Vetted Stakeholder Management Professionals

“Healthcare-focused data engineer/ML practitioner with experience at Lightbeam Health Solutions and Humana building production entity-resolution and semantic similarity pipelines across EMR, lab, and claims data. Uses NLP/ML (spaCy, scikit-learn, BioBERT/LightGBM) plus Snowflake/Airflow and vector search (Pinecone) to improve linkage accuracy (reported 90%) and semantic match quality (reported +12–15%), while reducing manual cleanup by 40%+.”

“Sri Lanka–based DevOps/Platform engineer focused on Kubernetes and AWS who has led real production incidents and recoveries (network-policy-induced asymmetric routing; node pool failure due to CNI upgrade). Built production CI/CD with GitHub Actions (ephemeral self-hosted runners on EKS), ArgoCD, Vault, and Terraform, and led a phased ECS-to-EKS migration including Kafka consumers and MongoDB Atlas private endpoints.”

“Product/UX designer who has led end-to-end design systems for high-impact, multinational products—most notably a live African Union policy tracking platform used by 11 countries. Experienced translating complex, regulated workflows into intuitive experiences (including a gamified pediatric vaccination journey) and collaborating closely with engineers using component-based design systems and Agile delivery.”

“Montreal-based MBA (Queen’s University) with experience in sports/creator talent representation and growth marketing. Sourced athlete creators through research and LinkedIn outreach, helping facilitate signings and tracking success via social analytics and campaign performance. Also worked as a pricing analyst in the secondary sports ticket market, using historical data to optimize purchasing toward high-return games.”

“Built and deployed a production-style vision-language pipeline that generates structured medical reports from chest X-rays using BioViLT embeddings, an image-text alignment module, and BiGPT fine-tuned with LoRA, delivered via Streamlit and hosted on AWS EC2. Also collaborating experience presenting EDA findings, feature importance, and model performance to Ford managers while working with vehicle parts data at Bimcon.”

“Built a web-based online Sudoku game in JavaScript (multiplayer format supporting up to 6 teams with up to 5 players each) and demonstrates strong product/analytics orientation. Uses a KPI-driven approach (DAU/WAU, ARPU, session duration, LTV) and structured prioritization methods (MoSCoW, story mapping, cost of delay, DFV) to iterate toward targets; seeking a remote role around $70k/year.”

“React performance-focused engineer who contributed performance patches back to an open-source context+reducer state helper after profiling and fixing excessive re-renders in an enterprise project management platform at Easley Dunn Productions. Also built an end-to-end LLM-driven pipeline at Prime Healthcare to normalize millions of supply-chain records, reducing defects by 80% and saving 160+ hours/month.”

“Enterprise implementation/deployment specialist focused on HRMS and payroll systems across APAC customers, combining cloud/hybrid (AWS/Azure/GCP) integration work with strong client-facing delivery. Demonstrated ability to debug complex production issues across application, database, and network layers (e.g., isolating VPN/router congestion) and to tailor Python-based data cleaning/scoring/utilities to customer-specific workflows.”

“Space/heliophysics ML engineer who built a PyTorch GRU model to propagate solar wind from L1 to the magnetopause with probabilistic outputs for uncertainty quantification, achieving ~25% better CRPS than standard approaches. Also developed production-grade Python ETL and an open-source telemetry processing package for a mission (LEXI), using Docker and GitHub Actions CI/CD and iterating with scientist/engineer stakeholders.”

“AI/LLM engineer with recent production experience at UnitedHealth Group building an end-to-end RAG system over structured EMR data and unstructured clinical notes, including evidence retrieval, GPT/LLaMA-based reasoning, and a validation layer for reliability. Strong in orchestration (Kubeflow/Airflow/MLflow), prompt engineering for noisy healthcare text, and rigorous evaluation/monitoring with gold-standard benchmarking, plus close collaboration with clinical operations stakeholders.”

“Controls and automated-vehicle engineer from the EcoCar EV Challenge who led an 8-person team implementing ACC and lane-centering directly on a vehicle (1st place result). Strong in CAN-based debugging, simulation-to-real deployment (Simulink to C++/dSPACE), and distributed robotics communication using DDS, with additional exposure to multi-agent RL and control barrier functions for coordinated driving.”

“B2B SaaS growth marketer who was the first marketing hire and built the foundational brand and acquisition engine from 0-to-1, using customer-journey mapping, rigorous channel testing, and strong cross-functional alignment. Has launched an existing product into a new adjacent market via a multi-channel campaign and optimized spend by prioritizing CAC, conversion, and lead quality. Also has experience marketing monetization/distribution platforms to creators and developers, emphasizing values-aligned messaging for the creator ecosystem.”

