Vetted Root Cause Analysis Professionals

“AWS-focused Python backend/data engineer who builds production analytics APIs and ETL pipelines using API Gateway, Lambda, Step Functions, ECS, Glue, S3, and RDS. Strong in operational reliability and performance tuning (including SQL indexing/partitioning) and has modernized legacy SAS statistical processing into validated Python services with phased rollouts and stakeholder sign-off.”

“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.”

“Startup/scale-up operations leader who repeatedly builds lightweight but rigorous operating systems (OKRs/KPIs, agile/Lean cadences, PMO, financial controls, People Ops) from scratch and through change resistance. Cites measurable outcomes including 38% faster execution, 12x user growth, major cost reductions, and valuation increases (e.g., $6M to $56M in <12 months) across companies including DocuGuardian, Washify, NxtWash/NextWash, and Parkidy.”

“Supply chain/materials professional with experience at EOS Energy driving a materials and inventory improvement initiative tied to production readiness for critical components. Focuses on data-driven risk identification (high-risk SKUs, shortages, lead-time delays), dashboard/ERP+Excel tracking, and cross-functional escalation processes to keep production schedules on track and improve supplier execution.”

“Player-coach engineering leader who stayed hands-on (coding/reviews) while leading delivery, including designing an event-driven AI workflow engine with explicit state modeling and robust retries. Built near real-time enterprise analytics for campaign measurement and drove reliability/process improvements (observability, incident runbooks, release management). Introduced lightweight CI/CD and automated testing to cut release time by ~40% while maintaining quality.”