Pre-screened and vetted.
Mid-level Graphic Designer specializing in brand identity and digital/print design
“Marketing creative designer/art director focused on high-polish, system-driven social campaigns and scalable production. Builds robust Figma design systems (components, auto-layout, variables) and modular template kits to support high-volume output without quality drift, and edits lightweight short-form videos with platform-specific exports for Reels/TikTok/Shorts. Recent work includes campaigns for a boutique restaurant and a non-profit horse sanctuary donation drive, collaborating closely with UA/growth and product in fully remote async workflows.”
Entry-level LMS operations and testing analyst specializing in EdTech
“Candidate stands out for treating AI as a structured productivity and coordination layer rather than just a coding assistant. They describe using role-based multi-agent workflows across research, planning, technical execution, QA, security, and documentation, with a strong emphasis on human review and production validation.”
Junior .NET Developer specializing in ASP.NET MVC and test automation
“Unity gameplay programmer focused on player movement and "game feel," implementing responsive controls (variable jump height, forgiveness mechanics) by combining Update-based input with FixedUpdate physics and velocity-driven movement. Brings client-server/REST fundamentals from outside games and is actively ramping into Unity multiplayer (Photon/Mirror-style) via small synchronization prototypes.”
Intern Game Designer specializing in Unity, 3D asset creation, and data-driven design
Mid-level Account Manager specializing in client retention and issue resolution
Intern Full-Stack Software Engineer specializing in web applications
Intern Web Developer specializing in system testing and technical documentation
“Built an automated ML/NLP document classification system for unstructured legal documents, combining classical models (TF-IDF + logistic regression/random forest) with entity resolution via fuzzy matching validated by precision/recall. Also implemented semantic similarity search using sentence embeddings stored in FAISS and improved matching by fine-tuning a transformer on domain-specific data and tuning similarity thresholds for fewer false positives.”