Vetted Cross-Functional Collaboration Professionals

“Sports marketing professional with 4 years of CRM and multi-channel campaign experience, currently owning marketing strategy and execution for 17 collegiate sports at Pepperdine. They’ve grown from student attendance-focused campaigns into broader donor, alumni, and community engagement work, using segmentation, ticketing data, and cross-functional coordination to drive attendance, renewals, and revenue.”

“Built and deployed a compliance-sensitive LLM pipeline that extracts rebate logic from hospital–supplier medical contracts, using multi-layer redaction (regex/NER/dictionary), schema-validated structured outputs, and secure placeholder reinsertion. Hosted models on Amazon Bedrock to avoid retraining on sensitive data and improved both accuracy and cost by splitting the workflow into a lightweight section classifier plus a fine-tuned extraction model, orchestrated with LangChain and evaluated via layered, test-driven agent assessments.”

“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.”

“Growth and brand marketing leader with franchising experience who helped scale Xponential Fitness’ Rumble Boxing from 15 to 90 locations in 4 years, delivering a 30% lift in lead gen/conversions and hitting systemwide revenue targets. Built scalable omnichannel launch playbooks for new openings and created an influencer/creator engine that tripled creative output and cut CPL by 25%. Former CMO for a music-nostalgia-driven brand with strong perspective on creator authenticity and IP/credit in marketing.”

“Growth/creative marketing leader who served as CMO of a leading online travel agency in Brazil, owning Black Friday performance and creative strategy under budget constraints. Drove a Meta-to-WhatsApp segmented community funnel (plus live shopping) that they report produced ~$400K in sales from ~$20K spend, using pixel-based targeting, bots for in-group conversion, and a SOP-driven creative production system.”

“ML/LLM engineer at Charles Schwab who built a production loan-advisor chatbot integrated with internal knowledge and loan-calculator APIs, adding strict numeric validation to prevent rate hallucinations and optimizing context to control costs. Also runs ~40 Airflow DAGs orchestrating retraining/ETL/drift monitoring with an automated Snowflake→SageMaker→auto-deploy pipeline, and uses rigorous testing plus canary rollouts tied to business metrics and compliance constraints.”

“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).”

Danielle Tyler

Screened

Director-level Regulatory Compliance & Legal Affairs leader specializing in enterprise risk governance

Atlanta, GA11y exp

“Operations-focused advisor/consultant with experience helping a fast-growing e-commerce company scale internal operations and customer experience. Implemented a CX playbook, cloud CRM, and real-time risk controls (order tracking + anomaly detection), delivering 30%+ CSAT improvement and up to 25% retention lift in six months while also building a foundational compliance program to support regulatory and investor readiness.”

“Data/ML platform engineer with healthcare (Cigna) experience owning an end-to-end pipeline spanning Airflow + Debezium CDC ingestion, PySpark/SQL transformations, rigorous data quality gates, and feature-store/API serving for ML training and inference. Worked at 10+ TB scale and cites a ~30% latency reduction plus stronger reliability via idempotent design, monitoring, and backfill-safe reprocessing; also built pragmatic early-stage data pipelines at Frankenbuild Ventures.”

Upasana Pandey

Screened

Senior Product Designer specializing in enterprise, AI-driven, data-heavy products

Dallas, TX6y exp

“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.”

Melissa Floyd

Screened

Senior Lifecycle & CRM Marketer specializing in email/SMS automation and retention

Costa Mesa, CA12y exp

“Lifecycle/CRM marketer from 5.11 Tactical who uses CDP-driven segmentation and rigorous testing to unlock incremental revenue and retention. Built post-purchase triggers that generated ~6,000 incremental repeat buyers and ~$1M in incremental revenue in a month, and proved the value of an underserved women’s segment (higher AOV/CTR) to secure increased investment and enable dynamic personalized email content.”

Poorna Vishnu

Screened

Mid-level AI Engineer specializing in LLM workflows and agent-based systems

Texas City, TX4y exp

“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.”

Karan Javali

Screened

Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native web platforms

Salt Lake City, Utah5y exp

“Software engineer with experience at Goldman Sachs and Arizona State University’s Learning Engineering Institute, shipping production backend systems including a vendor equities invoice-generation service designed for extensibility across multiple vendors. Built Django REST + PostgreSQL backends with JWT auth and Pytest coverage, and delivered data-heavy, responsive Angular dashboards; also has exposure to AWS EC2 deployments and GitLab CI/CD automation.”

“Analytics-focused candidate with experience owning end-to-end data projects across AI transcription, retail forecasting, and transportation revenue analytics. They combine strong SQL/Python pipeline skills with dashboarding and stakeholder alignment, citing measurable impact including 60% lower ETL latency, 18% better forecast accuracy, and 25% operational efficiency gains.”

Neda Bokhari

Screened

Entry-level AI product and data professional specializing in workflow automation

San Francisco, CA1y exp

“Early-stage go-to-market candidate at Retroshift who has owned outreach across users, investors, and prospective clients in a zero-to-one environment. They’ve helped onboard 20+ alpha users and pushed the company into 3+ accelerator interview processes, showing strong traction-building ability through scrappy, multi-channel outbound.”

Rami Jaloudi

Screened

Senior Applications Engineer specializing in legal technology and eDiscovery

New York, NY16y exp

“Early-stage founder candidate exploring an AI-enabled legal tech startup focused on document intelligence, secure workflows, and enterprise automation. Brings a rare blend of technical architecture fluency and product/business thinking, with clear firsthand insight into legal and document-heavy operational pain points.”

“CQV/validation professional with hands-on experience at Catalent supporting a biologics manufacturing expansion, including upstream bioreactors, CIP, WFI, and DeltaV-integrated systems. Stands out for combining field execution, troubleshooting, and cross-functional coordination with strong GDP/ALCOA+ documentation and GMP traceability discipline through turnover and OQ readiness.”

“Backend engineer with hands-on ownership of Spring Boot microservice deployments in Freddie Mac's mortgage workflow domain, including measurable gains in reliability and MTTR. Brings strong production debugging skills around distributed transaction pipelines and has also built a full-stack AI chatbot project using React, Express, and Google Gemini API.”

“Software engineer with unusually mature AI-native development practices, using Claude/GPT/Copilot across requirements, implementation, testing, and documentation. At Anzenna, they effectively acted as a tech lead for a multi-agent setup spanning four repos, creating specialized agent workflows and maintaining top-level cross-repo documentation to coordinate complex work.”

“Engineering leader with 8+ years across IoT, emergency messaging, and political campaign data science, including operating a massive IoT microservices platform at several million devices and roughly 200 million requests per minute. Particularly strong in retrofitting legacy systems for modern observability using OpenTelemetry, Honeycomb, and Grafana LGTM, while also managing distributed international teams and developing engineers into senior and tech lead roles.”

“Data science and AI professional with Capital One experience building churn prediction and GenAI-powered document intelligence solutions. Stands out for pairing hands-on technical depth in NLP, LLMs, and analytics with strong business communication, including driving adoption across teams and contributing to a 25% reduction in customer churn.”

“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.”

Brett Futral

Screened

Senior Software Engineer specializing in healthcare enterprise platforms

Portland, OR20y exp

“Engineer with experience building foundational systems in healthcare and other production environments, including an early-stage Electronic Auths initiative inside Cambia where they helped define requirements and delivered the Intake API on time and under budget. Their background spans serverless Python on AWS, full-stack Drupal/PHP work for confidential genetic testing delivery, and Cassandra-backed API design for Choice Hotels.”