Pre-screened and vetted.
Mid-level Software QA Tester specializing in manual, automation, API, and database testing
“Console game QA tester with ~2 years of experience testing PS4 and Nintendo Switch titles across genres (RPG, shmup, action platformer). Focuses on identifying functional/UI/UX issues and triaging high-risk crash and game-breaking bugs; prefers structured team environments and a 9-to-5 schedule.”
Mid-level Supply Chain Analyst specializing in strategic sourcing and supply chain analytics
“Sourcing/procurement professional focused on electronic components, leading end-to-end RFQ and supplier selection through negotiation and delivery. Demonstrates strong data-driven cost management (Power BI modeling, benchmark pricing) and measurable results including ~18% cost reduction, avoiding production delays during shortages, and automating RFQ comparisons to cut cycle time ~40%.”
Senior HR Manager specializing in global HR operations and talent management
“HR/People leader with experience driving enterprise change and operational improvements, including a regional-to-global org restructure across the U.S. and Canada and major benefits/HRIS transitions. Strong blend of systems thinking and people analytics (dashboards, engagement/turnover diagnostics) plus hands-on leadership coaching and high-stakes employee relations investigations in partnership with Legal and executive leadership.”
Senior Account Executive specializing in IT hardware sales and key account growth
“Full-cycle sales professional focused on IT hardware/infrastructure, prospecting into SMB through enterprise and engaging C-level stakeholders. Reports consistent outbound output (5–10 meetings/week, ~75% conversion) and experience growing large accounts, including expanding a public-company data center initiative into a $2.1M account.”
Senior Enterprise Account Executive specializing in SaaS and HR tech
“Enterprise retail seller focused on quantified, finance-grade ROI storytelling and pilot-to-expansion motions. Has closed and expanded major logos including Kroger (flagship pilot leading to $200K MRR upsell) and Procter & Gamble (expanded from $20K to $250K MRR), and exceeded a $540K MRR quota two years running (106% in 2024; 116% in 2025) with additional $100K+ MRR wins like Target and First Student.”
Mid-level Full-Stack & Data Engineer specializing in AWS cloud and real-time streaming
“Backend engineer with experience at Cigna evolving REST API services backed by PostgreSQL, emphasizing reliability/correctness, scalability, and observability. Has hands-on production experience with FastAPI (contract-first design, Pydantic schemas), performance tuning (indexes, caching), and secure auth patterns (OAuth/JWT, RBAC, row-level security via Supabase), plus low-risk incremental rollouts using feature flags and dual writes.”
Intern Data Scientist specializing in ML engineering and LLM agentic workflows
“Built an agentic, multi-step LLM system that generates full-stack code for API integrations using LangChain orchestration, Pinecone/SentenceBERT RAG, and a human-in-the-loop feedback loop for iterative code refinement. Also collaborated with non-technical content writers and PMs during a Contentstack internship to deliver a Slack-based AI workflow that generates and brand-checks articles with one-click approvals.”
Director-level Talent Acquisition & People Operations leader in Financial Services and Consulting
“Recruiting leader with 4 years managing a 25-person recruiting team and deep experience in C-suite executive search. Built a full recruiting lifecycle process from the ground up in their current role, scaling to ~60 candidate interviews per week and implementing Salesforce-based pipeline tracking. Regularly partners with HRBPs and works directly with CEO/COO on retention, budgeting, and hiring/firing decisions.”
Junior Data Scientist/Data Engineer specializing in ML pipelines and analytics
“Machine Learning Intern at Docsumo who delivered a customer-facing fraud-detection solution end-to-end: rebuilt the pipeline, deployed a Random Forest model, and shipped a Python/Flask microservice on AWS SageMaker. Drove measurable production impact (precision +30%, processing time cut in half, manual review -60%, customer satisfaction +15%) and demonstrated strong customer integration and live-incident response skills.”
Mid-level Regulatory Affairs Manager specializing in cosmetics, OTC, and global compliance
“Sourcing/product professional with hands-on experience managing end-to-end contract manufacturing for consumer products (including a pressed eyeshadow palette) from vendor selection and GMP-focused audits through formula approval, pilot batches, claims testing, and launch. Demonstrates strong commercial negotiation (MOQs, tiered pricing, component cost-downs tied to service metrics) and pragmatic risk mitigation, including a COVID-era nutrition drink mix launch pivot to a flavor extension leveraging existing inventory.”
Director-level Talent Acquisition leader specializing in global recruiting operations
“Talent/Recruiting Operations leader who has managed 6–20 person TA Ops teams and led a global "Recruiting 2.0" transformation standardizing intake and structured interviews, automating screening/scheduling, and building Power BI funnel dashboards. Delivered measurable impact including ~30% time-to-fill reduction and improved candidate/hiring manager experience, and has hands-on systems implementation experience across Workday Recruiting, SuccessFactors, Eightfold, DocuSign, and background check integrations.”
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and NLP
“AI/ML engineer with forensic analytics and healthcare claims experience (Optum), building production LLM/RAG systems to surface context-driven fraud patterns from unstructured claim notes and explain risk to investigators. Strong in large-scale retrieval performance tuning, legacy API integration with reliability patterns (SQS, circuit breakers), and MLOps orchestration on Airflow/Kubernetes with rigorous testing, monitoring, and stakeholder-friendly interpretability.”
