Vetted Cross-Functional Collaboration Professionals

Mark Wlodawski

Screened

Senior Unity Developer specializing in AI/LLM systems and multiplayer VR

Orlando, FL11y exp

“Backend/data engineer focused on AWS-native Python systems: built a FastAPI microservice on ECS/Fargate serving real-time analytics at millions of daily requests with strong reliability (OAuth2/JWT, retries/timeouts, correlation IDs) and autoscaling. Also delivered Glue/PySpark ETL pipelines to curated S3 Parquet/Athena with schema evolution + data quality controls, owned Airflow pipeline incidents, and has a track record of measurable performance and cost optimizations (e.g., ~80%+ query latency reduction; reduced logging/NAT/Fargate spend).”

“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”

“Lifecycle/CRM marketer from Churchome who led a mobile app onboarding and re-engagement program using behavior-based segmentation, in-app/push messaging, and AI-assisted chat. Drove ~20% lift in early-stage engagement, improved 30-day retention, and reduced support load through automated chat flows and rapid A/B-driven iteration.”

“Operations-focused analytics candidate with hands-on experience turning messy production and QA data into clean reporting tables using SQL and Python. They have built repeatable Excel-based KPI workflows, defined practical manufacturing performance metrics, and used machine/shift segmentation plus stakeholder-friendly dashboards to reduce defects and improve production efficiency.”

“Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.”

“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”

“Frontend engineer who led a React/TypeScript real-time live-streaming web platform end-to-end, including interactive chat, live polling, and monetization (subscriptions/tipping via Authorize.Net). Built a scalable component system (Tailwind + Storybook) and handled complex real-time state with optimistic UI patterns across WebSocket and server-validated events, collaborating closely with product/design (Figma) and QA in an agile release cadence.”

“Business development leader from PDD (product design & innovation consultancy) with high-functioning Chief of Staff/EA-style experience coordinating six business owners and ~20 multi-region designers. Led annual conference/event strategy and logistics (budgets, travel/visas, speaking/booths) and implemented productivity systems like CRM migration, standardized calendar/email protocols, and time-blocking to speed reporting and decision-making.”

“Early-career candidate with hands-on B2B SaaS and GTM exposure through a Cloudera internship, where they led a multi-vendor evaluation process and influenced the final software selection. They pair analytical research and dashboarding with strong external communication, and also drove campus partnerships and a 30% social engagement lift as a Princeton Review ambassador.”

“Outbound sales candidate with a thoughtful, process-driven approach to prospecting, combining cold calling, email, and LinkedIn into coordinated campaigns. Stands out for using account research, stakeholder mapping, and messaging experiments to improve response rates and book qualified meetings with director- and VP-level buyers.”

Gibran Rodriguez

Screened

Director-level Engineering Leader specializing in cloud, AI, and healthcare platforms

Round Rock, TX16y exp

“Senior engineering leader with a rare mix of org-scaling and deep hands-on technical execution across cloud platforms, AI/RAG systems, IoT, mobile, and operational software. Has led zero-downtime migrations, improved deployment velocity by 50%+, and built DataFabriks from an internal warehouse AI platform into a multi-tenant commercial SaaS product across healthcare and industrial environments.”

Katie Sullivan

Screened

Senior Product Manager specializing in K-12 EdTech SaaS and AI

Houston, TX13y exp

“Edtech product leader with hands-on experience building from zero to MVP, pivoting based on user research, and shipping both AI tutoring and content recommendation products. They combine strong human-centered AI judgment with practical execution across K-12 learning workflows, global hardware/software collaboration, and team leadership.”

“Global HRS Process Manager focused on talent/recruiting operations who led a Jobvite ATS implementation and broader talent platform integrations. Known for redesigning req approval and interview workflows—cutting interview rounds to three and reducing approval layers—resulting in a 30% reduction in time-to-fill, while also building executive-ready recruiting dashboards for finance and leadership.”