Vetted Forecasting Professionals

“Backend engineer who replaced an Excel-heavy forecasting workflow with a secure, auditable FastAPI system (React UI + relational model + async workers), emphasizing deterministic processing, idempotency, and versioned ledger-style ingestion. Led a monolith-to-FastAPI migration at Bounteous using a strangler approach, feature-flagged incremental rollout, and data reconciliation/shadow-compare to protect integrity while scaling onboarding workflows.”

“Paid media strategist with ~25 years of client-facing performance marketing experience, owning seven-figure monthly budgets across Google Ads, Microsoft Ads, and Meta. Led an international North America campaign for Pirelli Tires that increased unit sales 37% in under a year, and has a track record of using rigorous testing and attribution to reallocate spend (including shifting budget from outdoor to digital to fill a luxury apartment building). Experienced advising automotive clients through 2025 market headwinds and retaining major accounts by translating complex performance data into decisive action.”

“Operations/finance leader who repeatedly stood up full business infrastructure for early-stage expansions, including being employee #1 after a cross-country relocation and launching US operations for an Australian company. Also helped professionalize a ~$40M Patriot Supply Store by moving the business to GAAP/accrual accounting and building policies/processes to support a private-equity-ready exit.”

“Operator/program leader from Keyo who builds the “operating backbone” for fast-moving teams—OKRs/KPIs, dashboards, SOPs, and tight decision cadences. Led end-to-end initiatives spanning supply/delivery stabilization, finance reporting/forecasting inputs, vendor alignment, and company-wide SOC 2 Type II compliance with centralized audit evidence.”

“Partnerships and GTM operator with experience across healthcare and the creator ecosystem: sourced and negotiated influencer deals for hormone healthcare products, and leveraged a personal network to land a major B2B white-label partnership driving steady monthly B2C sales. At TELUS Health, led a Learning product relaunch from one-time purchases to subscriptions (28% conversion vs 30% goal) and built a webinar acquisition loop optimized through iterative conversion experiments.”

“Fashion buyer/category manager with end-to-end ownership of Shopbop’s evening business, using Excel-driven classification and pricing tier analysis to uncover demand opportunities and deliver +20% above annual sales target on higher margin. Experienced negotiating vendor sell-through agreements (e.g., Marchesa Notte) and using RTV to reduce inventory risk while maintaining full-price selling; also has a track record coaching buyers to drive incremental revenue (e.g., $350K unplanned full-price sales via an exclusive delivery).”

“Built and deployed an LLM/RAG system that uses differential privacy and distributional similarity checks to transform private data into a non-sensitive knowledge base while preserving utility. Also has experience demonstrating adversarial ML concepts (FGSM) to non-technical audiences by focusing on observable model behavior rather than implementation details.”

“LLM/agentic systems practitioner focused on taking customer prototypes to production by hardening reliability (APIs, monitoring, security) and adding guardrails, evals, and incremental rollouts. Experienced diagnosing RAG/agent failures via structured tracing and fixing retrieval-quality issues (freshness checks, filters, schema enforcement). Also supports pre-sales by leading developer demos/workshops and building targeted POCs to address scalability/reliability objections and drive adoption.”

“Operated as a data-driven cross-functional leader during a major company transition, owning initiatives across sales forecasting, pipeline analytics, and GTM process changes. Built an executive operating cadence with dashboards and weekly briefing packets that reduced information-chasing and improved decision-making, and successfully mediated Sales/Finance forecast assumption disputes using a single-page, fact-based recommendation.”

“Sourcing/procurement professional from Pavana Impex who has owned end-to-end sourcing for production-critical materials, combining spend/demand analytics with hands-on supplier onboarding, negotiation, and production-to-delivery execution. Demonstrates strong trade and landed-cost acumen (HS classification/COO, broker coordination, packaging changes) and a structured approach to supplier performance improvement using scorecards, CAPA, and OTIF/OTD tracking.”

“Sales development professional with strong outbound and enterprise support experience, generating $2.5M pipeline and 15–20 meetings/month with a 45% meeting-to-opportunity conversion rate. Broke into the financial sector using ZoomInfo/LinkedIn Sales Navigator and Outreach sequencing, and helped win a $250K Nevada Department of Corrections deal by nurturing a CISO relationship over 8 months; known for exemplary Salesforce hygiene (Trailblazer certified).”

“Cross-functional product/engineering leader with startup and enterprise experience (Whimstay, Wells Fargo, Leap AI Technologies). Has owned end-to-end delivery including UI and payment architecture—built a multi-customer reservation payment flow using pre-auth plus event/timer-driven reminders and handled tricky edge cases like date changeover. Also introduced lightweight process (Jira, sprints, team/module structuring) to increase delivery speed in an early-stage AI document-matching startup.”

