Pre-screened and vetted.
Director of Enterprise Architecture specializing in finance systems, data platforms, and AI
“Architect/engineering leader who built a multi-tenant AI platform end-to-end, including a secure FastAPI orchestrator (JWT, RBAC, tenant isolation, auditing) and an extensible MCP tool-routing layer, then productionized it via fully containerized microservices (Docker, Postgres/pgvector, Redis). Also has strong governance and compliance experience (ARB with security/privacy/SOX) and has owned high-severity incidents through mitigation and RCA/RCCA, plus prior high-volume payments/accounting data pipeline design with audit-grade integrity checks.”
Intern Product & Software Engineer specializing in GenAI/LLM and e-commerce platforms
“Software engineer (2+ years in India) and current GenAI intern who shipped LLM-powered review-writing enhancements at Myntra (Walmart-backed), using pilots and A/B tests to lift review quality by 5% in 30 days. Demonstrates strong LLM operations discipline (logging, dashboards, alerts, rollback) and fast incident response, plus experience delivering developer-focused workshops and public technical talks.”
Executive Technology Architect specializing in FinTech, AI platforms, and cloud modernization
“Entrepreneur building an early-stage community food-sharing, network-effects platform positioned as an alternative to restaurant-centric delivery models (e.g., DoorDash/Uber Eats) by enabling homeowners to act as micro-entrepreneurs. Has been piloting a local community program for nearly a year and uses experiments and customer feedback to validate hypotheses and assess scalability.”
Staff HPC researcher specializing in heterogeneous systems and AI accelerator co-design
“Aspiring founder exploring a deep-tech startup at the intersection of HPC and AI, focused on tightly integrated systems that generate high-quality simulation data for applications like drug discovery and weather prediction. They appear especially motivated by unmet market opportunities and take a pragmatic view of startup risk, prioritizing ideas with strong growth potential that can become real within five years.”
“Machine learning software engineer intern experience at Amazon, where they built a production testing framework to inject frames/videos onto devices to measure embedded CV model inference and ensure broad model compatibility via automatic NNA metadata handling. Also built side projects spanning LLM/RAG orchestration (LangChain/LangGraph with reranking and citations) and applied CV/healthcare work (nail disease detection, medical retrieval chatbot).”
Mid-Level Full-Stack Software Developer specializing in web apps and microservices
“Software engineer with 2.5 years at Amazon working on the Package Tracking page (Amazon’s most visited page), delivering new customer actions like Cancel Delivery and Buy Again within a Spring Boot-based stack. Has hands-on experience with feature-flagged rollouts (Weblab), A/B testing, and scaling/load testing for Prime Day-level traffic, and is upskilling into React while leveraging modern AI coding tools on side projects.”
Mid-level Robotics & Computer Vision Engineer specializing in autonomous systems and edge AI
“Robotics/perception researcher (MVOS Lab, South Dakota State University) who built an end-to-end multimodal RGB-D + LiDAR pipeline for autonomous greenhouse harvesting and 3D plant phenotyping. Demonstrated strong production ownership by diagnosing motion blur with ROS-bag + OpenCV metrics and shipping an edge-deployed, scan-quality-aware workflow that boosted barcode read rate to 98% and supported ~70% autonomous pepper detection/harvesting accuracy.”
Executive marketing leader specializing in brand, digital, and agency transformation
“Experienced corporate operator with a co-founder bringing 50+ combined years of relevant large-company experience, now building a bootstrapped AI/SaaS/Data Infrastructure startup. They have spent the past year developing a detailed business plan, playbook, and investor materials with support from Accenture's startup assessment tools, and are just beginning to engage VCs from a position of strong preparation.”
Entry-level Account Development Representative specializing in FinOps SaaS
“Enterprise-focused SDR candidate with experience prospecting into some of the largest companies in the world using multi-channel outbound, personalized trigger-based messaging, and multithreaded stakeholder outreach. They report never missing quota, worked toward quarterly goals of 20 meetings and $1M in pipeline, and are especially motivated by founding SDR environments where they can help build the pipeline engine from scratch.”
Senior Software Engineer specializing in distributed systems, compliance, and healthcare platforms
“Engineer using AI deeply in real production workflows, not just for code generation: they built agents for PR reviews and incident debugging that reportedly reduced review time by 50% and sped root-cause analysis by 30%. They also designed a three-agent personalization pipeline for real-time navigation curation, showing hands-on experience with multi-agent systems, orchestration, and rule-based refinement.”
Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms
“Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.”
Senior Talent Acquisition Lead specializing in AI, Cloud, and technical recruiting
“Talent/Recruiting Operations leader with Siemens experience managing a blended internal team plus RPO and owning end-to-end TA operations (ATS/Lever, onboarding, background checks, compliance, reporting). Known for redesigning intake-to-offer workflows with measurable impact (20% faster time-to-fill; ~33% fewer aging reqs) and leading automated interview scheduling implementations in partnership with HRIS, IT, and SSO teams.”
Executive Board Chair & President specializing in governance, AI/digital innovation, and scaling businesses
Executive Digital Transformation & AI Modernization Leader for Enterprise and Regulated Sectors
Intern Product Manager & Software Engineer specializing in data analytics and AI
Executive Startup Operator specializing in AI product strategy, GTM, and fundraising
Junior Software Engineer specializing in AI/ML systems and LLM-powered document automation
Executive Technology Architect & CTO specializing in cloud transformation and cybersecurity
Junior Machine Learning Engineer specializing in LLMs and retrieval-augmented generation
Junior Software Engineer specializing in systems programming and infrastructure
Mid-level Full-Stack Software Engineer specializing in streaming media and real-time systems