Pre-screened and vetted.
Mid-level Data Scientist / ML Engineer specializing in LLMs and predictive analytics
Director-level Paid Social & Search Strategist specializing in entertainment and e-commerce growth
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Executive Engineering Leader specializing in data platforms and SaaS
Senior Customer Success Manager specializing in Enterprise SaaS retention and AI enablement
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Mid-level Backend Software Engineer specializing in data platforms and reporting
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Director-level Executive Operations & Administrative Leader in government, nonprofit, and private office settings
“Executive operations/project leader who managed cross-entity priority initiatives for Eric Schmidt’s family office, driving alignment through structured reporting and dashboards. Led a board-level digital transformation at ACC, moving a 14-member Board of Trustees from paper processes to board software, and brings high-discretion experience supporting Senator Warner.”
Senior Talent Acquisition Operations leader specializing in scalable global recruiting programs
“Recruiting Operations leader who has managed 6–12 person teams and owned the full recruiting ops lifecycle, including ATS governance, reporting, capacity planning, and vendor coordination. Notably redesigned interview scheduling/feedback workflows to cut time-to-fill 25–30% for priority technical roles, reduce candidate drop-off ~20%, and boost recruiter load capacity 15–20% without sacrificing quality; also led an end-to-end CPAL ATS implementation reducing manual scheduling effort by ~40%.”
Mid-level Cybersecurity Analyst specializing in SIEM, incident response, and Zero Trust
“Cybersecurity/SOC-focused engineer with hands-on production experience integrating and tuning Splunk Enterprise Security for a zero-trust program, including CIM normalization, correlation/risk-based detection tuning, and performance optimization via forwarder-level filtering and index strategy. Has cross-disciplinary incident troubleshooting experience spanning SIEM, networking, and hardware, and has automated customer/team-specific security workflows using Python in Splunk playbooks; collaborated on-site with HSBC IT/SOC teams to deliver dashboards and security policies.”
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Senior Data Engineer specializing in multi-cloud data platforms and generative AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Senior Creative Design & Innovation Leader specializing in brand strategy and human-centered design
“Creative director/designer spanning high-polish marketing brand work and enterprise innovation: built a full podcast brand ecosystem and a cinematic historical visualization using Google Veo 3. Also led an AR/VR-assisted remote troubleshooting initiative at TriMas (HoloLens-style workflows), delivering a 40% MTTR reduction and cutting expert travel by 50%+ while standardizing reusable interaction components for global teams.”
Mid-level AI Engineer specializing in GenAI and RAG systems
“AI engineer who built a production e-commerce system that analyzes product images alongside sales and demographic data to generate actionable creative recommendations, now used by 20+ clients. Also built orchestrated document/agent pipelines (Airflow, LangGraph) including a compliance drift detector auditing 401 compliance documents, with an emphasis on traceability, logging, and production integration.”
Senior Digital Marketing Manager specializing in paid media and growth marketing
“Performance marketer managing a $500K/month paid media portfolio across Google, Microsoft, Meta, TikTok, Reddit, YouTube, and Quora with a focus on profitable growth. Uses a rigorous testing framework across creatives, bidding, and landing pages (leveraging Adobe Analytics and customer journey dashboards) and cites 200–400% YoY revenue growth plus 200–300% ROAS improvement; recently restored 20–30% of lost conversions at Labcorp within two weeks after diagnosing competitive and seasonal shifts.”
Mid-Level Game Designer specializing in systems and economy design
“Game economy/progression designer with hands-on ownership of end-to-end systems and live-ops tuning on major mobile titles (Star Trek Fleet Command, Marvel Contest of Champions). Builds spreadsheet-based simulations and telemetry-driven tuning loops to prevent inflation and reduce progression friction, including a multi-iteration optimization that lifted D7 retention ~7% while maintaining monetization targets.”
Senior Paid Ads Specialist specializing in multi-platform performance marketing
“Performance marketer focused on e-commerce growth, managing $120K/month in spend across Google and Meta with reported 5x+ ROAS. Emphasizes full-funnel structure and creative iteration (copy, hooks, UGC) in collaboration with in-house creative teams, and prioritizes client reporting around sales/profit outcomes.”
Senior AI Engineer specializing in production GenAI systems
“AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.”
Mid-level Machine Learning Engineer specializing in healthcare NLP and MLOps
“ML/AI practitioner in healthcare (Syneos Health) who has deployed production clinical NLP and risk models. Built a BERT-based physician-note information extraction system on Docker + AWS SageMaker (reported ~42% retrieval improvement) and automated retraining/deployment with Airflow and drift detection, while partnering closely with clinicians to drive adoption (reported ~18% readmission reduction).”
Mid-level AI/ML Engineer specializing in GenAI and predictive modeling
“Built and deployed a GPT-4-powered medical assistant for clinical staff to reduce time spent searching guidelines and EHR information, with a strong emphasis on safety and compliance. Uses strict RAG, confidence thresholds, and fallback behaviors to prevent hallucinations, and runs production-grade workflows orchestrated with LangChain/LangGraph plus Docker/Kubernetes/MLflow and monitoring for reliability and cost.”