Pre-screened and vetted.
Mid-level Data Scientist specializing in MLOps and Generative AI
“Robotics software/ML engineer who built perception and navigation-related ML systems for autonomous supermarket carts, including object detection, shelf recognition, and obstacle avoidance. Strong ROS/ROS2 practitioner who optimized real-time performance (reported 50% latency reduction) and deployed containerized ROS/ML pipelines at scale using Docker, Kubernetes, and CI/CD.”
Mid-level Business Analyst specializing in Healthcare IT and Banking operations
“Cross-functional operator who regularly leads globally distributed work and acts as a bridge between product, UX, and analytics. Has driven reporting/dashboard and workflow automation initiatives with senior leadership, using data-backed communication and quick wins to improve adoption and efficiency.”
Mid-level Full-Stack Developer specializing in React and Spring Boot
“Software engineer who built and owned a centralized Asset Management platform at Hyundai Mobis used daily by multiple internal teams, delivering everything from UI/TypeScript React frontend to Spring Boot services, databases, deployment, and post-release support. Experienced in scaling microservices with Kafka-based async workflows, improving data consistency/real-time updates, and implementing reliability patterns like standardized API contracts, retries, DLQs, and targeted caching.”
Mid-level Full-Stack .NET Engineer specializing in Sitecore and cloud-native microservices
“Backend/web API engineer with hands-on experience deploying .NET Core APIs to Azure App Service and stabilizing production systems through disciplined log-driven troubleshooting, environment configuration management, and SQL performance tuning (execution plans, query rewrites, indexing). Has also debugged cross-layer incidents involving DB locks and network latency, and modifies Python/XML automation scripts to meet customer-specific requirements while improving logging and performance.”
Intern Software Engineer specializing in AI/ML and computer vision
“Backend-focused Python engineer who owned and deployed EcoHero, a recycling guidance app using FastAPI + Firebase with barcode lookup, ZIP-code-based state rules, and user history tracking backed by 50 state datasets. Has hands-on Kubernetes + Docker experience and uses GitHub Actions and GitOps-style PR workflows for consistent deployments, plus event-driven async processing patterns with idempotency and retries.”
Senior Product Owner / QA & Supportability Engineer specializing in SIEM (IBM QRadar)
“Built a live free-to-play web-based financial market simulation game (YouTube-channel stock market) as a hobby project, now serving 3000+ users. Implemented core F2P systems including gacha, timed progression gates, and analytics-driven monitoring of engagement and economy health using a TypeScript/Python stack with Redis and Postgres.”
Director of Talent Acquisition specializing in HR strategy, recruiting operations, and employee engagement
“Recruiting leader managing a team of 3 who stays hands-on in high-impact executive searches, including a confidential CMO search run directly with the CEO. Strong HRBP partnership experience, driving company-wide workforce planning/hiring prioritization and implementing Spark Hire one-way video interviews to speed screening and improve consistency and candidate experience.”
Software Engineer specializing in cloud, microservices, and enterprise SaaS
“JavaScript/Node.js engineer with open-source contribution experience (Mongoose) focused on connection pooling, test reliability, and memory/resource management. Has diagnosed and fixed real-world performance issues in an insurance claims application and improved resilience via failover DB design. Also experienced producing compliance/governance documentation for an EU-based biopharma, enabling stakeholders to make decisions quickly amid changing regulations.”
Mid-level Change Management & Strategy Consultant specializing in transformation and risk
“Transformation-focused operator with experience at CVS Health and Wurth, leading usability analysis across dozens of programs during a major operational transformation. Known for data-driven prioritization and executive-ready communication (weekly metric/risk updates, concise progress briefs) to drive cross-functional alignment and measurable operational improvements.”
Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG
“Built production LLM + hybrid RAG and multi-agent orchestration systems at Wells Fargo to automate complaint document/audio transcript understanding and categorization, addressing vocabulary drift via embedding + vector index updates instead of frequent retraining. Strong in LLM workflow reliability (testing/benchmarks/observability) and stakeholder-facing delivery with explainability (citations/SHAP-style justifications) and Tableau dashboards.”
Mid-Level QA Test Engineer specializing in mobile app testing and automation
“QA engineer with Citibank experience owning mobile automation and cross-platform validation (Android/iOS), including push notifications, RBAC, and backend API/data sync checks. Demonstrates strong Cypress/JavaScript E2E expertise—stabilizing CI-flaky React tests via cy.intercept—and builds pragmatic GitLab CI pipelines with smoke/regression gating plus rich reporting (Cypress Dashboard, Slack).”
