Vetted Microsoft Azure Professionals

“Has worked across multiple startup stages from pre-funding through Series D and emphasizes rigorous idea validation through direct conversations with both end users and purchasing decision-makers. Interested in applying NLP to automate summarization/abstracting of highly technical articles, with a balanced view of entrepreneurship that prioritizes health and family.”

Waldorff Villacres

Screened

Healthcare technology executive and architect with 20+ years leading enterprise platforms and digital transformation.

Seattle, Washington, USA21y exp

“Healthcare-focused founder in the R&D stage building an EHR and clinical staffing startup centered on value-based care. They have already tested the concept with the market, are engaging Medicaid/Medicare leaders and industry conferences like ViVE and HIMSS, and are focused on early-signal detection to improve patient outcomes while lowering utilization costs.”

“Built and deployed a production RAG-based internal knowledge assistant that let analysts query company documents in natural language, using LangChain/LangGraph with Pinecone and a FastAPI service for integration. Emphasizes reliability in production through hallucination mitigation (retrieval tuning + prompt guardrails) and measurable evaluation/monitoring (accuracy, latency, task completion, hallucination rate), iterating based on user feedback.”

“Built and shipped a production Python service integrating with a helium mass spectrometer for real-time sensing and remote control/monitoring. Combines hardware integration, observability, and Playwright-based automation expertise, with a strong track record of turning brittle or ambiguous real-world processes into reliable systems— including reducing dashboard automation failures from about 20% to under 2%.”

“Built an internal RAG assistant for financial documents using FastAPI, OpenAI APIs, and vector search, improving document search speed and reducing manual effort for the business team. Stands out for a pragmatic approach to AI engineering: uses AI heavily for productivity, but keeps human judgment central and has designed retrieval, validation, and summarization workflows end-to-end.”

“Engineer working on high-throughput financial systems who uses AI pragmatically to accelerate development without sacrificing design ownership, correctness, or compliance. Particularly interesting for teams building regulated, real-time platforms: they have hands-on experience integrating fraud detection models into microservices, handling transaction ingestion, scoring, decisioning, and throughput-sensitive asynchronous workflows.”

“Senior engineering executive with 8+ years leading large-scale SaaS modernization across AI, compliance, ecommerce, streaming, IoT, and travel. Has led a 150+ global engineering org, modernized seven cloud-native platforms for a $400M business, and consolidated travel systems processing $1B+ annually while staying hands-on in architecture, incident response, and AI integration.”

“PMP-certified project/program manager with 13 years of experience leading high-stakes federal intelligence and law enforcement technology programs. Has owned a $15M+ portfolio spanning AI/ML analytics platforms, AWS/Azure cloud initiatives, and enterprise data integrations, with active Secret Clearance and a track record of improving executive visibility and reducing escalations in compliance-heavy environments.”

“Backend-leaning full-stack engineer who has shipped real-time, customer-facing dashboards and ticketing/payment features at Freshworks and Global Payments. Strong in Python API design (Django/Flask/FastAPI) and React/TypeScript UIs, with hands-on experience scaling PostgreSQL for high transaction volumes and operating services on AWS, including incident response and HIPAA-aligned security controls.”

“Dell engineer with hands-on full-stack and AI-powered internal platform experience, spanning React/TypeScript frontends, Spring Boot/Python microservices, Kafka streaming, and AWS/Kubernetes deployment. They’ve owned monitoring and anomaly-detection products end to end, including a dashboard that reduced manual log review and helped teams detect issues roughly 30% faster, while also translating complex AI outputs into intuitive experiences for non-technical users.”

“Financial-services software engineer with experience building both full-stack advisor tools and production AI features at Charles Schwab. They owned an automated portfolio rebalancing workflow and helped launch an LLM-powered reporting assistant that cut report-writing time by 70%, while maintaining compliance through strict tool use, evals, and mandatory human review.”

“Backend-leaning full-stack engineer with 7 years of Python experience who has worked on data-heavy products in both healthcare and social media intelligence. Particularly notable for driving Elasticsearch-based search improvements on a B2B social media analytics platform and for building secure healthcare APIs using Flask/Django with OAuth, JWT, and multiple databases.”

