AI systems and product engineering that hold up in production.
Senior engineer and systems architect building production software across AI-enabled platforms, healthcare systems, and operational SaaS. I work across the full stack—TypeScript, Python, React, Node.js, PostgreSQL—taking products from architecture through launch. I build systems that are reliable, secure, and ready for real-world use.
View Experience
What I Build
Building practical AI features into production systems. Not just integrations—full-stack systems where AI is core to the product.
AI-Enabled Product Systems
  • OpenAI-integrated applications and vector search
  • Enrichment pipelines and retrieval workflows
  • Practical AI in production environments
  • Backend systems that power AI product functionality
  • Agentic systems and intelligent workflows
End-to-end ownership from architecture to shipped product. I build user-facing software that works reliably at scale.
Full-Stack Product Engineering
  • TypeScript, React, Next.js, Node.js
  • APIs and database design
  • Frontend + backend ownership
  • MVP to production execution
  • Real-time systems and data workflows
Reliable systems that scale. I build infrastructure that makes teams consistently fast and secure.
Platform & Architecture Foundations
  • PostgreSQL and cloud-native systems
  • Scalable APIs and CI/CD pipelines
  • Observability, reliability, and security
  • Data architecture and performance
  • Systems that operators trust
Selected Experience
AdaTech | Strategic Technology Advisor & Lead Solutions Architect | 2018–Present
Full-stack SaaS platform for operational workflows. Node.js backend, React frontend, PostgreSQL database. Shipped systems that power real business operations.
More detail
  • What I built: Full-stack SaaS platform for operational workflows, integrating complex business logic and user interfaces.
  • Systems I owned: End-to-end architecture, development, and deployment of a multi-tenant SaaS application.
  • Technical stack: Node.js, React, PostgreSQL, TypeScript, cloud-native deployments.
  • Production context: Delivered high-performance systems for critical business operations in a fast-paced environment.

ClariHealth | Founding Engineer, AI Health Platform | Oct 2025–Feb 2026
AI-enabled healthcare platform with backend APIs, EHR integration, and compliance-aware architecture. Built systems for regulated healthcare environments.
More detail
  • What I built: AI-enabled healthcare workflows, including patient data processing and predictive analytics features.
  • Systems I owned: Design and implementation of secure backend APIs and data integration with Electronic Health Records (EHR) systems.
  • Technical stack: Python (AI/ML), Node.js (APIs), PostgreSQL, compliance-focused infrastructure.
  • Production context: Developed robust, scalable systems adhering to strict healthcare regulatory and compliance standards.

Energentis | AI Platform Architect | Oct 2025–Jan 2026
AI-native planning platform with validation frameworks, backend services, and reliability-first architecture. Systems designed for high-stakes decision-making.
More detail
  • What I built: AI-native planning platform with integrated validation systems for complex problem-solving.
  • Systems I owned: Core backend services, scalable data processing pipelines, and high-availability infrastructure.
  • Technical stack: Python (AI/ML), Go (backend services), Kubernetes, cloud-native observability tools.
  • Production context: Engineered systems for high-stakes environments requiring extreme reliability, auditability, and performance.

GoAudience | Founding Engineer | Apr 2025–Oct 2025
Audience intelligence platform. Internalized outsourced codebase. Node.js + TypeScript backend, React + TypeScript frontend, PostgreSQL + pgvector, OpenAI integration.
More detail
  • What I built: Comprehensive audience intelligence platform with data enrichment and analytics capabilities.
  • Systems I owned: Re-architected and internalized outsourced codebase; managed full-stack development, database, and AI integrations.
  • Technical stack: Node.js, TypeScript, React, PostgreSQL with pgvector, OpenAI API, AWS services.
  • Production context: Optimized performance and scalability while integrating advanced AI functionalities for data analysis.

PathSpot | Senior Software Engineer | 2024–2025
Backend systems and production reliability. Enterprise software context.
More detail
  • What I built: Scalable backend services supporting enterprise-grade applications.
  • Systems I owned: Core API development, database interactions, and deployment pipelines.
  • Technical stack: Node.js, Python, PostgreSQL, AWS infrastructure, CI/CD tools.
  • Production context: Maintained and enhanced critical production systems ensuring high availability and robust performance for enterprise clients.

