Pre-screened and vetted.
Healthcare technology executive and architect with 20+ years leading enterprise platforms and digital transformation.
“Healthcare-focused founder in the R&D stage building an EHR and clinical staffing startup centered on value-based care. They have already tested the concept with the market, are engaging Medicaid/Medicare leaders and industry conferences like ViVE and HIMSS, and are focused on early-signal detection to improve patient outcomes while lowering utilization costs.”
Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise AI
“Built an enterprise RAG-based document intelligence system at Freddie Mac for regulatory and financial documents, helping analysts cut search time from hours to minutes while improving retrieval accuracy by ~30%. Stands out for combining LLM product delivery with compliance-grade auditability, production monitoring, and scalable Python/FastAPI service design.”
Executive engineering leader specializing in AI, cloud, and SaaS platforms
“Senior engineering executive with 8+ years leading large-scale SaaS modernization across AI, compliance, ecommerce, streaming, IoT, and travel. Has led a 150+ global engineering org, modernized seven cloud-native platforms for a $400M business, and consolidated travel systems processing $1B+ annually while staying hands-on in architecture, incident response, and AI integration.”
Director-level automotive strategy leader specializing in GTM, data, AI, and value creation
“Automotive-focused GTM and strategy leader who built Kaizen Analytix's Automotive and Mobility practice from roughly $250K to $5M in recurring revenue by turning complex enterprise problems into repeatable offerings. Brings a rare mix of consulting, sales, operations, and delivery execution, with deep expertise in trade/tariff workflows and emerging AI use cases for automotive and mobility.”
Mid-level Generative AI Engineer specializing in LLMs, RAG, and multimodal generation
“Open-source JavaScript contributor focused on performance and maintainability in data visualization libraries—refactored legacy ES5 into modular ES6, added tests/docs, and delivered ~30% faster load times with positive community adoption. Also optimized a React dashboard (~40% load-time reduction) and took ownership in an ambiguous AI product initiative by setting milestones, standing up an initial ML pipeline, and shipping a prototype in ~6 weeks that became the basis for production.”
Senior Supply Chain & Sourcing Specialist in Medical Devices
“Sourcing/procurement professional who owned end-to-end supplier management across concept through launch while running 20 projects concurrently. Known for hands-on supplier recovery (including onsite interventions) and process improvements that delivered measurable results (30% cycle-time reduction) plus strong cost focus via total landed cost analysis and international logistics optimization.”
Mid-level Data Engineer specializing in cloud ETL/ELT and healthcare analytics
“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%+.”
Director of Product Management specializing in Salesforce CRM and digital platforms
“Customer success/account and product leader who rebuilt from a failed startup into a consulting + SaaS business (~$300K) and later oversaw account management/renewals across a manufacturing software portfolio that scaled to $22M (mentions clients like Segway and Invisalign). Brings scaled-agile cross-functional leadership, strong change-management/training focus, and Salesforce analytics/reporting to drive adoption, retention, and roadmap improvements.”
Engineering leader specializing in FinTech ML/AI platforms
“Engineering Manager/player-coach leading Data Infrastructure, ML/DS, and AI Engineering pods who recently shipped multiple production agentic GenAI features. Built privacy-preserving LLM workflows (PII redaction via Microsoft Presidio) and drove an AI expense-approval agent from ambiguous ask to GA, cutting approval time from ~2.5 days to <4 hours with >85% accuracy. Also owned a major LLM cost overrun incident and implemented cost observability plus circuit breakers to prevent runaway agent loops.”
Mid-level Data Scientist / ML Engineer specializing in secure GenAI and financial compliance
“Built a production "sentinel insight engine" to tame information overload from millions of product reviews and support transcripts, combining Azure OpenAI (GPT-3.5) zero-shot classification with a fine-tuned T5 summarizer to generate weekly actionable product insights. Demonstrated strong MLOps/production engineering by adding drift monitoring with embedding-based detection, integrating REST with legacy SOAP/queue-based CRM via FastAPI middleware, and scaling reliably on Kubernetes with HPA.”
Mid-level Full-Stack Java Developer specializing in cloud-native enterprise systems
“Backend/full-stack engineer with Blue Cross Blue Shield experience building a reactive, event-driven claims processing microservice platform on AWS (ECS, SNS/SQS) with Terraform-based IaC and strong observability (Dynatrace/CloudWatch). Demonstrated measurable production impact (32% less downtime, 24% higher processing efficiency) and deep database performance/migration expertise across MongoDB and Postgres.”
