Vetted Time Management Professionals

Ramesh Ramanathan

Screened ReferencesStrong rec.

Executive HR and IT consultant specializing in talent, operations, and AI-enabled business functions

Chantilly, VA20y exp

“High-volume full-desk recruiter who specializes in driving difficult searches to close with tight process discipline. In one standout example, they filled a highly niche Swahili-speaking video journalist role in DC by moving beyond job boards and networking into diaspora communities nationwide, ultimately relocating and closing a candidate from Maine.”

William Armstrong

Screened ReferencesStrong rec.

Junior Product Engineer specializing in AI and SaaS

San Francisco, CA1y exp

“Product intern at an AI startup (AdvisorGPT) who helped turn an LLM-based prototype into a production SEO blog-generation workflow that matched a firm’s tone/voice and targeted specific search phrases. Strong at bridging technical and non-technical teams, rapidly learning new AI tooling, and driving adoption through customer calls, UX improvements, and customer-facing demos/workshops.”

“Frontend engineer/lead who has owned end-to-end architecture for large customer-facing React/Next.js platforms, emphasizing strong API contracts (GraphQL + TypeScript codegen), automated quality guardrails, and performance as a feature. Built complex workflow UIs including a multi-step patient booking flow for New York’s largest healthcare provider and an admin dashboard handling 400,000+ USDA ingredient records, with disciplined state management, staged rollouts, and real-user monitoring.”

“Frontend engineer who led an enterprise customer-facing analytics dashboard end-to-end, handling complex visualizations, real-time updates, and high-performance requirements. Demonstrates strong architecture and scale practices across React/TypeScript, Redux Toolkit/RTK Query, GraphQL, and performance techniques like virtualization and code-splitting, plus disciplined QA/rollout with feature flags, Cypress, Sentry/New Relic, and Lighthouse.”

“UK-based Unity/VR generalist who shipped a Meta Quest VR installation to art galleries worldwide while at Julian Opie Studio, acting as sole programmer and producing the art pipeline. Built a custom Spatial Anchors-based spatial mapping system with little documentation and developed real-world operational procedures to keep installations stable for exhibitions with hundreds of daily visitors. Also contracted as a 3D generalist at Blue Zoo, producing all assets/animations and environment setup for a Tate Gallery kids game, finishing ahead of schedule.”

“Forward-deployed, full-stack/platform engineer who owns production features end-to-end across frontend, backend, data, and infrastructure (AWS serverless, Terraform, React). Has modernized critical fintech/payment systems (zero-downtime monolith-to-microservices with Kafka event sourcing) and productionized AI-native support workflows (LLM + RAG on Pinecone) with measurable gains in latency, incidents, CSAT, and support efficiency.”

“Customer-facing technical specialist with experience spanning regulated Class II/III medical devices (FDA compliance, firmware vulnerability escalation) and large-scale industrial/energy deployments. Known for rigorous troubleshooting using logs/network traces and tight documentation/escalation in Salesforce, plus repeatable onboarding and integration practices (API into CI/CD, secrets via env vars, container standardization).”

Ranxin Li

Screened

Mid-Level AI/Full-Stack Engineer specializing in agentic LLM systems and RAG

San Jose, USA2y exp

“Built and deployed Clyra.AI, an AI-driven daily scheduling product that uses a LangGraph-based multi-agent LLM pipeline (task extraction, verification, reflection) grounded with strict RAG over emails/documents/calendars and real-world signals like health metrics. Designed a custom agent orchestrator with bounded loops/termination conditions and a self-auditing verification/reflection layer to reduce hallucinations while controlling latency and cost via caching and model distillation.”