Vetted Workflow Automation Professionals

“Founder building SmartTreeQuote, an AI-powered quoting and lead qualification platform for tree service companies, created from direct operator pain points and validated via an image-based remote quoting workflow. Has already built a targeted customer acquisition motion resulting in 5 active paying subscribers, and brings experience proposing AI-driven workflow automation to remove operational bottlenecks in a high-volume install environment.”

“Marketing creative designer/editor with hands-on growth execution: led a Gen Z-focused social recruiting video campaign end-to-end (editing, posting strategy, custom landing page, spend + pixel tracking) that drove 7 interviews and 4 offers. Builds scalable Figma and Adobe Express template systems for high-volume, multi-platform creative while maintaining brand consistency in a fully remote, async workflow.”

“Performance marketer managing a housing fintech’s $1M/month spend across Google, Microsoft, Meta, and TikTok, with deep emphasis on attribution and rigorous A/B testing. Drove a major efficiency gain by cutting MQL cost from ~$700 to ~$489 via event optimization, demographic/income targeting, ad copy overhaul, and landing page tests, and has hands-on experience recovering accounts after tracking breaks during site migrations.”

“LLM engineer with production experience building end-to-end document processing workflows that unify layout analysis, OCR, and downstream LLM reasoning. Has implemented reliability features (retries, robust error handling, OpenTelemetry logging) and built agentic systems using LangChain/CrewAI, including a student research-paper assistant, while collaborating closely with PMs and non-technical end users to reduce technical debt and simplify architectures.”

“Backend Python engineer who owned the full backend build of an AI-driven platform for UK golf clubs, including FastAPI microservices, vector search, and a tuned LangChain+Pinecone RAG pipeline focused on cost and hallucination reduction. Experienced deploying Django/FastAPI/Flask stacks on AWS-backed Kubernetes with GitOps/ArgoCD-style delivery, plus executing legacy-to-AWS migrations and building Kafka-based real-time analytics pipelines.”

“Sales/business development professional with experience in high-value client account expansion and partner acquisition (including real estate sales/property management) who also self-taught Python and built a Selenium-based automation system to eliminate manual booking work. Demonstrated measurable impact across both revenue/relationship outcomes (profit margin lift, high CSAT) and operations (70% faster bookings, 95% fewer errors, 25%+ efficiency gains).”

“Built production LLM/agent systems for procurement and contract spend controls, including a proactive contract value leakage detection platform that moved an organization from reactive audits to pre-payment rejection. Combines multi-agent orchestration (Semantic Kernel/LangChain/AutoGen), document AI benchmarking (Textract vs Azure DI), and MLOps/testing (MLflow, QTest/Pytest) with strong security practices (RAG-grounded responses to prevent prompt injection). Integrated anomaly alerts directly into SAP SES workflows and Power BI dashboards, citing ~$38M leakage addressed across large spend environments.”

“Frontend engineer who led an internal React + TypeScript admin dashboard end-to-end, including a collaboratively owned component system and complex RBAC/permissions workflows. Emphasizes scalable architecture and correctness using React Query (mutations + query invalidation), centralized permission logic, and TypeScript for safe evolution, plus performance tuning for data-heavy tables and pragmatic MVP-driven delivery with gradual rollouts.”

“Frontend engineer/team lead currently overseeing a 5-person team building an AI trading mobile application, using modular architecture and Jest-based testing to maintain quality as features scale. Also develops a trading/research platform in Next.js/React/TypeScript with Tailwind and Redux, including complex broker registration workflows and experience separating on-device AI components from core business logic.”

“F2P mobile LiveOps/product specialist (iOS) who acted as a bridge between product, design, and data during the live phase—analyzing player behavior, identifying loop friction, and iterating on progression, rewards, and live events. Emphasizes trust-preserving monetization through incremental cohort rollouts and tight monitoring of retention, funnel, revenue, and player feedback signals.”

“Enterprise Customer Success professional with end-to-end ownership from onboarding through renewal, delivering strong measurable outcomes (35% adoption lift, 45% key feature usage lift, 95% CSAT, and 100% renewal). Experienced partnering cross-functionally with Product/Engineering/Sales to resolve integration issues and shaping roadmap via PRDs/user stories, with martech analytics/workflow expertise including Slack automation that improved lead engagement by 30%.”

“Built and productionized an AI-assisted merchant onboarding automation workflow for Kort Payments, replacing slow manual underwriting document review with structured extraction, cross-document validation, and human-in-the-loop guardrails. Emphasizes reliability via scenario-based testing, repeatability checks, and deep observability (timestamped logs), plus incremental rollout with legacy fallback to prevent regressions.”

“Backend/data engineer with hands-on production experience building partner-facing Python APIs (FastAPI, Celery, Postgres/Redis) and AWS serverless data platforms (Lambda, SQS, Step Functions, Glue). Emphasizes reliability and governance—JWT tenant-scoped auth, secrets/config hygiene, data-quality quarantine, and incident ownership—plus measurable SQL tuning that eliminated timeouts and stabilized reporting workloads.”