Vetted Workflow Automation Professionals

“Full-stack engineer who has owned an AI-powered HTTP monitoring dashboard end to end, from Node.js/MongoDB backend and dashboard UI through deployment and reliability controls. Particularly strong in turning raw technical signals into usable AI-assisted product experiences, with concrete impact including ~60% faster anomaly detection and meaningful AI cost optimization.”

“Candidate has built multiple zero-to-one AI/full-stack products spanning bioinformatics search, rental marketplace semantic search, and an SDR agent for a hospitality startup. Particularly strong at turning LLM/embedding concepts into usable products with modular workflows, explainable outputs, and production-minded infrastructure.”

“AI product leader working at TAU Ventures Innovation Lab and previously at Verint and NYSHEX, with a track record of turning legacy and ambiguous AI opportunities into shippable, human-centered products. Notably led Verint’s evolution into a low-code AI orchestration platform with 20+ capabilities and measurable gains in CSAT, handle time, and recurring revenue, while consistently emphasizing trust, workflow fit, and human-in-the-loop design.”

Abhinita Sanabada

Screened

Senior Software Engineer specializing in AI/ML systems and FinTech platforms

San Jose, CA9y exp

“Master’s student in Data Science at San Jose State University with prior software engineering experience at JPMorgan Chase and Zap Labs. She combines enterprise backend reliability work in financial systems with hands-on full-stack AI workflow projects, including a recruiting automation system built with React/Next.js, FastAPI/Node, Kafka, and WebSockets, with a strong emphasis on observability, human-in-the-loop controls, and maintainability.”

“Full-stack engineer with healthcare and financial services experience who owned an end-to-end appointment scheduling feature at Norton Healthcare, improving scheduling speed and reliability through Angular/TypeScript, SQL Server, Entity Framework Core, Redis caching, and secure APIs. Also brings enterprise modernization experience from IBM and JPMorgan Chase, including microservices migration, CI/CD, and production observability.”

Ben Ayed

Screened

Executive product leader specializing in AI, security, and connected devices

Fremont, CA22y exp

“Product leader with hands-on experience building and scaling a production Voice AI Assistant for automotive dealerships, combining LLMs, speech technologies, workflow orchestration, and system integrations. Stands out for balancing AI capability with trust, UX, and operational ROI—shipping a system that answered over 90% of incoming calls while improving conversion, reducing workload, and augmenting rather than replacing human staff.”

Scott Mangino

Screened

Executive product leader specializing in SaaS and consumer mobile platforms

Denver, CO14y exp

“Product leader who blends strategy, UX, and hands-on building—designing in Figma, using Claude Code to prototype and push PRs, and partnering closely with engineering to ship faster. Led the Travel Noire app from content brand extension to AI-enabled travel companion, and independently built human-centered AI workflows for grassroots volunteer management. Particularly strong in trust-based, assistive AI products that amplify human relationships rather than replace them.”

“Solutions engineering and technical consulting leader with experience across healthcare logistics, transportation SaaS, analytics, and HR interoperability. Stands out for deep integration and security expertise—spanning APIs, EDI, HL7/FHIR, SSO/SAML, and enterprise architecture—and for using customer-specific POVs and automation initiatives to drive adoption and measurable operational impact.”

“Software engineer with a recent pivot toward AI engineering, combining traditional full-stack web development with multi-agent AI application work using React, Flask, LangChain, and LangGraph. Has experience improving internal platform integrations, scaling production systems, and building revenue-impacting features such as an order tracking module credited with a 20% revenue increase.”

“Product-oriented startup operator with hands-on AI experience across chatbot UX, PRDs, and technical RAG pipeline design. They’ve worked across early-stage builds and portfolio-company product strategy, including improving engagement by 46% on an internal AI product through better workflows, content pipelines, and analytics-driven iteration.”

Keerthana Kondabathini

Screened

Senior Full-Stack Engineer specializing in healthcare and financial platforms

5y exp

“Software engineer with experience spanning healthcare platforms at UnitedHealth Group/Optum and B2B SaaS systems at Zoho. Has worked on a startup-like internal product for intelligent medical document processing using microservices on Azure, while also building React dashboards, backend APIs, and Python automation to support clinical and business operations.”

Kristina Andrews

Screened

Senior Technical Recruiter specializing in FinTech and enterprise technology hiring

Atlanta, GA20y exp

“Recruiter with extensive experience in high-volume, fast-changing environments, managing 70+ requisitions while owning full-desk searches from intake through onboarding. Stands out for combining process discipline, stakeholder coaching, and data-backed compensation advocacy, including building manual Excel tracking systems when ATS and reporting tools were insufficient.”

Tiffany Square

Screened

Director-level Creative Producer specializing in global brand partnerships and operations

Los Angeles, CA12y exp

“Operator from the fashion and creative industries who supported Nicola Formichetti across a creative agency, clothing brand, and personal business portfolio. Grew from EA/Office Manager into a Chief of Staff / Client Director-type role, building operating structure, leading campaigns, negotiating budgets, and managing multi-million-dollar productions in a high-growth, multi-stakeholder environment.”

“Senior product leader with deep payroll/HCM experience across ResNav, Paycom, Paylocity, and Namely, known for rebuilding broken systems, creating product process from scratch, and influencing boards and executives on major platform decisions. She combines hands-on prototyping, strong engineering partnership, and customer-driven iteration, with examples ranging from an ML-based approvals workflow that reached 100% client opt-in to stabilizing a troubled time-off platform and reducing churn risk among major revenue clients.”