Vetted Looker Professionals

Samuel Lee

Screened

Executive Sales Leader specializing in Enterprise SaaS GTM and global revenue growth

Hoboken, NJ14y exp

“Revenue/sales operations and GTM builder for early-stage startups who designs repeatable sales processes (CRM pipeline stages, MEDDPICC, Challenger Sales) and operating cadences (OKRs) to improve conversion and forecasting. Also mentors product/technical founders—e.g., through the Canadian Technology Accelerator—helping a fintech founder establish segmentation, metrics, and an outbound motion that produced early recurring revenue and investor readiness.”

“ML/NLP engineer focused on large-scale data linking for e-commerce-style catalogs and customer records, combining transformer embeddings (BERT/Sentence-BERT), NER, and FAISS-based vector search. Has delivered measurable lifts (e.g., +30% matching accuracy, Precision@10 62%→84%) and built production-grade, scalable pipelines in Airflow/PySpark with strong data quality and schema-drift handling.”

“Built and deployed a production LLM-powered demand and churn forecasting system for an e-commerce client, combining open-source LLMs (LLaMA/Mistral) and Sentence-BERT embeddings to generate business-friendly explanations of forecast drivers. Strong focus on data quality and model trust (validation, baselines, segmented monitoring) and production reliability via Airflow-orchestrated pipelines with readiness checks, retries, and ongoing drift/A-B testing.”

“B2B lifecycle/CRM marketer running highly technical scientific service-line campaigns (multi-omics, translational sciences, ddPCR) using HubSpot segmentation, lead scoring, and multi-channel execution (paid social, ABM, and content syndication). Delivered measurable pipeline impact (200+ leads, 120 MQLs) and improved conversions 5–6% through cross-functional ICP refinement and multivariate testing.”

Meng Yang

Screened ReferencesStrong rec.

Staff Software Engineer specializing in distributed systems, cloud platforms, and IoT

Columbus, OH21y exp

“CTO/Chief Architect who rebuilt an IoT platform from a fragile legacy stack into an AWS-based, multi-tenant cloud-native system supporting 50k+ connected devices and 10M+ monthly events, then layered in real-time data pipelines and ML anomaly detection. Known for tightly aligning roadmaps and OKRs to business KPIs (onboarding speed, uptime, velocity) and for scaling teams into domain-focused pods; previously led a shift from LAMP to event-driven Node.js microservices using MQTT and message queues.”

“Healthcare analytics professional with hands-on experience turning messy claims, eligibility, and utilization data into validated BI-ready models using SQL and Python. They combine strong data engineering and KPI design skills with stakeholder-facing delivery, including Power BI prototyping, retention metric operationalization, and analyses that supported care management interventions and cost-control decisions.”

“ML/AI engineer with strong healthcare insurance domain depth who has owned fraud detection and LLM claims products end-to-end in production. Stands out for combining modern MLOps and RAG architecture with measurable business impact, including millions in fraud savings, 40% faster analysis, and reusable platform tooling that accelerated multiple teams.”

“Mobile F2P product leader (11+ years) who has built and published multiple games—most notably Hexa Sort—into multi-million-dollar IPs with publishers like Lion Studios (AppLovin), Voodoo, and Tango. Known for rigorous, data-driven monetization and engagement optimization (months-long multi-variant testing, activation milestone discovery, ROAS-focused launch tuning) and for leading cross-functional teams across product, growth, and data.”

“Performance-focused paid social creative lead with deep Meta experience in DTC/eCommerce for a bridal brand, owning strategy, briefs, testing, and QA while delegating production. Known for rapid iteration (8–12 variants/week) and measurable lifts (2.8 ROAS; CPA down 25%+), plus strong UGC direction and landing-page alignment that materially improves conversion.”

“Paid media/SEM owner at Pulseway managing $180K–$230K monthly spend across Google Ads, Microsoft Ads, and Capterra, with a strong emphasis on MQL quality and MQL-to-opportunity conversion rather than lead volume. Runs disciplined, controlled testing across creative, keywords, audiences, and bidding (including Performance Max), and partners closely with sales feedback to reduce junk leads and improve pipeline contribution.”

“MarTech-focused enterprise CSM/strategic account leader with 7 years advising enterprise retailers, specializing in discovery-to-conversion workflows and API-driven integrations. Demonstrated ability to turn transactional vendor relationships into strategic partnerships using Tableau/Looker insights, cross-functional execution with Product/Engineering, and measurable outcomes (25% revenue lift, 15% YoY growth, 35% faster deployments) that support renewals and expansion.”

Dawood Shaik

Screened

Senior Product Marketing Manager specializing in GTM, channel enablement, and pricing analytics

Minneapolis, MN9y exp

“Growth-creative/performance creative specialist focused on UGC-led paid social across Meta, TikTok, and YouTube. Uses structured creative testing (e.g., hook/angle matrices) and modular asset systems to iterate quickly; cited a campaign that lifted efficiency (25% CPA improvement, ROAS 1.8x→2.4x) and then scaled spend ~60% while maintaining performance.”

“Performance marketer with experience owning a high-spend B2B SaaS account (>$100K/month) primarily on Google Ads, generating ~80 quality leads/month. Uses A/B testing across landing pages, ad copy, and keywords and reports results via Looker/Power BI with a KPI-driven approach to scaling and troubleshooting.”