“Cross-functional operator with experience hiring and standing up a product support function, then reducing ambiguity across Sales/CS/Product Support through clear roles and KPI-driven accountability. Reported outcomes include +20% customer satisfaction, +40% employee engagement, and -10% churn, with an emphasis on structured execution (deliverables/deadlines/follow-ups) and proactive risk/disaster recovery planning.”

“Built a production AI-driven contract/document extraction system combining OCR, normalization, and LLM schema-guided extraction, orchestrated with PySpark and Azure Data Factory and loaded into PostgreSQL for analytics. Emphasizes reliability at scale—using strict JSON schemas, confidence scoring, targeted retries, and multi-layer validation to control hallucinations while processing thousands of PDFs per hour—and partners closely with non-technical business teams to refine fields and deliver usable dashboards.”

“Built an end-to-end Alexa smart-home IoT application controlling a Wi-Fi bulb, including ESP32 firmware (MQTT) and an AWS serverless backend (IoT Core/Device Shadow, Lambda, DynamoDB) with a REST API. Demonstrates strong real-time scalability patterns (streaming ingestion, stateless processing, partition-key design) and full-stack delivery with Spring Boot + React (JWT auth, CORS, data-heavy dashboards).”

“Built and deployed a GPT-based RAG enterprise search system for healthcare clinicians, emphasizing low-latency performance and reduced hallucinations while maintaining end-to-end HIPAA compliance. Demonstrates deep applied experience with PHI-safe data governance (detection/redaction/de-identification), secure Azure ML deployment patterns, and orchestration of production LLM workflows using LangChain and Airflow.”

“Machine Learning Engineer currently at Webster Bank building an enterprise-scale LLM agent for Temenos Journey Manager/Maestro, using RAG-style multi-stage retrieval with FAISS/Pinecone, hybrid dense+sparse search, and LoRA fine-tuning optimized via NDCG/MAP and A/B testing. Previously handled messy incident/telemetry data at Deuta Werke GmbH with deterministic + fuzzy entity resolution, and has strong production data engineering experience across Spark/Hadoop and Python ETL systems.”

“Operations leader specializing in building scalable internal systems for startups, from being Spoonflower’s first ops hire (5th employee) to launching its first international Berlin/EMEA office from scratch. At bookingkit, drove measurable operational improvements by implementing a customized OKR framework (+18% goal achievement) and deploying automation/AI tools like Contractbook and kapa.ai to eliminate manual work and save engineering time.”

“Entrepreneurially minded operator with ~20 years in corporate now building a new venture (business plan + MVP in progress) and focused on rapid traction to reach PMF. Previously identified and executed a major student-events opportunity in Milan, scaling from renting a hotel for 800 paying guests to an Olympic village for 5,000, handling logistics, outreach, and team coordination.”

“Healthcare-focused LLM engineer who has built two production clinical applications: an automated structured clinical report generator from physician-patient conversations and a RAG-based chatbot for retrieving patient history (procedures, allergies, etc.). Demonstrates strong applied RAG expertise (overlapping chunking, entity dependency graphs, temporal filtering, graph RAG) to reduce hallucinations/omissions and partners closely with clinicians to automate hospital workflows.”

“Built and productionized a multi-agent, LLM-powered document understanding system to replace manual review of long documents, using LangGraph orchestration plus RAG to reduce hallucinations. Implemented layered reliability controls (structured templates, checker agent, and human-in-the-loop feedback) and reported ~40% speed improvement after orchestration; also has hands-on Airflow experience for scheduled data pipelines.”

“Product-focused full-stack engineer (70/30 app vs infra) with Accenture experience and recent AI workflow work, shipping end-to-end systems from React/TypeScript UIs through FastAPI backends to Postgres. Built an AI-driven data extraction platform with async job APIs, strict schema validation, and strong observability, and has operated AWS ECS-based deployments with real incident mitigation (DB connection exhaustion/latency under traffic spikes).”

“Growth-creative marketer with experience optimizing evergreen campaigns (including Laserfiche document management) by testing landing page/offer strategy—e.g., routing search traffic to a buyer’s guide ebook—and reporting sustained 4:1 ROAS. Emphasizes disciplined A/B testing (isolating single variables like CTAs) across Meta/TikTok/YouTube and applies funnel-stage CTA learnings to improve performance.”

“Built and productionized an LLM-powered clinical documentation and insights pipeline at Cardinal Health using LangChain + GPT-4 with RAG to summarize long clinical notes, extract medication/dosage entities, and generate structured SQL-ready outputs for downstream analytics. Emphasizes clinical reliability via labeled benchmarking (precision/recall/F1), shadow deployments, clinician human-in-the-loop review, and ongoing monitoring/orchestration with Airflow, Lambda, S3, Postgres, and Power BI.”