the-loop), with a reported 18% user satisfaction improvement.”

“Founder and financial-operations-focused consultant who builds FP&A/BI frameworks for early-stage and legacy businesses, including KPI systems tied to month-end close and integrated manufacturing/distribution datasets (BOM, PPV, rolling forecasts). Drove a 400% cash-position increase for a distribution client by redesigning collections analytics (customer-level DSO + proprietary PTC ratio) and has coached PE-installed executives through U.S. operational/legal and cultural nuances.”

“Hospitality operator who has opened and started multiple restaurant and bar concepts, with a structured approach from concept/brand story and mission creation through to operational execution. Emphasizes repeatable standards, margin discipline (inventory, portioning, labor), and coaching founders/executives to build scalable, replicable operations.”