Vetted Workflow Automation Professionals

Nadia Elinbabi

Screened

Senior Product and Systems Design Leader specializing in AI-enabled enterprise workflows

Charlotte, NC18y exp

“Former UX designer with 12 years in design who moved into product management and now leads complex AI-enabled retail experiences. Most notably, they championed Competitive Quote from an overlooked Hack Day prototype into a major initiative later valued at $300M over three years, combining strong product strategy, agentic UX thinking, and deep practical understanding of human-in-the-loop AI systems.”

John Patton

Screened

Executive Atlassian and Agile transformation leader specializing in AI-enabled enterprise collaboration

Aberdeen, NJ6y exp

“Product leader with hands-on experience modernizing enterprise internal tooling and shipping AI-enabled support workflows. At Peloton, they led the end-to-end migration of Jira, Confluence, and JSM from on-prem Data Center to cloud; at Atlas Vega, they implemented a RAG-based Slack/JSM support assistant with strong governance, data hygiene, and measurable support outcomes.”

“Full-stack engineer with deep experience building enterprise compliance and certification systems at Paycom, including complex approval workflows, live migrations, and large-scale assignment processing. Particularly strong at turning ambiguous business rules into reliable backend workflow logic and at designing trustworthy GraphQL/AI-assisted user experiences backed by real-time system data.”

“Product leader with 20 years of experience across startups and agencies, including leading the end-to-end rebuild of Filmik, an AI-enabled workflow platform for film and television production teams. Stands out for combining deep UX simplification instincts with human-centered AI thinking, using automation to reduce friction while preserving trust, control, and collaboration. Has also built and mentored globally distributed product, design, engineering, and delivery teams across multiple regions.”

“Full-stack product engineer who has built both operational systems and enterprise AI copilots in production. They owned an AI-powered inventory platform end-to-end, driving a 45% drop in stock issues, and also shipped a Microsoft Teams-based HR/IT copilot using RAG and workflow automation that reduced repetitive support queries by roughly 30%.”

“Platform/DevSecOps engineer who combines full-stack product ownership with practical LLM systems in production. They built a self-service secrets management portal that reduced DevOps bottlenecks while maintaining compliance, and shipped AI-powered deployment debugging and security-remediation workflows with strong guardrails, monitoring, and human-in-the-loop controls.”

“Space/heliophysics ML engineer who built a PyTorch GRU model to propagate solar wind from L1 to the magnetopause with probabilistic outputs for uncertainty quantification, achieving ~25% better CRPS than standard approaches. Also developed production-grade Python ETL and an open-source telemetry processing package for a mission (LEXI), using Docker and GitHub Actions CI/CD and iterating with scientist/engineer stakeholders.”

“At Dreamline AI, built and productionized an AWS-based incentive intelligence platform that uses Llama-2/GPT-4 to extract eligibility rules from unstructured state policy documents into structured JSON, then processes them with Glue/PySpark and serves results via Lambda/SageMaker/API Gateway. Designed state-specific ingestion connectors plus schema validation and automated checks/alerts to handle frequent policy/format changes without breaking the pipeline, and partnered with business/analytics stakeholders to deliver interpretable eligibility decisions via explanations and dashboards.”

“Enterprise healthcare GTM/CS leader who owned large accounts end-to-end (sales through renewal), including scaling a hospital network rollout to 51 of 52 facilities in ~3 months. Built an automated customer-feedback and response system (“Schism”) using n8n + ChatGPT that cut CS workload by ~50% and informed product priorities, and has experience driving cross-functional EHR-related deployments and GTM analytics (Metabase/Snowflake/Firebase).”

“Built and shipped a production LLM-powered agent that automated purchasing and inventory operations by integrating with live ERP data and returning structured, machine-readable outputs usable by downstream systems. Emphasizes real-world reliability through orchestration, strict schemas/validation, confidence-based fallbacks with human handoff, and monitoring/evaluation feedback loops to reduce silent failures and make issues observable.”

Prateek Pravanjan

Screened

Junior Machine Learning Engineer specializing in LLM evaluation and GenAI pipelines

Remote1y exp

“LLM/agent engineer who built a production LangGraph multi-agent orchestrator connecting GitHub and APM/observability signals with a chain-of-verification loop for root-cause analysis. Emphasizes pragmatic architecture (start simple with state summaries), performance tuning (async LLM calls, Docker), and rigorous evaluation (LLM-as-judge, adversarial testing, hallucination/instruction adherence metrics, tool-call tracing) while iterating with non-technical stakeholders via A/B testing.”

Sujith Julakanti

Screened

Junior MLOps Engineer specializing in LLMs and cloud infrastructure

College Station, TX3y exp

“Built a production multimodal LLM system (Gemini on GCP) to automate behavioral coding of family-involved science experiment videos, including preprocessing for inconsistent lighting/audio and LangGraph-orchestrated parallel workflows. Also developed rubric-based AI grading workflows and partnered closely with non-technical education stakeholders through explainability-focused walkthroughs and manual-vs-AI evaluation alignment.”

