Vetted Mentoring Professionals

Stephen Pappachen

Screened

Director-level physician consultant specializing in clinical operations and healthcare administration

Lakeland, FL31y exp

“Clinician and former Center Medical Director with experience building operations from the ground up across OB/GYN practice and plasma donation settings. Brings a distinctive blend of clinical oversight, quality improvement, safety-focused implementation support, and protocol/algorithm authoring, especially in regulated healthcare environments.”

Steven Fritsch

Screened

Principal Product Manager specializing in AI and document intelligence

New York, NY12y exp

“Enterprise product leader with significant experience turning AI experiments into scalable, workflow-native capabilities at Datasite, especially in high-stakes M&A environments. Stands out for combining strong AI product strategy with nuanced UX judgment, emphasizing trust, transparency, and human-in-the-loop design over flashy automation.”

“Lead full stack Java developer with deep experience building compliance-sensitive government financial systems, including payment distribution, escrow hold management, reallocations, and disbursement workflows. Stands out for combining Angular/React frontend work with Spring Boot, Oracle SQL/PL-SQL, and batch/JMS architecture to stabilize high-volume transaction systems, automate manual workflows, and reduce production support issues.”

“Front-end developer with experience spanning agency, product, and brand-driven web work, including Just Eat and SEO-focused client projects. Particularly strong in building multi-brand, config-driven booking flows, improving conversion with analytics, and modernizing legacy sites with cleaner CMS and TypeScript/React-based approaches.”

“Backend/microservices engineer (Java/Spring Boot, Kafka, Angular microfrontends) with Teradata experience building distributed analytics/query routing platforms and delivering 20–30% latency reductions through event-driven redesign and reliability hardening. Also built and shipped an end-to-end multimodal medical imaging AI feature (LLaVA/Mistral 7B + LoRA) with production guardrails like confidence-based human review, drift monitoring, and audit logs.”

“Software engineer/product owner who has led end-to-end delivery of AI and content-management platforms, including building RAG-based reliability improvements and migrating fragile systems to containerized AWS ECS/Kubernetes with Terraform-managed CI/CD. Experienced designing event-driven microservices (SQS/SNS/RabbitMQ), scaling queue consumers with autoscaling, and creating internal Python tooling to standardize data connectors (e.g., BigQuery/Airtable/internal APIs) to speed iteration.”

“Senior Unity UI/UX developer who led XR interaction design for a VR meetings/events platform (VRChat/Horizons-like), including a modular radial menu that served as the app’s primary control system. Also built a Pokemon Go-style Unity AR experience for a major shopping centre end-to-end, tackling real-world marker scanning challenges (lighting, reflections, installation) through iterative prototyping and testing.”

“HRBP leader in a startup environment with experience supporting global teams and driving org change through structured communication and ADKAR-based change management. Built an analytics-focused function to mature data-driven decision-making, and created a role expectations playbook that later shaped onboarding and reduced role-related performance issues for newly promoted senior staff.”

“Engineering/IT leader with 12+ years of people management and deep ERP ecosystem experience, including SAP S/4HANA and large-scale integrations (APIs/EDI/e-commerce). Managed an 11-person cross-functional team supporting multiple business domains and led process improvements like support-cycle/ticketing and documentation, plus regression test automation strategy driven by business-critical prioritization.”

“Full-stack engineer focused on productionizing LLM applications, including an Android privacy-policy risk summarization app (Kotlin/React Native + FastAPI + Ollama) that cut response times from ~10s to ~5–6s via batching, caching, async, and event-driven architecture. Currently at PRGX building an LLM-based legal contract clause extraction system, partnering closely with legal/procurement SMEs to create schemas, labeled datasets, and evaluation pipelines that improved accuracy from 70% to 85%. Also has experience architecting real-time voice/LLM systems with streaming microservices (Kafka, Kubernetes, gRPC/WebSockets) and an avatar chatbot pipeline (TalkingHead, Google TTS, AnythingLLM).”

“AI/ML Engineer with 4+ years of experience (Capital One, Odin Technologies) and a master’s in Data Analytics (4.0 GPA) who has deployed LLM/RAG systems to production for compliance/risk and document review. Strong in orchestration and MLOps (Airflow, Kubernetes, MLflow, GitHub Actions) and in tackling real-world LLM constraints like latency, context limits, and data privacy, with measurable impact (20%+ manual review reduction; 33% faster release cycles).”

