Vetted Workflow Automation Professionals

Ryan O'Keefe

Screened

Director-level Product Leader specializing in AI-driven SaaS, EdTech, and FinTech

Austin, TX13y exp

“Product leader with 6 years of hiring and management experience who has driven major edtech and mobile product transformations, including a full mobile app rebuild launched in 2 months and an AI-powered content aggregation feature shipped from prototype in 2 weeks. Has worked at OnlineMedEd and Zogo, with a strong track record in personalization, rapid MVP execution, and human-centered AI that supports learning and coaching rather than replacing it.”

“Built and deployed an LLM-powered financial/regulatory document analysis platform at State Street, combining fine-tuned transformer models with a RAG pipeline over internal knowledge bases. Owned the productionization stack (FastAPI, Docker, SageMaker, Terraform, CI/CD) plus monitoring for drift/latency/hallucinations, delivering ~40% faster analyst review and improved reliability through chunking/embeddings and grounding.”

“Recruiting Operations leader with 10 years across transportation, staffing, and tech, managing teams up to 40 in both remote-first and onsite settings. Known for rebuilding end-to-end recruiting workflows (interviewing, pay equity/salary transparency, onboarding automation) and delivering measurable outcomes including 140% revenue growth, plus strong ATS analytics and HRIS/LMS implementation experience (Workable, SmartRecruiters, Paycom, Litmos).”

“At CVS Health, the candidate productionized a RAG-based LLM solution in a regulated healthcare setting, emphasizing reliable data pipelines, LoRA fine-tuning, monitoring, safety guardrails, and A/B testing. They have hands-on experience troubleshooting real-time RAG failures (e.g., chunking/embedding issues) and regularly lead developer-focused demos/workshops while translating technical architecture into business value for stakeholders.”

“Research Assistant at the University of Houston who built and live-deployed a production RAG system for 1000+ research documents, using hybrid retrieval (dense+BM25+RRF) with cross-encoder reranking and RAGAS-based evaluation; reported 66% MRR, 0.85+ faithfulness, and 68% lower LLM inference costs. Also built a deployed LangGraph multi-agent research system (Researcher/Critic/Writer) with tool integrations (Tavily, arXiv) and dual memory (ChromaDB + Neo4j), plus freelance automation work delivering a WhatsApp chatbot and n8n workflows for a wholesale clothing business.”

Kristen Giovanis

Screened

Executive operator and board advisor specializing in scaling PE-backed and founder-led services firms

Minneapolis, MN30y exp

“Former CEO of a rapidly scaling, PE-backed company (ULG) who rebuilt the operating model and unified fragmented systems after acquisition-driven growth. Implemented EOS and led phased deployments of NetSuite, Salesforce, Monday.com, and Power BI to create a connected, data-driven organization, with strong change-management and executive coaching experience.”

Michael Chaves

Screened

Senior Creative Technologist & Full-Stack UX Engineer specializing in Generative AI and XR

Los Altos, CA12y exp

“Design engineer/product designer who built an end-to-end creator + review/moderation system for a UGC platform, spanning automated checks, human QA, final review, and creator feedback. Comfortable working directly with HTML/CSS/TypeScript and component systems, using prototyping and field observation to reduce reviewer hesitation, improve consistency, and prevent creator errors upstream.”

Gabriel Hatewa

Screened

Senior Customer Success Engineer specializing in SaaS and FinTech client solutions

San Francisco, CA8y exp

“AppSec-focused customer-facing practitioner with Worldpay experience advising clients on fraud reduction via stronger transaction validation and monitoring, translating technical controls into quantified business risk to secure buy-in. Has quickly learned and supported SonarQube in production by integrating it into CI/CD and guiding remediation, and has implemented security integrations in Kubernetes with secrets management and observability while resolving RBAC/network policy issues.”

Deandra House

Screened

Director-level Talent Acquisition leader specializing in global recruiting operations

Plano, Texas19y exp

“Talent/Recruiting Operations leader who has managed 6–20 person TA Ops teams and led a global "Recruiting 2.0" transformation standardizing intake and structured interviews, automating screening/scheduling, and building Power BI funnel dashboards. Delivered measurable impact including ~30% time-to-fill reduction and improved candidate/hiring manager experience, and has hands-on systems implementation experience across Workday Recruiting, SuccessFactors, Eightfold, DocuSign, and background check integrations.”

Brandon Call

Screened

Executive Talent Acquisition & People Operations leader specializing in global recruiting and HR tech

20y exp

“Global Talent Acquisition/Recruiting Operations leader who has scaled and standardized end-to-end recruiting across regions and large teams (5–95), including major ATS/HCM implementations (Workday, Lever, Greenhouse, BambooHR). Known for rebuilding “Frankenstein” recruiting orgs into measurable operating models—cutting time-to-fill 28%, improving forecast accuracy to 5–10% variance, and boosting hiring manager satisfaction by 30+ points—while building offshore sourcing capability (South Africa delivering 55–60% of early funnel).”

“Serial founder with experience across both bootstrapped and venture-backed startups, including scaling Aloa past $1M in first-year revenue and raising $1.3M for Bracketology, a fantasy gaming platform for reality TV now in sale process. Combines sales, marketing, product, automation, and AI implementation experience, with exposure to WeFunder, Newchip, and 1871 as both participant and mentor.”