Poorna Vishnu

Screened

Mid-level AI Engineer specializing in LLM workflows and agent-based systems

Texas City, TX4y exp

“LLM/agent workflow engineer with production experience at T-Mobile, focused on scalable agent architecture and robust real-time evaluation/monitoring pipelines. Partnered closely with marketing and product to automate customer engagement and other business workflows, translating AI capabilities into measurable KPI impact via dashboards and continuous performance tracking.”

“Former founding engineer and eventual CTO at 2Plus2 Partners (25 years ago) with additional experience in two private-equity-backed companies (apex analytix and HICX). Interested in helping build another company before retirement; comfortable with entrepreneurial risk but cannot self-fund significant capital.”

Vishal Kodakanchi

Screened

Director of AI Platforms & Architecture specializing in enterprise GenAI and AI Centers of Excellence

Mountain View, CA20y exp

“Software industry veteran (20 years) pursuing entrepreneurship; currently building an MVP software product aimed at solving specific finance and accounting problems for nano, micro, and small enterprises. Plans to run a metrics-driven pilot to validate demand before refining the product and raising capital; leveraging Google for Startups and exploring AWS for Startups.”

Christopher Schmitt

Screened

Executive Technology Leader specializing in FinTech & SaaS platforms

Atlanta, GA29y exp

“Startup-oriented technology leader with 13 years in early-stage environments, including serving as CTO through Series A and Series B fundraising. Has direct experience presenting to investors and a board of advisors, and is especially motivated by taking products from idea to first sale and scaling them into real businesses.”

“Healthcare-focused data analyst with hands-on experience at Molina Healthcare building SQL and Python workflows for retention and churn analytics. They combined enrollment, CRM, and claims data into Power BI reporting, automated predictive churn analysis, and tied their work to measurable outcomes including faster processing, better reporting accuracy, and reduced churn.”

“Enterprise NetSuite Financials professional with hands-on ownership of GL configuration, month-end close, reporting, and production support in a multi-subsidiary environment at Bank of America. Particularly strong in stabilizing finance operations under deadline pressure, improving close efficiency, and building audit-ready reporting and controls across NetSuite and integrated systems.”

Neda Bokhari

Screened

Entry-level AI product and data professional specializing in workflow automation

San Francisco, CA1y exp

“Early-stage go-to-market candidate at Retroshift who has owned outreach across users, investors, and prospective clients in a zero-to-one environment. They’ve helped onboard 20+ alpha users and pushed the company into 3+ accelerator interview processes, showing strong traction-building ability through scrappy, multi-channel outbound.”

Rami Jaloudi

Screened

Senior Applications Engineer specializing in legal technology and eDiscovery

New York, NY16y exp

“Early-stage founder candidate exploring an AI-enabled legal tech startup focused on document intelligence, secure workflows, and enterprise automation. Brings a rare blend of technical architecture fluency and product/business thinking, with clear firsthand insight into legal and document-heavy operational pain points.”

“Built and deployed an agentic RAG assistant in production to automate enterprise knowledge search and multi-step workflows with tool calling, tackling real-world issues like hallucinations, retrieval accuracy, and latency. Demonstrates strong LLMOps and orchestration depth (MLflow, Airflow, LangGraph/LangChain/LlamaIndex) plus a metrics-driven approach to agent testing/evaluation and cross-functional delivery with business stakeholders.”

“Growth-stage startup engineer with strong end-to-end ownership across React, Java/Spring Boot, MySQL, and cloud deployment. They led workflow automation products that replaced manual operational processes, improved efficiency and reliability, and evolved the platform into a more configurable B2B workflow system shaped by user feedback.”

Rishabh Goyal

Screened

Mid-level Software Engineer specializing in backend microservices and FinTech

USA4y exp

“Python backend engineer focused on real-time e-commerce analytics systems, building FastAPI + Kafka microservices with strong idempotent processing patterns (Postgres upserts, manual offsets, Redis caching). Has hands-on Kubernetes (EKS) and GitOps delivery with Argo CD/GitHub Actions, plus experience migrating containerized services from on-prem VMs to AWS using Terraform and blue-green cutovers.”

Kal Yimer

Screened

Mid-level Java Application Engineer specializing in FinTech backend systems

Silver Spring, MD3y exp

“Banking-focused software engineer with hands-on experience modernizing legacy systems and building internal full-stack applications using Java, Spring Boot, React, SQL, and MongoDB. Stands out for reliability-minded engineering in financial environments, including a scheduling system that handled Daylight Saving Time correctly, reduced manual work, and protected downstream processing.”