Vetted Workflow Automation Professionals

“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”

“Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.”

“Paid media/demand gen marketer who owned a $50K/month multi-brand budget (five business units) across Google Ads and LinkedIn Ads. Ran structured A/B tests and made fast budget reallocations based on benchmarks (CTR/CPL/lead quality), and diagnoses performance declines via funnel and saturation analysis (frequency/overlap) to stabilize CPAs and restore volume.”

“Growth marketer focused on the creator/UGC ecosystem (TikTok/Instagram), sourcing and scaling performance-based creator partnerships for DTC/e-commerce brands. Uses rigorous attribution and funnel-stage creative testing to optimize paid social, including a GTM initiative that cut CPA by 25% while maintaining contribution margins.”

“Software engineer who built and launched an end-to-end Ad Scheduler that automated campaign creation across Google Ads and Meta using Azure Functions/Service Bus, PostgreSQL, and a React frontend—reducing manual marketing ops work. Also shipped a production internal RAG chatbot leveraging a data warehouse + Cube semantic layer, Gemini embeddings, vector search, and Claude, with Langfuse tracing and brand-based access controls; work was cut short due to layoffs.”

“Robotics software/ML engineer who built perception and navigation-related ML systems for autonomous supermarket carts, including object detection, shelf recognition, and obstacle avoidance. Strong ROS/ROS2 practitioner who optimized real-time performance (reported 50% latency reduction) and deployed containerized ROS/ML pipelines at scale using Docker, Kubernetes, and CI/CD.”

“Cross-functional operator who regularly leads globally distributed work and acts as a bridge between product, UX, and analytics. Has driven reporting/dashboard and workflow automation initiatives with senior leadership, using data-backed communication and quick wins to improve adoption and efficiency.”

“Backend/web API engineer with hands-on experience deploying .NET Core APIs to Azure App Service and stabilizing production systems through disciplined log-driven troubleshooting, environment configuration management, and SQL performance tuning (execution plans, query rewrites, indexing). Has also debugged cross-layer incidents involving DB locks and network latency, and modifies Python/XML automation scripts to meet customer-specific requirements while improving logging and performance.”

“Software engineer/product owner who has led end-to-end delivery of AI and content-management platforms, including building RAG-based reliability improvements and migrating fragile systems to containerized AWS ECS/Kubernetes with Terraform-managed CI/CD. Experienced designing event-driven microservices (SQS/SNS/RabbitMQ), scaling queue consumers with autoscaling, and creating internal Python tooling to standardize data connectors (e.g., BigQuery/Airtable/internal APIs) to speed iteration.”

“Cloud-focused engineer with hands-on experience deploying production cloud-native REST APIs on AWS using Pulumi IaC, containerization, and CI/CD, with strong emphasis on secure credential management and operational monitoring via CloudWatch. Also has IoT troubleshooting experience across edge hardware constraints and networking (TLS handshake failures), plus Python-based configurable data-processing tools and customer-facing requirements translation.”

“Backend engineer currently building an AWS Lambda/FastAPI inventory recommendation system using a LangChain + GPT-4 RAG pipeline and MongoDB vector search; drove major cost optimization via Redis caching (60% reduction) while sustaining 10k+ daily requests under 2s latency. Previously deployed Node.js microservices on AWS OpenShift with Jenkins/Helm at UnitedHealth Group and led a zero-downtime monolith-to-microservices migration at Verizon, including RabbitMQ-based real-time messaging with DLQs and idempotency.”

“Operations leader/advisor with repeated experience bringing structure to fast-moving, early-stage environments. At AeroPost, built a cross-functional operating cadence plus RACI, dashboards, and a scalable seller onboarding + CRM automation workflow to reduce chaos and accelerate onboarding at marketplace scale (over 1,000 sellers mentioned). Strong in founder/executive coaching—turns ambiguity into clear priorities, owners, and repeatable operating rhythms.”

“Salesforce-focused implementation/solutions engineer from Full Circle Insights who owned end-to-end campaign attribution and reporting deployments for multiple customers at once (3–5 concurrently), including sandbox testing, KPI monitoring, and rollback-safe migrations from legacy reporting. Also builds personal multi-agent workflows and uses Claude Code to rapidly scaffold data/analytics scripts like an advertising optimization parser over CSV/XLSX inputs.”

“Design engineer/product designer who built an end-to-end creator + review/moderation system for a UGC platform, spanning automated checks, human QA, final review, and creator feedback. Comfortable working directly with HTML/CSS/TypeScript and component systems, using prototyping and field observation to reduce reviewer hesitation, improve consistency, and prevent creator errors upstream.”

“Global Talent Acquisition/Recruiting Operations leader who has scaled and standardized end-to-end recruiting across regions and large teams (5–95), including major ATS/HCM implementations (Workday, Lever, Greenhouse, BambooHR). Known for rebuilding “Frankenstein” recruiting orgs into measurable operating models—cutting time-to-fill 28%, improving forecast accuracy to 5–10% variance, and boosting hiring manager satisfaction by 30+ points—while building offshore sourcing capability (South Africa delivering 55–60% of early funnel).”

“Talent/Recruiting Operations leader who has managed 6–20 person TA Ops teams and led a global "Recruiting 2.0" transformation standardizing intake and structured interviews, automating screening/scheduling, and building Power BI funnel dashboards. Delivered measurable impact including ~30% time-to-fill reduction and improved candidate/hiring manager experience, and has hands-on systems implementation experience across Workday Recruiting, SuccessFactors, Eightfold, DocuSign, and background check integrations.”

“Built and deployed an LLM-powered financial/regulatory document analysis platform at State Street, combining fine-tuned transformer models with a RAG pipeline over internal knowledge bases. Owned the productionization stack (FastAPI, Docker, SageMaker, Terraform, CI/CD) plus monitoring for drift/latency/hallucinations, delivering ~40% faster analyst review and improved reliability through chunking/embeddings and grounding.”

“Recruiting Operations leader with 10 years across transportation, staffing, and tech, managing teams up to 40 in both remote-first and onsite settings. Known for rebuilding end-to-end recruiting workflows (interviewing, pay equity/salary transparency, onboarding automation) and delivering measurable outcomes including 140% revenue growth, plus strong ATS analytics and HRIS/LMS implementation experience (Workable, SmartRecruiters, Paycom, Litmos).”