Executive sales leader specializing in global retail, distribution, and e-commerce growth
“Sales executive with a consumer products and national retail background who successfully built a government/public sector channel from scratch while leading six sales divisions across retail, ecommerce, international, and institutional markets. Particularly compelling is his blend of eight-figure commercial leadership and firsthand law enforcement/SWAT experience, which helped him win business with agencies like the FBI Academy at Quantico, the U.S. Military Academy, and Homeland Security.”
Executive Atlassian and Agile transformation leader specializing in AI-enabled enterprise collaboration
“Product leader with hands-on experience modernizing enterprise internal tooling and shipping AI-enabled support workflows. At Peloton, they led the end-to-end migration of Jira, Confluence, and JSM from on-prem Data Center to cloud; at Atlas Vega, they implemented a RAG-based Slack/JSM support assistant with strong governance, data hygiene, and measurable support outcomes.”
Senior Full-Stack Engineer specializing in SaaS workflow platforms
“Full-stack engineer with deep experience building enterprise compliance and certification systems at Paycom, including complex approval workflows, live migrations, and large-scale assignment processing. Particularly strong at turning ambiguous business rules into reliable backend workflow logic and at designing trustworthy GraphQL/AI-assisted user experiences backed by real-time system data.”
Senior Product Leader specializing in fraud platforms and enterprise SaaS
“Principal-level product leader with deep experience rebuilding complex enterprise platforms in fraud prevention and HR tech. Stands out for unifying siloed acquired products into a single API-driven platform at TransUnion, pairing strong commercial outcomes ($400K early revenue, $2M projected cost savings) with thoughtful human-centered AI work including chatbots, RAG, and an AI copilot for fraud investigators.”
Junior Data Engineer / Analyst specializing in AI/ML data infrastructure
“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.”
Senior Talent Acquisition & HR Change/Program Leader specializing in TA operations and process optimization
“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.”
Executive Franchise Operator specializing in multi-unit growth and brand expansion
“Early-stage operator brought in as hire #1 in a VP/president capacity to build a franchised business from two studios into a scaled support organization (including franchisee onboarding, call center, and a 60-person support staff). Implemented EOS and KPI dashboarding to accelerate speed-to-open and speed-to-profitability, then replicated the playbook as president of an acquired boxing brand while building accounting and ops teams from scratch.”
Senior Chief of Staff & Program Leader specializing in AI-driven transformation in Private Equity
“Executive-operations/program leader who supports senior leadership through multiple concurrent, high-visibility initiatives (tech rollout, cost optimization, growth strategy). Known for creating portfolio dashboards, operating cadences, and decision logs that reduce initiative sprawl, accelerate executive decision-making, and keep cross-functional teams aligned while maintaining strict confidentiality during sensitive changes like leadership restructures.”
Executive HR Leader specializing in global transformation, M&A integration, and organizational design
“Operations/HR leader and advisor with hands-on experience scaling an FDA-regulated manufacturing operation after a national retail placement—driving >40% throughput gains, 60% defect reduction, and cutting turnover by more than half through workforce, compensation, and training system redesign. Also led HR process automation (ATS/HRIS integration, employee self-service) and coaches executives on delegation, accountability, and outcomes-based operating rhythms.”
Director-level Regulatory Compliance & Legal Affairs leader specializing in enterprise risk governance
“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.”
Executive CTO specializing in government/defense cybersecurity and cross-domain solutions
“Former Cubic CTO with direct M&A experience on the company's sale to Veritas Capital, and prior investment analysis experience at In-Q-Tel. Brings a rare blend of executive technology leadership, compliance/security depth, and investment diligence expertise focused on government and military markets.”
Mid-level Salesforce Developer specializing in CRM automation and integrations
“Salesforce-focused engineer with hands-on depth across Service Cloud, OmniScript/DataRaptor, LWC, Aura, and Apex. Particularly strong in building metadata-driven workflows that let operations teams change intake flows without developer tickets, while still making disciplined architecture decisions around when custom code is actually warranted.”
Mid-level Data Analyst specializing in healthcare and financial analytics
“Healthcare analytics candidate with hands-on experience turning messy claims and clinical data into validated SQL/Python pipelines and Power BI dashboards. They have delivered measurable impact in revenue cycle operations, including 15-18% improvement in reimbursement accuracy and 40-45% reduction in manual reporting effort.”