Pre-screened and vetted.
Junior Software Engineer specializing in full-stack development and machine learning
Senior HR Operations & Talent Acquisition leader in staffing and client implementation
Junior Data Analyst specializing in reporting, BI dashboards, and financial data analysis
Mid-level Field Marketing Specialist specializing in events, tradeshows, and lead generation
Mid-level IT System Support specialist in internal systems, reporting, and ISO documentation
Mid-level Robotics & AI Engineer specializing in SLAM, computer vision, and generative AI
Mid-level Data Analyst specializing in BI, analytics, and data engineering
Senior CRM & Lifecycle Marketing Leader specializing in multi-channel retention and growth
Director-level Unity developer specializing in cross-platform game development
Mid-level Graphic Designer specializing in brand systems and visual storytelling
Senior Unity Game Developer specializing in AR/VR, Web3, and mobile games
Mid-level Sales & Operations professional with SaaS SDR and government admin experience
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Mid-level Site Reliability & Support Engineer specializing in Ruby on Rails platforms
Mid-level Data Analyst specializing in business intelligence and customer analytics
Director-level Operations & Communications Leader in Live Production and Media
Entry Data Analyst specializing in ETL pipelines and business intelligence
“Analytics candidate with hands-on experience building reliable healthcare reporting layers from messy transactional data using SQL and Python. Stands out for combining data transformation, KPI definition, validation rigor, and performance tuning to deliver reusable reporting assets that improve trust in operational metrics.”
Mid-level Data Analyst specializing in dashboards, automation, and IT support analytics
“Built and productionized an LLM-powered service desk ticket triage and reporting agent that classifies, prioritizes (including sentiment/urgency), and summarizes tickets into structured SQL outputs feeding Power BI dashboards. Emphasizes production reliability (99% uptime) with retries, schema validation, confidence thresholds, human review queues, and rule-based fallbacks, delivering 85–90% reduction in manual effort and 25–30% faster resolution times.”