Senior Game QA Analyst specializing in functional testing and dev tracking
“Embedded QA analyst at Sledgehammer Games on Call of Duty titles (Modern Warfare 3 and shipped Call of Duty: Vanguard), owning deep testing for campaign maps and Zombies systems. Coordinated cross-studio testing with Treyarch and global QA teams, using JIRA/TestRail dashboards and daily reporting to manage regressions, crashes, and high-risk gameplay features, including platform-specific cert-impacting issues.”
Mid-level Full-Stack Software Engineer specializing in AI-powered web products
“Early engineer at a fast-growing startup who owned an AI-powered portfolio/site generation workflow end-to-end (frontend in Next.js App Router/TypeScript through backend orchestration). Emphasizes server-first security/performance (Server Components/Actions, revalidation), and production hardening with validation, caching, observability, retries/idempotency, and CI/E2E testing.”
Mid-level Procurement Analyst specializing in strategic sourcing for industrial and semiconductor manufacturing
“Strategic sourcing/procurement professional with experience at Gumpro and Micron leading indirect (MRO/CapEx) and critical component sourcing initiatives. Uses structured category strategy (spend/Kraljic/Pareto), RFX, risk management, and TCO/should-cost models; reports $10M+ savings and lead-time reduction from 60 days to 2 days while mitigating geopolitical/tariff exposure and strengthening supply resilience.”
Senior PPC Manager specializing in high-budget Google Ads and ROAS growth
“Performance marketer focused on scaling high-spend ecommerce paid media, with hands-on ownership of a ~$150K/month Google Ads account for Solawave. Known for disciplined account restructuring, feed optimization, and controlled testing across Google/Meta/TikTok—driving ROAS improvement from ~2.2 to ~5 in under three months while keeping spend predictable and scalable.”
Senior Growth Marketing Specialist specializing in B2B demand generation and ABM
“Growth/demand gen marketer with strong partnership negotiation experience (notably renegotiating a G2 deal into a 3-year agreement) and a track record of measurable pipeline and ARR impact. Leverages buyer-intent data (G2/Gartner), competitor intelligence, ABM/LinkedIn, and product-led in-app triggers to drive lead growth, conversion improvements, and enterprise upgrades.”
Mid-level Financial/Data Analyst specializing in analytics, forecasting, and healthcare/MarTech data
“Growth/creative marketer from Esleydunn Games who uses Google Analytics to integrate cross-channel performance data (TikTok, YouTube, LinkedIn, Facebook) and run structured A/B tests on video ad length and layout. Reported reducing CPA by 20 per customer when leveraging YouTube and TikTok, and improved CTR through CTA/button placement testing and ongoing user-feedback loops (forum/WeChat topics).”
Principal Talent Acquisition Leader specializing in technical and GTM hiring for SaaS and AI
“Recruiting leader managing teams of up to 26 who stays hands-on with high-impact executive searches; recently led and closed a VP of Revenue search in 60 days to unblock revenue growth. Partners closely with HRBPs and executive stakeholders (including CFO) on workforce planning, attrition reduction, and compensation/leveling decisions, and has rebuilt recruiting processes with structured, metrics-driven adoption.”
Senior Business Analytics Analyst specializing in product and customer analytics
“Darwinbox team member who supported talent/recruiting operations while also driving product improvements across HR modules (recruitment, onboarding, payroll, performance). Led a small team (5–6) and implemented discovery-driven configuration and BI reporting (Power BI/Tableau/Confluence), including a reported 30% reduction in recruitment configuration issues and real-time funnel reporting to support fast hiring.”
Mid-level Software Engineer specializing in cloud, data engineering, and AI/ML
“Backend/platform engineer who owned an AI-powered resume optimization service end-to-end (FastAPI + Celery + Redis/Postgres) and optimized it for unpredictable LLM task latency. Strong Kubernetes/GitOps practitioner (Helm, autoscaling, probes, ArgoCD rollbacks) with experience in on-prem-to-cloud migrations using Terraform and CDC-based replication, plus real-time Kafka pipelines monitored via Prometheus/Grafana.”
Senior Project Manager specializing in industrial construction and energy projects
“Project/operations leader who helped a growing company (2023–2024) overhaul its internal delivery operations by standing up a PMO and customizing PMI-based project management frameworks end-to-end (requirements, sprint cadence, bug handling, dashboards/KPIs). Strong in diagnosing operational inefficiencies through current/future-state analysis and advising founders/executives with a servant-mentor style grounded in deep listening and candid feedback.”
Mid-level Data Engineer specializing in cloud data platforms and real-time analytics
“Customer-facing data engineering professional who builds and deploys real-time reporting/dashboard solutions, gathering reporting and compliance requirements through direct stakeholder engagement. Experienced with Google Cloud IAM governance, secure integrations (encryption, audit logging), and fast production troubleshooting of ETL/pipeline failures with follow-on monitoring and automated recovery improvements; motivated by hands-on, travel-oriented customer work.”