Vetted Time Management Professionals

“Software engineering candidate who built a compiler-like Python tool to translate between Python code and UML-style diagrams (and back). Also has hands-on AWS experience building a distributed pub/sub system using services like Lambda, API Gateway, ELB, WAF, VPC, and DynamoDB, plus ML projects using Kaggle datasets (e.g., diabetes risk analysis).”

“Long-tenured agency leader (20+ years) who built foundational operational systems for contract and payment tracking—driving an immediate 33% revenue jump and lasting process improvements. Managed high-stakes, compliance-heavy initiatives like the COVID-era Shuttered Venue Operators Grant and led cross-functional alignment across finance/legal/admin during catalogue acquisition integration, with a strong emphasis on executive trust and discretion.”

“Early-stage startup operator who served as Chief of Staff and VP of Partnership Operations at Getlabs, simultaneously driving capital raising, rebuilding the sales org, and optimizing customer success processes for revenue expansion. Strong in executive alignment and operating cadence design (OKR-driven communication, structured exec meetings, evergreen decision docs) while balancing hands-on operations with strategic capital planning.”

“Business Development Officer (Sales Development) with SaaS experience across healthcare and financial industries, combining multi-channel outbound (calls/email/video/LinkedIn) with structured BANTR qualification. Reported strong activity-to-meeting conversion metrics and meeting-to-closed-won outcomes at Coface, and helped advance a complex 7-month deal (Okapi AI) from first touch to signature while maintaining rigorous Salesforce hygiene.”

“Procurement/sourcing professional with hands-on experience selecting and rolling out an analytics dashboard vendor end-to-end—using stakeholder discovery, POCs, and a scoring matrix—then negotiating a ~26% cost reduction and waiving implementation fees. Also demonstrates strong trade compliance instincts by catching and correcting an incorrect tariff code that would have increased duties ~18%, and uses structured milestone/risk tracking (RAG) to keep OTD and approvals on track.”

“Backend engineer with hands-on experience scaling a Python/Flask incident-logging platform processing thousands of daily logs. Strong in performance tuning (PostgreSQL/SQLAlchemy query optimization, partitioning, summary tables) and reliability patterns (Redis caching, Celery background workers, Docker + Jenkins CI/CD), with some multi-tenant data isolation experience via separate DBs/schemas.”

“Software engineer/product-focused builder who has delivered customer-facing dashboards (React/TypeScript + Spring Boot) and microservices using RabbitMQ, emphasizing safe, fast iteration with CI/CD, feature flags, and monitoring. Also built an internal monitoring/reporting tool adopted by ops/support by involving users early and iterating based on feedback.”

“Built and owned major parts of a real-time distributed AI fraud-detection pipeline (ingestion, inference microservice integration, and automated action layer), optimizing latency and observability and reducing false positives by ~35%. Understands ROS/ROS2 concepts (nodes/topics/services) and planned hands-on ramp-up via ROS2 pub/sub exercises and Gazebo simulation, but has not worked on physical robots or ROS in production.”

“Partnerships leader (Director of Partnerships at Frontify; previously supported Founder/CEO/President at Modicum) known for driving cross-functional alignment and executive productivity. Built U.S. market presence and expanded agency partnerships while implementing practical operating rhythms (trackers, leadership syncs, streamlined reporting) to keep senior teams aligned and moving quickly.”

“Backend engineer who built and owned an AI-powered SMS survey platform for a nonprofit serving at-risk communities (internet-limited users), using Cloudflare Workers + Twilio and a state-machine survey engine. Scaled it to ~10k active users with near-zero downtime, added English/Spanish support, and iteratively improved LLM behavior (Claude 3.7 Sonnet) to handle nuanced, real-world SMS responses reliably.”

“Sourcing/procurement professional with end-to-end ownership of vendor selection, negotiation, and delivery for AI-enabled workflow automation products. Uses structured scorecards, SLA/KPI-driven supplier management, and dual-sourcing strategies to reduce risk—delivering measurable outcomes like 18% cost savings, OTD improvement from 82% to 96%, and 25% rework reduction while navigating data quality drift and trade/duty exposure.”

“Senior frontend engineer with experience leading high-impact React/TypeScript products at HelloFresh and CAA, including an A/B-tested onboarding flow shipped across multiple international brands. Modernized a legacy .NET frontend to Next.js using SSR and performance techniques (caching/memoization/lazy loading) and implemented robust testing/monitoring (Cypress, Honeycomb, GA) in fast-paced, production-deploy environments.”

“Consultant focused on senior/C-suite effectiveness and cross-functional execution, including implementing a Team of Teams approach. Has led large-scale planning and alignment efforts (e.g., annual planning across 150 employees at a top quant hedge fund) and supported executive productivity through CEO calendar analytics, SOPs, and operating cadences. Experience spans highly regulated/public-company contexts and enterprise software global sales strategy.”

“Built and operated a production TypeScript backend for a stateful conversational quoting chatbot at Tringapps, orchestrating multi-step workflows and session state while integrating with Salesforce and NetSuite. Implemented validation/retry logic, modular architecture, and strong logging/observability to handle real-world edge cases and external API failures.”

“Game industry QA tester with several years of experience supporting multiple AAA titles, including multiplayer ownership and work spanning pre-alpha through gold master and post-launch updates. Known for proactive edge-case exploration—e.g., finding and documenting a late-stage crash tied to a mission timer interaction—backed by strong evidence capture (video, crash dumps) and thorough verification/regression practices.”