Skip to main content
Kyle Greenough

Kyle Greenough

Senior AI-native Full Stack Software Engineer

Talent
DartmouthMember since September 18, 2026
TypeScriptPythonJavaSQLReactNext.jsAngularReact NativeNode.jsDjangoFastAPIGraphQLPostgreSQLMongoDBpgvectorQdrantOpenAIAnthropic ClaudeRAGEmbeddingsVector SearchSemantic SearchAWSRDSAzureHerokuDockerKubernetesTerraformCI/CD
·

Hire this person

Send a job offer directly to this candidate

TypeScriptPythonJavaSQLReact

About

Senior AI-native Full Stack Software Engineer with 8+ years of experience building healthcare SaaS, fintech, marketplace, and AI-powered web, mobile, and data platforms. Strong hands-on expertise in TypeScript, React, Next.js, React Native, Node.js, Python, Django, FastAPI, GraphQL, PostgreSQL, MongoDB, AWS, Azure, Docker, Kubernetes, and CI/CD. Proven ability to own SaaS architecture, secure APIs, LLM/RAG workflows, vector search, observability, automated testing, and production reliability from ambiguous requirements to shipped releases.

Effective in fast-moving startup and distributed teams, collaborating asynchronously with product, design, engineering, and customer stakeholders through clear documentation, peer reviews, and delivery ownership.

Experience

Senior Full Stack Software Engineer at Coaldev (2023-06 – Present)

Led AI-powered SaaS delivery across architecture, LLM workflows, automation, and reliability.

  • Owned technical delivery for Sortsy AI file-organization platform, translating ambiguous startup requirements into production-ready architecture, release plans, and customer-facing workflows.
  • Architected React and Next.js interfaces for semantic search, automation feedback, and admin dashboards, improving task completion by roughly 25% in usability reviews.
  • Built Node.js service layers for authentication, permissions, integrations, and workflow orchestration, removing duplicate backend patterns across 4 shared product modules.
  • Developed Python and FastAPI workers for document processing, AI contract automation, and structured extraction, reducing failed processing runs by 30% monthly.
  • Implemented RAG pipelines with OpenAI, Anthropic Claude, embeddings, and pgvector/Qdrant search, improving retrieval quality during knowledge-heavy product workflows for internal users.
  • Improved Docker and AWS deployment workflows with CI/CD, monitoring, and alerting, cutting repeat release issues across active products by about one-third.
  • Led small-team planning, pull-request reviews, architecture notes, and stakeholder demos, keeping product decisions clear while requirements changed during delivery cycles.
  • Accelerated delivery with Cursor, GitHub Copilot, and Claude Code to prototype, refactor, and validate features, shortening implementation cycles by 2–3 days.

Software Engineer, Healthcare Data Platform at Zus Health (2021-08 – 2023-02)

Owned Zus Aggregated Profile backend feature delivery across APIs, data workflows, security, and reliability.

  • Engineered Python and Django routing services with validation, retries, and reconciliation, reducing failed processing jobs by 30% across customer pipelines.
  • Designed secure GraphQL APIs for profile, timeline, and data-access workflows, improving developer integration speed by 25% through cleaner schemas and contracts.
  • Streamlined FHIR-aware normalization and ingestion monitoring for fragmented customer data, helping teams access cleaner profiles without rebuilding downstream transformation logic.
  • Optimized PostgreSQL schemas, indexes, and query paths for core platform data, bringing heavily used API responses below common latency targets.
  • Automated Azure infrastructure delivery with Terraform and CI/CD pipelines, removing 40% of manual deployment steps and improving release consistency overall.
  • Partnered with product, clinical, and customer-facing teams to clarify data workflows, document API behavior, and deliver more reliable production features.

Full Stack Engineer at Tekki Web Solutions Inc. (2018-02 – 2021-05)

Delivered startup-ready web and mobile products for healthcare, fintech, and marketplaces.

  • Built full-stack React and Django healthcare portals with assessment forms, admin workflows, and report delivery, making service flows easier for non-technical users.
  • Modernized React and Angular dashboards for fintech and marketplace clients, reducing duplicate frontend work by 30% through reusable component patterns.
  • Developed Node.js services with MongoDB models for ordering, profiles, payments, and reporting workflows, cutting duplicate backend logic by 35% overall.
  • Launched React Native mobile flows for order history, notifications, and customer profiles, extending mobile access across 3 production client platforms.
  • Deployed AWS-backed services for uploads, email notifications, background jobs, and configuration, preventing recurring environment issues during production launches for clients.
  • Translated client feedback into sprint-ready tasks with designers, QA, and backend teammates, keeping changing requirements clear across active delivery cycles.

Software Engineering Intern at Salesforce (2016-07 – 2016-12)

Supported Heroku reliability through Java testing, buildpack validation, documentation, and monitoring.

  • Validated Java buildpack workflows across 20+ sample applications, improving release confidence for supported Heroku deployment paths during platform rollout testing.
  • Implemented 20+ Java/JUnit regression tests for platform services, increasing backend coverage and catching 2 edge-case failures during release validation cycles.
  • Fixed deprecated API usages and backend defects in Java modules, eliminating 50+ CI warnings and improving long-term service maintainability overall.
  • Contributed peer-reviewed pull requests, Log4j troubleshooting details, and Heroku workflow documentation that helped engineers diagnose platform issues during support incidents.

Education

Bachelor's Degree in Computer Software Engineering – Dalhousie University (2013 – 2017)

Skills

Senior AI-native Full Stack Software Engineer

Reviews

Related