“Sales/business development operator who has repeatedly built outbound motions from scratch—most recently launching a B2B recruiting GTM at Pinnacle Private Credit, generating 50+ relationships, a $50K+ pipeline in 5 weeks, and closing 7 enterprise agreements with C-suite financial services stakeholders. Also co-founded a defense tech startup (multi-sensor aerial threat detection), led investor outreach to 100+ investors, and applies AI/ML both for outreach personalization (ChatGPT/Claude) and product work (sensor fusion/threat detection).”

“Talent Acquisition/Recruiting Operations leader with 10+ years in TA and 6–7 years leading ops teams (up to 5 direct reports). Drove an enterprise-wide, global redesign of EchoStar’s recruiting and selection process, focusing on automation and process streamlining, and has led major HR/TA system implementations (Workday, Dayforce, iCIMS) across ATS/HRIS, onboarding, and payroll.”

“ML practitioner with hands-on experience in healthcare time-series modeling (CGM-based blood glucose prediction) including a novel ICA-based blind source separation approach and robust data-cleaning for noisy, missing sensor data. Also built an embeddings + LLM-powered podcast recommendation workflow using YouTube transcript scraping and Vellum AI document indexing, with a strong emphasis on production-grade engineering practices (TDD, monitoring) and realistic rolling validation for forecasting.”

“Operations/product-and-engineering leader who has repeatedly retooled early-stage/growing orgs (Open English, Metrc) to scale by implementing Scrum/Kanban, building metrics-driven decision systems, and upgrading teams with experienced product/engineering leadership. At Metrc, used data to drive executive alignment, established scrum teams and a 2-week cadence within 30 days, and helped burn down years of backlog/bugs while improving customer survey feedback within 3 months.”

“Higher-education operations leader (Assistant Dean at Howard University School of Business; inaugural Associate VP of Student Affairs/Enrollment Management at University of the District of Columbia) known for rebuilding and modernizing internal operations under constraint. Delivered measurable results including sustaining fiscal integrity across three budget cycles post-staff reduction and improving admissions throughput (+25% applications, 50% faster decisions) through process re-engineering, automation, and cross-functional governance.”

“Senior enterprise architecture and engineering leader (Sr. Director / Principal Architect) who has owned enterprise IT strategy and governance for a $100M budget and partnered directly with C-suite stakeholders. Led a cruise-industry employee/crew digital transformation, scaling to 10 agile teams (~70 people) using SAFe/TOGAF and making architecture decisions optimized for low-connectivity environments (local database to avoid internet authentication).”

“HR/People leader with hands-on experience building HR infrastructure from scratch and driving adoption through collaborative change management. Strong labor relations background, including serving as a union-management liaison and supporting high-stakes contract negotiations with transparent, multi-scenario financial proposals to prevent strike action. Also applies people analytics to succession planning and coaches leaders to improve effectiveness.”

“LLM/agent workflow engineer with production experience at T-Mobile, focused on scalable agent architecture and robust real-time evaluation/monitoring pipelines. Partnered closely with marketing and product to automate customer engagement and other business workflows, translating AI capabilities into measurable KPI impact via dashboards and continuous performance tracking.”

“Worked on CI/CD for a project called NXTFolio, including writing acceptance tests in Cucumber. Also collaborated with customers/operators via weekly check-ins to understand needs and align technical work to requirements.”

“Audio/music editor and producer with recent long-form brand work for Novartis, crafting a playful modern Motown-inspired track tailored to a two-act narrative. Works in Logic Pro and Final Cut with a plugin-heavy mix/master workflow (Soundtoys, Native Instruments, Spectrasonics, Output) and emphasizes automation for dialogue-safe mixes and rapid same-day iteration on notes.”

“Computer science capstone project: built a UE5 VR campus virtual-tour simulator using Blueprint scripting, including trigger-box interactions that display building/department info. Spent significant time in QA/playtesting to reduce motion sickness and improve UX, and handled a challenging asset pipeline by converting/optimizing high-detail AutoCAD/scan-derived building models via Blender—ultimately creating a custom plugin to help with conversion.”

“Unity lead game developer who shipped two games to Steam for Windows and ported them to Android. Hands-on with gameplay mechanics plus coordinating freelance model/animation work and integrating assets into the game, and uses AI tools to speed up debugging and navigating large codebases.”