Vetted Stakeholder Communication Professionals

“Cross-border (US/Canada) hockey advisor with extensive experience on both the business and operations sides across pro, minor, and junior organizations. Leverages deep relationships with coaches/scouts/GMs and a structured evaluation + development planning process to guide families through Prep/Academy, Junior, NCAA, and U Sports pathways; has helped an athlete jump two levels to Junior A via a targeted 6-month training and mental development plan.”

“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”

“AAA game QA professional from Ubisoft (For Honor) with deep live-service multiplayer experience. Known for owning network/competitive integrity risks and building a custom network simulation tool to reliably reproduce desync issues, accelerating debugging and saving 100+ hours. Strong end-to-end QA process skills spanning test planning, triage, regression, and release verification using JIRA/TestRail.”

“JavaScript engineer who built a Michelin-specific headless CMS forms platform based on apostrophe-forms, powering forms across 400+ Michelin websites. Designed an extensible, SOLID-aligned modular field architecture with a shared design system, cutting hundreds of lines of per-project code across 10+ implementations while driving cross-device compatibility and performance (BrowserStack, Lighthouse, SSR).”

“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”

“Data engineer/software engineer who led an end-to-end ETL/ELT pipeline at Pearson processing millions of rows of student data nightly, including client-side data prep/validation, SFTP/API ingestion, staging-based SQL validation/transforms, and production loading. Built reliability features like configurable per-client validation thresholds, detailed reporting, concurrency throttling via a custom queue, and multi-source merge/backfill logic to keep nightly loads running even when sources fail.”

“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”

“Built and productionized an LLM-powered internal knowledge search system in a regulated environment, using embeddings/vector DB retrieval with strict grounding and confidence gating to reduce hallucinations. Reported ~45% accuracy improvement over keyword search and implemented end-to-end orchestration, monitoring, CI/CD, and incremental re-indexing to manage latency and data freshness while driving adoption with business stakeholders.”

“HR/People leader with experience managing global teams and delivering complex HR/payroll system integrations (including an India-based support team) on schedule. Has built HR/onboarding teams and HRIS workflows from the ground up and partnered with senior leadership on high-impact change initiatives like a full return-to-office transition, including employee communications and backfill recruiting.”

“Marketing designer/art director with hands-on motion design (After Effects) who built high-polish social and podcast creative, including defining a podcast brand end-to-end. Experienced creating scalable, high-volume report and event branding systems, evolving agency templates into in-house frameworks while serving as the quality gatekeeper across stakeholders from SMEs to C-suite.”

“Marketing creative/motion designer focused on mobile game UA ads, producing high-polish short-form video creatives end-to-end (animation + sound) in After Effects/Cinema 4D. Experienced building Figma-based scalable systems and After Effects templates to generate high-volume variations, and iterating based on performance metrics (CPI/CTR/retention) with an 80/20 experimentation framework in a fully remote workflow.”

“Bootstrapped founder/fractional-CTO type building a community-first tooling platform and niche product lab, emphasizing trust and "family" culture. Operates extremely lean by self-hosting open-source LLM tooling locally and leverages a network of senior generalists willing to trade short-term compensation for learning and equity. Has worked across real estate tech, logistics, and hospitality POS and is applying a multi-modal "brain trails" concept to product opportunities.”

“QA professional with 15+ years testing a variety of applications (not games), experienced partnering with developers/designers/product owners across the feature lifecycle. Brings a disciplined, methodology-driven approach to test design, regression coverage, and high-quality defect reporting using tools like Jira, TestRail, qTest, and HPQC; targeting ~100K base (flexible based on total package).”

“Backend/data engineer who reports building production Python services (FastAPI + JWT) backed by Postgres and Redis, and modernizing data workflows using AWS Glue + PySpark with S3/RDS. States experience delivering AWS solutions (S3, SES, Cognito) and using golden datasets/snapshot testing for migration parity, with many details withheld due to NDAs. Seeking fully remote work with a $300k base salary expectation.”

“Built and deployed an LLM-powered mental health therapy assistant at AppHealth that segments users by stress level and delivers personalized, non-medical guidance. Implemented healthcare-focused safety guardrails (secondary LLM output filtering) and a multi-agent router workflow validated via statistical tests and therapist review, then scaled training/inference on AWS (EC2/Lambda/DynamoDB) with Kubernetes.”

“Growth/partnerships operator in the creator ecosystem who runs creator-led GTM launches and brand collaborations (not yet a traditional gaming studio partnership). Has executed a baby wellness program launch using Facebook/TikTok/Instagram plus live Zoom Q&As and co-branded partnerships, and designed outcome-based email re-engagement loops to improve repeat engagement; helped drive a campaign that led to a SEA creator award.”

“ML engineer/data scientist who deployed a production credit risk + insurance claims triage platform at Hartford Financial, combining XGBoost default prediction with BERT-based document classification. Demonstrated strong MLOps by cutting inference latency to sub-500ms and building drift monitoring plus automated retraining/deployment pipelines (MLflow, CloudWatch, GitHub Actions, SageMaker) with human-in-the-loop review and SHAP-based explainability for underwriting adoption.”

“Chief of Staff at Molecular Affinities and former Investor Relations & Operations manager at JCAM Investments, with hands-on experience supporting capital raising while simultaneously tightening operations (website, investor onboarding, back office). Strong operator who implements and drives adoption of systems like HubSpot, Asana, and Slack to improve executive productivity and team accountability.”

“AI startup co-founder and CTO who helped raise $2.6M in seed funding at RedRex and drove product strategy from ideation through execution. Experienced with rapid experimentation and AI-driven prototyping to validate ideas quickly, and has direct exposure to the VC/accelerator ecosystem (Gener8tor) with a market-first approach to building and pitching startups.”

“Robotics/embodied-AI practitioner who built a TurtleBot3 LiDAR-fingerprint localization pipeline end-to-end (autonomous data collection + multi-head NN) achieving ~30 cm error in a 10x10 m space. Also has industry experience at Infineon building large-scale production data/AI pipelines and rapidly fixing a deployed recommendation system by correcting upstream data normalization, improving accuracy by 20%+.”