“Healthcare analytics professional with TCS/Humana experience turning messy claims and eligibility data into reliable reporting assets using SQL and Python. They combine strong data engineering and analytics execution with stakeholder management, including automating monthly claims reporting from half a day to under 5 minutes and driving a provider outreach effort that reduced claim rejection rates by about 20%.”

Upal Kundu

Screened

Junior Security Engineer specializing in cloud security and DevSecOps

Fort Worth, TX3y exp

“Candidate has hands-on experience building and debugging cloud-based backend workflows across AWS and GCP, including a remote desktop deployment for HP, email-to-Google-Sheets automation, and AI/voice backend testing. They stand out for practical infrastructure troubleshooting, API integration work, and lightweight LLM application development with attention to latency, cost, and operational stability.”

Praveen LAKSHMAN

Screened

Mid-level Software Engineer specializing in backend systems and workflow automation

Birmingham, AL4y exp

“Early-career AI engineer currently pursuing a Master's, with hands-on experience building and improving RAG pipelines using LangChain. They stand out for moving beyond naive retrieval into multi-step retrieval and feedback-loop designs to reduce hallucinations, and are now exploring multi-agent systems with distinct retrieval, coding, and validation roles.”

Ashton Kapoor

Screened

Intern-level business analyst specializing in finance, sales, and healthcare technology

Atlanta, GA2y exp

“Sales-focused candidate with unusually broad outbound experience spanning private equity deal sourcing, merchant funding, and apartment leasing. As a student at Kalico Capital, he led a small outreach team, used PrivCo-based financial screening to target SMB/MM companies, and opened 90+ business relationships while connecting senior decision-makers to PE partners.”

“Boston-based functional/implementation consultant with end-to-end experience delivering enterprise SaaS platforms across ERP, permitting/licensing, finance/reporting, workflow automation, and public transit operations. Notably implemented an EAM solution for the Massachusetts Bay Transportation Authority, translating a 72-question paper vehicle circle check into 8 key pass/fail areas through direct collaboration with drivers and operators.”

“Full-stack and AI product engineer with strong AWS/Snowflake experience who built an internal feature flag platform and helped migrate a cybersecurity insights product into a multi-agent AI chat interface. They report production scale of 1M+ embeddings and 50k+ monthly queries, with outcomes including an 80% reduction in analyst work and dashboard generation in 7 minutes; the work was also featured by Claude and AWS.”

“Full-stack and AI-focused builder who has shipped both customer-facing personalization at AT&T and internal LLM-powered automation/agent systems in startup environments. Stands out for combining TypeScript-heavy engineering rigor with practical AI orchestration, evaluation, and measurable business impact—from reducing support escalation through personalization to saving 10-11 hours per week by automating fragmented operational workflows.”

Shreya Kamath

Screened

Junior Full-Stack Engineer specializing in AI-powered web platforms

San Francisco, CA2y exp

“Full-stack engineer with a strong blend of fintech and applied AI experience, having built a Stripe-based payments platform end to end and shipped an AI meeting intelligence system using LiveKit, Deepgram, and OpenAI. Particularly compelling for teams needing someone who can design reliable backend systems, productionize LLM features, and operate effectively in early-stage, ambiguous environments.”

“Value-added services leader at América Móvil (Claro Peru) who launched and scaled a gaming app through telco distribution, using revenue-share partnerships and multi-channel GTM (SMS, app notifications, retail/distributors). Strong in data-driven segmentation and continuous optimization of acquisition/engagement loops, with success measured via activations, usage/retention, and incremental revenue.”

“Frontend engineer in an insurance SaaS white-label environment who transformed a fragmented ecosystem of 100+ duplicated React repos into a scalable platform using versioned NPM libraries (CommonWeb/WorkflowWeb). Built a JSON-driven, multi-step quote and payment workflow in React+TypeScript with Redux-Saga for complex async orchestration and reliability (idempotency, retries, takeLatest). Delivered measurable impact: 35% bundle reduction, onboarding cut from weeks to days, and bug fixes propagated across clients in hours.”

“ML/NLP practitioner focused on financial-services document intelligence and compliance workflows—built an end-to-end pipeline to classify documents and extract financial entities from loan applications, emails, and statements stored in S3/internal databases. Strong in entity resolution/record linkage and in productionizing pipelines with GitHub Actions CI/CD, testing, data validation, and Docker, plus semantic search using OpenAI embeddings and a vector database.”

“AppSec-focused engineer from Kaiser Permanente who advises on authentication/API security, performs lightweight threat modeling, and integrates SAST + dependency scanning into CI/CD while actively reducing false positives to improve release speed. Demonstrated strong troubleshooting using logs/traces/metrics (e.g., diagnosing auth failures caused by clock skew) and communicates security tradeoffs differently for engineering vs product stakeholders.”

“Software engineer with experience at Freddie Mac shipping a production workflow tracking and daily summary dashboard that replaced spreadsheet/email-based operational processes. Worked across frontend (React/JavaScript), backend (Java), Oracle relational data, and CI/CD, with emphasis on stakeholder collaboration and post-deploy testing/monitoring/performance tuning.”