Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation
Mid-level Business Operations & Consulting professional specializing in data-driven operating systems
Senior Digital Advertising Strategist specializing in affiliate and performance marketing
Senior Full-Stack Engineer specializing in SaaS, LegalTech, and Web3
Senior Performance Marketing Manager specializing in SEO, paid media, and lifecycle growth
“Creator-first growth and partnerships operator spanning gaming and consumer (skincare) launches, combining creator-led activations with paid amplification across Meta/TikTok/Discord. Strong in performance-based deal structures and rigorous measurement (CAC, ROAS, cohort/LTV) to scale what works and stop what doesn’t; has delivered 3.4x ROAS partnerships and a 31% new-customer lift in a GTM.”
Senior Growth & Performance Marketing Manager specializing in digital advertising
“Paid media specialist running multi-platform acquisition for e-commerce, allocating budgets across Meta/Google/TikTok/Snapchat and optimizing toward conversions and ROAS. Emphasizes structured creative experimentation (video engagement + LPCR) and audience segmentation/exclusions to reduce overlap, with a seasonality recovery example in jewelry (post–Mother’s Day retargeting with offers to restore ROI).”
Mid-level Programmatic Account Manager specializing in omnichannel and streaming advertising
“Performance marketer experienced managing $50K+/month+ budgets across major DSPs and social/video platforms (TTD, DV360, Meta, Amazon, LinkedIn, TikTok, Reddit, CTV/streaming). Highlighted a multi-channel campaign for a Chicago architectural boat tour that used pixel-based purchase tracking to achieve an 8:1 ROAS and drive millions in attributed sales, with a disciplined testing and optimization cadence.”
Senior Full-Stack Engineer specializing in MERN, AWS, and scalable SaaS platforms
“Frontend lead for B2B SaaS products, owning React + TypeScript architecture end-to-end and scaling complex dashboards/workflows with a feature-based structure, shared design system (Tailwind), and strong quality automation. Experienced shipping high-impact features quickly using incremental delivery, feature-flagged rollouts, and performance profiling/optimization to keep production stable as usage grows.”
Mid-level Product Manager specializing in growth, activation/retention, and operations
“Product leader with experience spanning startups and enterprise-scale logistics in MENA, building and managing web/mobile business interfaces including dashboards, admin tools, marketplaces, and B2B quoting systems. Brings a metrics-driven approach to product health and experimentation, plus strong player-informed understanding of core F2P mechanics and live-ops planning.”
Mid-level Talent Development Specialist specializing in technical recruiting and HR analytics
“Recruiting Operations leader with 5+ years managing a small team and owning end-to-end process improvements, including implementing a new ATS that cut time-to-fill by 30%. Built structured, role-specific interview feedback surveys (9 Microsoft Forms) and leveraged Lever reporting to diagnose funnel drop-off and improve candidate experience. Also designed an early-careers hiring roadmap that enabled 30 intern offers in a single quarter through assessments, campus outreach, and faster scheduling.”
Senior Performance Marketing Specialist focused on paid media and growth
“Performance marketer managing high-spend paid media ($60K–$150K/month) across Google Ads, Meta, LinkedIn, and TikTok for enterprise SaaS, focused on revenue growth and qualified lead gen. Emphasizes rigorous testing (single-variable isolation), GA4+CRM-based attribution, and full-funnel budget allocation to drive 4–6x ROAS and restore performance when accounts stall.”
Robotics Software Engineer specializing in ROS 2/DDS infrastructure and fleet observability
“Robotics software engineer focused on production ROS 2 (Humble) systems for warehouse AMRs, with strong architecture and integration chops. Built a ROS 2 Lifecycle-based hardware abstraction layer to decouple autonomy from sensors (including mid-production LiDAR vendor swap), enabling mixed fleets and cutting bring-up/integration time dramatically. Also develops Nav2 plugins, MPPI tuning workflows, and scalable simulation/CI tooling (Gazebo, Docker, GitHub Actions) for high-throughput testing.”
Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations
“Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.”
Mid-Level Backend Software Engineer specializing in distributed financial systems
“Full-stack engineer with fintech payments experience who shipped an end-to-end guest invoice payment flow emphasizing reliability under retries/failures (idempotency via DynamoDB, async processing with Lambda/EventBridge/SQS + DLQ). Also built a FastAPI backend with Cognito/JWT + scoped guest tokens and a polished React/TypeScript checkout UX, and has performance-focused Postgres/Redis design experience for flash-sale e-commerce workloads.”
