Pre-screened and vetted.
Junior Venture Associate specializing in early-stage investing and financial modeling
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-level Full-Stack Developer specializing in React, Node.js, and Flutter
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
Mid-level Digital Marketing & Analytics Associate specializing in SEO and BI dashboards
Entry-level AI/ML Engineer specializing in RAG and conversational AI
Junior Software Engineer specializing in AI-powered full-stack SaaS
“AI-first developer who reports using agents for roughly 85% of coding work, with a disciplined process centered on detailed specs, prompt design, review, and testing. Has built a personal multi-agent orchestration setup with specialized agents for testing, PR extraction, review, and synthesis, and stays current through AI engineering newsletters and a network of AI companies.”
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
Mid-Level Full-Stack Engineer specializing in React, TypeScript, and Node.js
Senior Unity Game Developer specializing in multiplayer, AR/VR, and Web3 games
“Unity/VR developer who has shipped multiple Meta Quest titles, including a Meta Quest 3 VR heritage app backed by the Malaysian Tourism Commission. Built a complex MMO metaverse game end-to-end solo (Photon Fusion 2 multiplayer, 21x13km world, procedural biomes, combat/inventory) with blockchain/NFT integration (Solana/BSC) and AWS hosting, and actively uses AI tools to accelerate prototyping and internal tooling.”
Mid-level Full-Stack Developer specializing in AI and cybersecurity platforms
“Builder of multiple AI products including Nova-Core, a multi-model assistant using Grok and Gemini, and Lumina Shield, a prototype for vulnerability detection and performance analysis that routes findings into Nova-Core for explanation and fixes. Also created a desktop voice agent ('Soul') and brings 6 years of experience in a non-profit audio consultancy, with a personal story of being a cancer survivor motivated by purpose-driven work.”
Mid-Level Software Developer specializing in Unity VR training applications
“Unity/VR developer who shipped and published "Avatar Academy," a VR training software platform, to the Meta Quest Store. Worked on a small team where they owned most of the Unity implementation while teammates handled visuals and the backend/database/web dashboard.”
Senior Performance Marketing Manager specializing in paid media and affiliate growth
“Performance marketer focused on high-spend lead generation, having personally owned a $500K/month account across Meta Ads and Google Search. Uses a full-funnel, multi-channel approach (including TikTok) and makes scaling decisions based on blended CPA plus downstream CRM quality metrics like lead-to-close rate, with disciplined creative/audience testing and clear client communication.”
Entry-level Business Analyst specializing in data analytics and process improvement
“Analytics-focused candidate with experience turning messy operational and educational program data into validated reporting assets, dashboards, and AI-ready datasets. They stand out for pairing SQL/Python data preparation with rigorous validation and lightweight NLP on open-ended feedback, driving reported improvements in reporting efficiency, engagement, and student success outcomes.”
Mid-level Frontend & Mobile Developer specializing in Next.js and React Native
“Frontend engineer with digital banking experience who led end-to-end development of a React/Next.js dashboard and later shipped a major digital-signature feature under tight deadlines. Emphasizes scalable architecture and team-wide quality practices (Husky/ESLint/Prettier, code reviews), plus pragmatic state/data tooling (Zustand + React Query) and controlled rollouts via feature flags.”
Mid-Level Front-End React Developer specializing in dashboards and real-time web apps
“Frontend engineer who helped build a desktop-as-a-service product from scratch and has delivered complex React + TypeScript workflows (including multi-stage approvals). Notable for performance-focused refactoring (removing unnecessary memoization), building reusable component patterns, and leading a major shift from hard-coded forms to a configurable form-builder with strong dev/QA collaboration and heavy scenario testing.”
Intern Data Analyst specializing in analytics and machine learning
“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”
Mid-level Performance Marketer specializing in paid media and social growth
“Performance marketer specializing in high-spend DTC/ecommerce paid media, managing $60K–$100K/month budgets across Meta, Google, and TikTok. Uses a rigorous testing framework (stat sig thresholds, 95% confidence) and a GA4/GTM + Meta Event Manager data loop to scale winning creatives and stabilize blended CAC; cites 30% monthly growth and a 25% CPA reduction with 4x ROAS after resolving creative fatigue and audience overlap.”
Intern Software Engineer specializing in Voice AI and NLP
“Customer-facing engineer from Popular Tech who built and deployed tailored AI/automation features for enterprise voice systems. Experienced in integrating customer workflows via APIs, handling live production latency incidents through log tracing and rapid stabilization, and validating solutions through phased rollouts, monitoring, and direct on-site collaboration with clients.”