“Insurance sales professional delivering high-volume results (60+ closes in the past month) with a 63% conversion rate. Relies on marketing-generated leads and a consultative needs-analysis process, using tie-backs and assumptive closing to move prospects through enrollment while maintaining structured Salesforce call documentation.”

“Data engineer with Webster Bank experience owning end-to-end pipelines (APIs + databases) processing millions of records/day, improving data quality (25–30% fewer issues) and reliability (~99.9% successful runs). Built resilient external data ingestion/scraping systems (schema-change validation, idempotent backfills, monitoring/alerts) and shipped a FastAPI service exposing curated datasets with versioning and consistently low latency.”

Andrea Scherle Alleyne

Screened

Senior Project Manager specializing in industrial construction and energy projects

20y exp

“Project/operations leader who helped a growing company (2023–2024) overhaul its internal delivery operations by standing up a PMO and customizing PMI-based project management frameworks end-to-end (requirements, sprint cadence, bug handling, dashboards/KPIs). Strong in diagnosing operational inefficiencies through current/future-state analysis and advising founders/executives with a servant-mentor style grounded in deep listening and candid feedback.”

“Built a production, real-time clinical documentation system at HCA that converts doctor–patient conversations into structured clinical summaries using speech-to-text, LLM summarization, and RAG. Demonstrated measurable gains from medical-domain fine-tuning (clinical concept recall +18%, ROUGE-L 0.62 to 0.74) while meeting HIPAA constraints via PHI anonymization and encryption, and deployed via Docker/FastAPI with CI/CD and monitoring.”

“Program manager with experience leading a federally oriented biomedical research SaaS platform at Velsera, overseeing contract deliverables, budgets, SOWs, and roughly 10 concurrent projects across cloud-based data and analysis environments. Stands out for managing complex cross-functional initiatives in a regulated research context while maintaining 99.5% budget adherence over two years, plus earlier hands-on biotech operations experience in equipment, sample, and compliance tracking.”

Jeffrey Ren

Screened

Mid-level Full-Stack Software Engineer specializing in SaaS and AI-enabled web applications

Henderson, NV5y exp

“Full-stack engineer who led an end-to-end rebuild of a service-agent case management app (React SPA + backend/DB updates) and added Datadog monitoring, improving agent throughput by ~1 case/hour and saving roughly $15K/month. Experienced in incremental legacy modernization (including moving a legacy React frontend toward a Rails-based approach) with heavy unit/E2E testing and strong cross-team stakeholder communication.”

Justin Stander

Screened

Staff Frontend Engineer specializing in React platforms and SaaS architecture

New York, NY22y exp

“Frontend engineer who owned a globally deployed, multi-brand appointment-booking experience for Estée Lauder, balancing React modernization with legacy platform constraints. Stands out for combining micro-frontend architecture, browser-performance optimization, and product analytics tools like Fullstory, NPS, and attribution tagging to drive both UX improvements and measurable revenue impact.”

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.”

“Candidate declined to proceed with the text-based/AI screening format and did not share portfolio details, stating a preference to walk a human through their work and assess role/culture fit in a two-way conversation.”

“Recruiting leader who has managed teams of up to 9 and delivered major cost savings by cutting third-party agency spend by $1M+ through proactive pipelining and team-based sourcing. Comfortable operating hands-on in executive search and influencing C-suite/board stakeholders with data, including redesigning an interview process from five rounds to three to reduce candidate drop-off.”

“Video editor/motion graphics creator with ~20 years of Premiere Pro + After Effects experience, focused on emotion-driven storytelling and retention in longform YouTube content. Has edited for Newsflare (4M subscribers) and built their own channel, Paisetta Media, to ~100K subscribers; also mentors other editors with a quality-first, example-based feedback style.”

“Operations-focused advisor/operator who helps early-stage and scaling companies create alignment and execution rigor through OKRs, integrated tool stacks (Asana/Slack/HubSpot/Salesforce), and KPI/BI dashboards. Notably improved a mid-sized e-commerce company’s order fulfillment efficiency by 30% by automating data flow between sales and logistics via an integrated inventory management system, and mentors non-ops founders using a 'Translate–Simplify–Empower' model.”

“Cloud/Kubernetes-focused engineer with production ownership in multi-account AWS environments (GE) and EKS-based platforms (Lumeus.ai). Strong in incident response and reliability—diagnosed IAM-driven serverless failures (SQS/Lambda) and Kubernetes deployment issues (CrashLoopBackOff, memory pressure) with rollbacks, policy fixes, and improved monitoring. Built secure Jenkins CI/CD and delivered infrastructure via CloudFormation and Terraform for serverless and EKS stacks.”