Intern Machine Learning Engineer specializing in forecasting, NLP, and RAG systems
“Intern who built and deployed a production LLM-powered contract analysis system for finance teams: Azure Document Intelligence for text/table extraction plus Gemini prompting to surface key terms and risks via an async API and simple UI. Emphasizes reliability in production with fallbacks, guardrails against hallucinations, and operational concerns like latency/cost/versioning, delivering summaries in under 30 seconds instead of hours.”
Junior Recruitment Consultant specializing in candidate sourcing and technical recruiting
“Sales/business development support experience at a startup (Goliath) focused on opening new accounts through candidate-led insights—identifying target companies based on where top candidates were interviewing and qualifying prospects via funding and growth signals. Helped enable cold outreach by finding hiring manager/co-founder contact info and contributed to winning a new account that led to candidate interviews.”
Mid-level AI/ML Engineer specializing in GenAI and financial risk & compliance analytics
“Built and deployed a production LLM-powered financial risk and compliance platform to reduce manual trade exception handling and speed up insights from regulatory documents. Implemented a LangChain multi-agent workflow with structured/unstructured data integration (Redshift + vector DB) and emphasized hallucination reduction for regulatory safety using Amazon Bedrock. Strong MLOps/orchestration background across Kubernetes, Airflow, Jenkins, and monitoring/testing with MLflow, Evidently AI, and PyTest.”
Senior Demand Generation & Paid Media Campaign Manager (B2B)
“Performance marketer with experience managing $120K+/month budgets and large account portfolios (200+ accounts at Scorpion), driving a 128% revenue increase over 12 months. Deep hands-on expertise across LinkedIn, Google Ads (incl. Target CPA/Max Conversions, Performance Max), Meta, and TikTok with a statistically rigorous testing approach and demonstrated turnaround results despite privacy/measurement constraints.”
Mid-Level Game Designer specializing in live ops and content design
“Game/content designer with experience at EA and on a mobile title (Ultimate Fishing), owning PvP mode UX/gameplay improvements and building UE5 Blueprint systems (state machine + modular weapon/ability architecture) to support multi-developer teams. Also designed College Football 2025/2026 challenge content grounded in real football culture and research, improved broken data-driven toolsets via spreadsheet formula work, and partnered with economy to rebalance rewards by rapidly shipping additional challenges.”
Senior Full-Stack Software Engineer specializing in .NET, Python, and cloud-native systems
“Full-stack engineer who owned an end-to-end production feature for a Piraeus Bank stock exchange module, spanning React/TypeScript, backend services, and cloud operations with Docker + CI/CD, delivering reported 90% faster API responses and improved uptime. Also built a Smartwound research MVP on AWS, creating a Python image-processing/scoring pipeline to ship despite unclear image-analysis specs.”
Staff RPA & Automation Engineer specializing in Financial Services
“Blue Prism RPA developer in a small FinTech-aligned team who owned ~20 production bots and drove both delivery and reliability. Built a shared VDI/locking design that cut infrastructure cost ~20–30% and routinely handled ServiceNow-driven production incidents end-to-end, including hotfixes and longer-term SDLC fixes. Also acted as a player-coach, training junior hires and maintaining high bot success rates (up to 99% within SLA).”
Senior Procurement & Facilities Manager specializing in P2P and art logistics
“Procurement/sourcing professional with hands-on experience across facilities build-outs, custom print/envelope supply, and complex logistics. Demonstrated ability to reduce costs (20% savings on custom envelopes) while maintaining delivery performance, and to mitigate trade/tariff exposure through alternative routing strategies. Uses Critical Path Method to manage multi-step production and packaging dependencies and has improved supplier performance in multi-site service delivery environments (Iron Mountain/Office Depot).”
Mid-level Solutions Architect/Engineer specializing in AI and data integrations
“Solutions Engineer specializing in taking LLM copilots from demo to production, with a strong emphasis on enterprise security (RBAC/OAuth), grounded RAG behavior (cite-or-refuse), and operational readiness (eval loops, logging, runbooks). Experienced in real-time diagnosis of agentic/LLM workflow failures and in partnering with Sales/CS to run integration-first POCs that clear security and reliability concerns and accelerate rollout.”
Mid-level Data Scientist specializing in Generative AI and LLM production systems
“Built and deployed a production LLM-powered workflow assistant that automated internal marketing/production business tasks (document summarization, repeated Q&A, status updates). Demonstrates end-to-end applied LLM engineering: modular RAG architecture, hallucination/latency mitigation, automated evals to prevent prompt regressions, and Azure-based orchestration (Functions/Logic Apps) with monitoring and controlled rollouts.”
Senior Unity/C# Developer specializing in mobile and VR games
“Unity gameplay engineer with hands-on experience spanning AI behavior-tree architecture (Behavior Designer), authoritative multiplayer networking (Photon/Mirror), and aggressive VR (Meta Quest) optimization. Built designer-friendly tooling (Excel-driven balancing, prefab automation bridging Marvelous Designer/Blender/Unity) and has experience mentoring juniors within an entity/HMVC-based architecture at Playtica.”
Senior Lifecycle & Growth Marketing Leader specializing in CRM and customer journeys
“Value-added services leader at América Móvil (Claro Peru) who launched and scaled a gaming app through telco distribution, using revenue-share partnerships and multi-channel GTM (SMS, app notifications, retail/distributors). Strong in data-driven segmentation and continuous optimization of acquisition/engagement loops, with success measured via activations, usage/retention, and incremental revenue.”