Mid-level Full-Stack & AI Engineer specializing in LLM applications
“Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.”
Junior Software Engineer specializing in backend, cloud, and robotics automation
“Graduate Research Assistant in Robotics at Arizona State University who built an end-to-end LLM-driven task execution framework enabling collaborative robots to convert high-level natural language instructions into safe, executable ROS actions. Implemented robust monitoring, failure detection, and automatic replanning, and addressed real-world issues like timestamp/frame-transform mismatches and heterogeneous robot interoperability using adapter nodes.”
Mid-level Game/Software Engineer specializing in Unity & Unreal cross-platform development
“Unity/VR developer who has shipped on Meta Quest (SideQuest) and built standalone PCVR medical applications used with real patients. Built a fully solo roguelike twin-stick shooter with a highly modular ScriptableObject/state-machine architecture, including custom build-time tooling to overcome Unity runtime constraints. Uses AI selectively (e.g., Claude) to generate editor tooling like a match-3 level designer to speed up level production.”
Senior QA Automation Engineer specializing in end-to-end test automation for FinTech and automotive platforms
“QA Engineer with 8 years owning end-to-end quality on high-traffic, live fintech and automotive platforms (Fuse Autotech), specializing in critical financial and e-signing workflows. Combines API testing (Postman), log observability (Kibana/Logz.io), and disciplined Jira/Xray processes to accelerate triage and shorten release cycles (1 week to 3 days) while reducing production issues and integration/regression defects with measurable impact.”
Senior Full-Stack Engineer specializing in React and Python
“Backend/data engineer focused on production AWS systems: builds multi-tenant FastAPI services on ECS behind API Gateway/ALB with serverless orchestration (Lambda, SQS, Step Functions) and strong reliability practices (JWT/JWKS auth, idempotency, backoff retries, structured logging). Also delivers AWS Glue/PySpark ETL pipelines with schema/data-quality controls and has modernized legacy analytics logic into Python with parity validation; improved a key dashboard SQL query from ~12–25s to ~2–3s.”
Mid-level AI Engineer specializing in GenAI, agentic workflows, and RAG systems
“Built a production multi-agent RAG assistant using LangChain/LangGraph with OpenAI embeddings and FAISS, focusing on retrieval quality and latency (Redis caching, parallel retrieval, precomputed embeddings). Experienced orchestrating ETL/ML pipelines with Airflow and Databricks Workflows, and has delivered an AI assistant for business ops to extract insights from policy/compliance documents through close non-technical stakeholder collaboration.”
“Built a production AI-powered university marking system that automates question generation and grading from PDF course materials using a RAG pipeline (S3 + Pinecone) orchestrated with LangChain/LangGraph and deployed on AWS ECS via Docker/ECR and GitHub Actions CI/CD. Addressed a key real-world LLM challenge—grading consistency—by implementing rubric-based scoring, retrieval re-ranking, and standardized context summarization, validated against human instructors.”
Senior Game QA & Operations Specialist specializing in LiveOps and Korean–Indonesian localization
“Game QA professional with AAA experience on Counter Strike Online, owning high-risk areas like matchmaking and server stability end-to-end (test planning through release verification). Has led cross-platform mobile QA for complex multiplayer titles with third-party integrations and tight deadlines, and strengthens coverage via automation and disciplined JIRA-based triage and reporting.”
Senior Customer Success & Operations Manager specializing in enterprise retention and renewals
“Enterprise Customer Success professional with end-to-end ownership from onboarding through renewal, delivering strong measurable outcomes (35% adoption lift, 45% key feature usage lift, 95% CSAT, and 100% renewal). Experienced partnering cross-functionally with Product/Engineering/Sales to resolve integration issues and shaping roadmap via PRDs/user stories, with martech analytics/workflow expertise including Slack automation that improved lead engagement by 30%.”
Mid-level Full-Stack Developer specializing in AI-driven cloud-native applications
“Full-stack engineer with healthcare/ops analytics experience at PatientXpress, shipping a real-time operational dashboard end-to-end (React/TypeScript + Node/Postgres on AWS) that cut manual reporting by 50%. Strong in performance and reliability work—pagination/caching, Postgres indexing/partitioning, Terraform-based AWS provisioning, CI/CD with GitHub Actions, and production incident response with improved monitoring (CloudWatch/Prometheus).”