“Frontend engineer with hands-on experience building data-heavy financial and climate visualization dashboards in React/TypeScript. Stands out for combining performance tuning, maintainable component architecture, and geospatial UI work, including a reported 40% reduction in initial load time on a production dashboard.”

Jessell Bassett

Screened

Executive technology leader specializing in cloud, engineering operations, and SaaS platforms

Charlotte, NC12y exp

“Senior technology executive and CISO with hands-on engineering leadership in healthcare, spanning WordPress platform operations, CI/CD transformation, compliance, and AI adoption. Notably led a migration for 1,200 client sites that cut launch times from weeks to days and built an AI-created production application that eliminated $250K in annual spend, while emphasizing human oversight and secure delivery.”

“Frontend engineer with experience at US Bank and S&P Global building complex React dashboards for analysts working with real-time, high-volume transaction and model-performance data. Stands out for combining performance tuning, scalable state architecture, and usability improvements that directly reduced manual analysis effort for expert users.”

“Entrepreneur building an applied-AI tool for geological resource exploration (critical minerals, oil & gas) that overlays proprietary and public data from reports/logs/maps to generate evidence-based greenfield profiling insights. Has spent ~2 years on industry research, built a POC, validated demand with purchasing signals, and developed partnerships/network including USGS, DARPA, and ESRI.”

“Backend engineer with experience evolving a high-volume agricultural loan processing platform (APMS) at HDFC Bank, emphasizing transactional integrity, auditability, and modularity while integrating with credit bureaus, document management, and risk engines. Also improved automation/reporting robustness at Trend Micro by catching duplicate-event retry edge cases and adding idempotency safeguards.”

“Open-source JavaScript contributor focused on performance and maintainability in data visualization libraries—refactored legacy ES5 into modular ES6, added tests/docs, and delivered ~30% faster load times with positive community adoption. Also optimized a React dashboard (~40% load-time reduction) and took ownership in an ambiguous AI product initiative by setting milestones, standing up an initial ML pipeline, and shipping a prototype in ~6 weeks that became the basis for production.”

“Full-stack engineer with experience at Vanguard, PNC, and Humana building customer-facing investment/banking flows and internal ops tools using Angular/React/TypeScript with Spring Boot microservices. Strong in shipping time-sensitive changes safely via automated testing/CI (JUnit/Mockito, Jenkins, SonarQube) and in operating event-driven microservices with Kafka (idempotency, retries, correlation IDs). Improved internal tool adoption by responding to ops/support feedback with query optimization and clearer search results.”

“Software engineer with experience at Walmart and Amex building customer-facing backend services and microservices at scale (RabbitMQ). Built an internal developer tooling platform integrating Figma with GitHub Copilot to automate consistent React component creation, adopted across multiple teams; emphasizes fast, safe iteration using metrics, feature flags, gradual rollouts, and automated testing.”

“ML/GenAI engineer with production experience building an LLM-powered governance layer that summarizes verified drift/performance signals into validation reports and release notes, designed for regulated environments with de-identification and non-blocking fallbacks. Strong Airflow-based orchestration background across healthcare and finance, integrating Databricks/Spark and MLflow for scalable retraining/monitoring. Demonstrated ability to partner with non-technical healthcare operations teams to deliver actionable risk-scoring outputs via dashboards and automated reporting.”

“Developer with experience across Drupal and Java/Spring Boot applications using React/jQuery for UI and API-driven features. Has handled production issues by tuning reverse proxy timeouts for login problems and troubleshooting data pipeline inaccuracies by fixing database queries, with a focus on performance and careful verification before changes.”

“Backend engineer who built Flask-based microservices for a high-throughput risk engine, using Kafka for streaming decoupling and Redis for low-latency caching, with PostgreSQL + Cassandra for mixed relational and time-series needs. Has hands-on experience productionizing ML inference (Azure OpenAI/TensorFlow) behind REST APIs with async queues, batching, and caching, plus multi-tenant isolation via schema separation and RBAC with per-tenant rate limiting.”

“Design engineer blending UX/product design with hands-on technical implementation and analytics. Built a full-stack restaurant web app (Node.js/MongoDB) and improved conversion via instrumentation (sensors/heatmaps) and UX changes; also designed a smart-meter anomaly triage dashboard using Python + Power BI to make complex data usable for non-analysts. Led trust-focused conversational UI direction for an AZ water chatbot based on deep user interviews.”