Vetted Scalability Professionals

“Entrepreneur building an AI-driven outbound growth and automation startup, currently self-funding development through consulting while validating market demand. Stands out for combining technical workflow automation with practical go-to-market experimentation, including deliverability-focused outbound systems and webinar partnerships with local experts to drive trust and conversion.”

“Built a healthcare app backend and supporting product pieces from scratch for Maverick Health—covering database schema, API structure, Node.js implementation, and UI design in Figma—while targeting 10,000 patients and keeping AWS run costs to ~$20–$30/month. Shipped an Android closed beta on Google Play and handled real-world launch hurdles like privacy policy compliance and push notification infrastructure.”

“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.”

“Built and productionized an internal LLM-powered search tool that helps engineers find the right SolidWorks macros using plain-English queries, using OpenAI embeddings and ChromaDB with strong logging/fallback safeguards. Experienced in diagnosing RAG/agentic workflow issues in real time and in hands-on API support, including fixing customer macros after SolidWorks version updates and driving adoption through reusable solutions and best practices.”

“Software engineer who has built both internal developer productivity tooling (a backend API supporting repeatable UI test data/mocking for Dapper) and a personal Go-based LLM workout coach using Gemini and structured logs/config. Emphasizes maintainability and reliability via scalable UI component tagging (Telerik), audit logs, and reproducible Dockerized environments; targeting $160k base.”

John Abraham

Screened

Executive Credit Risk Leader specializing in underwriting and lending portfolio management

San Diego, USA21y exp

“Operations leader with deep fintech/lending startup experience (OnDeck Capital, 1st Merchant Funding, ForwardLine, Founders First) building end-to-end underwriting-to-portfolio operations, compliance, and supporting functions like sales/marketing. Known for scaling teams and automating repeatable work—citing growth from ~$3MM to ~$20MM in 2 years—while implementing systems like Salesforce/QuickSight and helping build proprietary funding and portfolio management software. Also provides structured part-time advisory support with clear scope/cadence, including helping set up a global finance company based in Argentina.”

“ML practitioner with a QA background who has built end-to-end ML pipelines for a health risk prediction use case (lifestyle + demographics), emphasizing robustness through strict data validation, leakage prevention, and cross-validation. Collaborated with a dietician to sanity-check predictions and refine feature interpretation for real-world practicality; has not yet deployed LLM/AI systems to production and has no hands-on orchestration framework experience but is willing to learn.”

“Full-stack engineer who described building Matrix, a meeting-room booking system across React, ASP.NET Core, and SQL Server. Stands out for owning the workflow end-to-end, emphasizing backend-enforced booking conflict validation, React performance optimization, and integrations like Google Calendar and email notifications.”

“Early-career/new-grad candidate who built TrendScout AI, an evidence-first market intelligence agent that ingests messy news, extracts entities/events, builds a Neo4j knowledge graph, and answers questions via RAG with citations. Achieved ~95% retrieval relevance by combining ChromaDB semantic search with graph-based retrieval and validating outputs through human evaluation and guardrails to prevent hallucinations.”

“Significant contributor/maintainer to an open-source JavaScript event-tracking client SDK, owning API consistency/backward compatibility, high-load batching and retry/backoff improvements, and test/CI + documentation upgrades. Diagnosed production-like issues (missing events under load) via reproduction and logging, then reduced GC pressure and improved predictability with a ring-buffer-based batching redesign while actively triaging issues and reviewing PRs.”

“Led the creation of a software department at a hardware startup and designed/built a platform to manage fleets of hexacopter drones, including tackling the challenge of streaming high volumes of data from many IoT edge devices. Prefers greenfield work with high autonomy, combining hands-on architecture with structured planning, cost estimation, and risk-driven execution.”

Kent Hargrave

Screened

Executive Healthcare IT Leader specializing in enterprise strategy, cybersecurity, and clinical systems

Seattle, WA32y exp

“Candidate is not interested in entrepreneurship or founding a company and prefers working for others. Has limited familiarity with the VC/accelerator landscape, with indirect exposure through colleagues who pursued VC funding.”

“Aspiring founder focused broadly on the AI space, with no startup yet and novice familiarity with venture capital and accelerators. They are actively acclimating to the startup ecosystem through hackathons and meetup groups and express a strong all-in commitment to entrepreneurship.”

Amit Verma

Screened

Mid-level Java Full-Stack Engineer specializing in healthcare and enterprise microservices

Birmingham, AL6y exp

“Developer who actively integrates AI tools like Copilot, ChatGPT, and Cursor into day-to-day coding, testing, debugging, and framework learning to improve delivery speed. They also organize multi-agent workflows across code generation, review, testing, and documentation while retaining final ownership of quality and architecture decisions.”

“Engineering leader focused on developer platforms and identity: led a 5-person team building a multi-tenant IAM framework extending Duende IdentityServer, including governance, API standards, and multi-language SDKs. Drove major API architecture improvements by introducing GraphQL alongside REST, cutting client calls from 4 to 1 and reducing payload size by 60% within 6 months, with strong emphasis on stability (semver, E2E tests, feature flags, blue-green deploys).”