Vetted Workflow Automation Professionals

“Software engineer with robotics and data-platform experience from CVS Health, spanning Java/Spring Boot microservices, secure APIs, React dashboards, and Snowflake/SSIS ETL optimization. Hands-on ROS 2 developer who built real-time LiDAR obstacle-detection nodes, improved SLAM performance, and coordinated multi-robot communication using DDS, with simulation/testing via Gazebo and CI/CD deployments using Docker and Jenkins.”

“Backend engineer with health-tech AI platform experience who designed a modular FastAPI/PostgreSQL architecture supporting real-time user data and swap-in AI workflows. Has hands-on production experience with observability (CloudWatch, structured logging, LangSmith/LangGraph/LangChain tracing), secure auth (OAuth2/JWT, RBAC, RLS), and careful data-pipeline migrations using parallel runs and rollback planning.”

“Strategic sales and partnerships professional (Adaptavist/Atlassian partner ecosystem) who closed and expanded an enterprise integration partnership with NASDAQ around a custom monday.com integration. Strong in partner-led GTM and activation loops, leveraging warm networks to accelerate sales cycles and using experimentation to improve demo attendance, qualification, and forecast accuracy (including $110K USD closed-won from pipeline).”

“GenAI/NLP engineer with experience building classification and summarization pipelines in PyTorch and deploying multimodal GPT-4-style workflows. Has integrated LLM applications across OpenAI, Azure OpenAI, and Amazon Bedrock, and uses LangChain/LlamaIndex/Semantic Kernel to orchestrate RAG and agent workflows with production-focused evaluation metrics like task success rate and groundedness.”

“Product-focused full-stack engineer (Spring Boot/Django + React/TypeScript) with deep experience building multi-tenant, enterprise workflow and supply-chain/order-tracking systems. Owned an end-to-end Workflow SLA Breach Prediction & Alerting feature integrating Azure ML for a cloud workflow platform used by ~10,000 enterprise users, and has hands-on AWS operations experience resolving real production latency/scaling incidents via query optimization and Redis caching.”

“ML/MLOps practitioner from Discover Financial who built and deployed a real-time AI fraud detection platform (LSTM + VAE) on AWS SageMaker with Docker/FastAPI and Jenkins-driven CI/CD. Demonstrated measurable impact (30% accuracy lift, 25% fewer false alerts) and deep expertise in class-imbalance mitigation, drift monitoring, and orchestration (Airflow/Kubeflow), plus strong stakeholder adoption via Power BI dashboards for fraud/compliance teams.”

“Full-stack developer with strong cloud/on-prem focus (AWS, VPC networking) who has improved production reliability by bringing manually created IAM/security group resources under Terraform and standardizing environments. Demonstrated end-to-end troubleshooting across app + infrastructure + networking (traffic capture revealed proxy response truncation) and delivered Python-based monitoring/reporting enhancements that improved ops visibility and turnaround.”

“Client Service Associate at GuidePoint (expert network) supporting hedge fund/client research by sourcing and vetting industry experts via warm calls and multi-channel outreach (LinkedIn, email, phone, text), then scheduling and connecting experts to clients. Previously interned at Aramark where he improved cross-team coordination by introducing structured communication (e.g., morning meetings) and uses AI/automation to speed up day-to-day workflow.”

“Application-focused full-stack engineer in the clinical/health domain who shipped an LLM-powered clinical note summarization workflow end-to-end (FastAPI + Postgres + Kafka workers + React/TypeScript UI) with strong attention to security, auditability, and clinician trust. Has hands-on AWS/EKS operations experience and has resolved real production latency/scaling issues through async processing, query/index tuning, caching, and horizontal scaling.”

“UE5 gameplay scripter/system designer with shipped experience on Killing Floor 3, owning Blueprint-driven destruction/physics props and trap features end-to-end, including replication, performance optimization, and QA workflows. Also built a one-click light auto-generation tool on Maneater that reportedly saved the lighting team hundreds of hours, and uses fast test-map prototyping to validate mechanics (e.g., movement systems on Salem).”

“Has worked at a startup within an incubator program and is a certified mentor with a startup mentorship non-profit focused on early-stage/pre-funded companies. Not currently seeking to found a company or take equity-only roles, but open to working at very early-stage companies (pre-launch/pre-revenue/pre-funded).”

“Built and monetized an object-identification app end-to-end (FastAPI backend, HTML/JS frontend, SQLite→Postgres, auth, and an iOS wrapper via Capacitor/Xcode with Apple privacy/policy compliance). Also productionized an AI-native geospatial metadata/QA assistant using LLM+RAG plus deterministic Python validation, measuring impact via time-to-first-pass review and rework rate, and has experience modernizing legacy GIS workflows and delivering across USDA/FEMA-style teams with disciplined Jira-based execution.”

“Operations/people leader with strong analytics orientation who has led large multi-site teams and built KPI dashboards to drive measurable performance gains. Notably improved a high-volume intake process at NYCHHC by ~20% through real-time throughput/wait-time tracking and workflow standardization, and partnered with senior leaders at Amalgamated Bank to lift engagement by 15%.”

“Technical/product lead at Albanero (acquired by Infor in 2024; now at Infor) who built a Data Mesh-focused “Governance as a Product” module from early persona-based policies through a highly configurable multi-ERP governance platform (MDM, multi-source mastering, match/merge, automated review workflows). Also troubleshoots agentic/LLM workflows in production using auditability, guardrails, monitoring, and real-time validation—fixing a P0 false-positive security flagging issue and contributing to significant deal/adoption growth (~50%) after V2 launch.”

“Marketing creative/design lead with a finance background who blends high-polish craft with scalable systems and automation. Led typography/visual narrative for an AI-developed short film using Firefly/Midjourney that won Gold at the NY Festivals AI Short Film Contest, and owned visual standards plus Flexitive-driven high-volume production workflows for Sherwin-Williams across digital/social/print.”

“Brand/marketing designer who led a modern, high-end credit/rewards card launch—owning visual identity, brand guidelines, and a full suite of digital assets (social/email/web) with reusable templates. Also built scalable Figma design-system foundations for a SaaS company and set up CapCut-based video templates/workflows to quickly adapt trade-show content across placements (Stories, YouTube 16:9) in a remote, cross-functional environment.”

“Growth/creative marketer with experience running end-to-end campaigns for a nonprofit (holiday giving via email) and optimizing app acquisition creative across major platforms (Meta/TikTok/YouTube). Emphasizes structured experimentation, dashboard-driven iteration, and building scalable processes (templates) while training creative teams on performance-oriented ad best practices.”

“Product-focused candidate with live B2C/product-led growth experience who translates free-to-play game mechanics (onboarding as a core loop, progressive unlocking, nudges, variable rewards) into real-world web/mobile products. Strong in live experimentation, KPI-driven iteration, and monetization/retention measurement (DAU/MAU, funnels, LTV-focused A/B testing).”