Adomo Health | Full-Stack Engineer | 2023–2024
Healthcare workflows and EHR integration. Compliant architecture and full-stack product delivery.
More detail
  • What I built: Full-stack applications for healthcare workflows, focusing on patient management and data visualization.
  • Systems I owned: Frontend UI/UX, backend API development, and secure integration with EHR systems.
  • Technical stack: React, Node.js, GraphQL, PostgreSQL, cloud security frameworks.
  • Production context: Delivered compliant and user-friendly products within a regulated healthcare IT environment.
Case Study: GoAudience
AI-Enabled Product Systems
The Challenge
Anonymous website traffic provided little actionable signal. Marketing teams couldn't identify high-value prospects or understand visitor intent.
What I Built
End-to-end audience intelligence platform: tracking pixel, visitor analysis engine, intelligent scoring, and prospect matching. Node.js/Express backend with React/TypeScript frontend, secure data pipelines, and OpenAI integration.
Outcome
Improved ability to identify and act on high-value audience patterns. Transformed anonymous traffic into actionable intelligence.
Technical Approach
  • Real-time data capture and analysis
  • Vector search and enrichment workflows
  • PostgreSQL + pgvector for semantic search
  • OpenAI APIs for intelligent scoring
  • Security and performance as first-class concerns
  • Production hardening and CI/CD
Case Study: Adomo Health
Healthcare Systems & Compliance
The Challenge
Healthcare intake and service ordering workflows were manual, error-prone, and compliance-sensitive. Clinicians needed fast, reliable systems that respected HIPAA requirements.
What I Built
Full-stack healthcare platform: backend APIs for patient data integration, EHR connectivity, and service ordering. React/Next.js frontend with TypeScript, Node.js/Express backend, compliance-aware architecture.
Outcome
Improved efficiency and reduced operational friction in clinical workflows. Enabled faster, more reliable patient intake and service coordination.
Technical Approach
  • EHR integration and data mapping
  • HIPAA-compliant architecture patterns
  • Healthcare data standards and workflows
  • TypeScript/React/Next.js frontend
  • Node.js/Express backend
  • PostgreSQL for healthcare data
  • Compliance-first engineering
Case Study: AdaTech
Full-Stack SaaS & Digital Transformation
The Challenge
Businesses relied on fragmented manual processes and disconnected digital systems. Operations were inefficient, error-prone, and hard to scale.
What I Built
Complete digital operating system: staff management, recipes, ingredients, inventory, orders, plus customer-facing ordering platform. Full React frontend with Node.js/Express backend, SQL/NoSQL hybrid architecture.
Technical Approach
Deep domain understanding. Built for operators, not software people. Made complex workflows simple. Every feature solved a real pain point.
Outcome
Digitized and streamlined operational workflows. Enabled significant business growth through operational efficiency.
Technical details
  • React frontend with component architecture
  • Node.js/Express backend with REST APIs
  • SQL/NoSQL hybrid data model
  • Real-time sync and data consistency
  • Mobile-responsive design
  • CI/CD and production deployment
  • Business systems design and workflow modeling
Case Study: Energentis FUSION
Infrastructure & Validation Systems
The Challenge
Long-term energy planning requires auditable, defensible outputs. Decisions affect infrastructure for decades. Planning tools lacked the validation, reliability, and transparency that high-stakes decisions demand.
What I Built
AI-native planning platform architecture with rigorous validation frameworks, REST/GraphQL APIs, and comprehensive observability. Built reliability into every layer so outputs can withstand scrutiny.
Outcome
Enabled more defensible and transparent infrastructure planning workflows. Created systems that operators trust because they can verify every assumption.
Technical approach
Planning engine architecture
Scenario simulation and validation
REST/GraphQL API design
Observability and audit logging
Reliability patterns for high-stakes systems
Data integrity and auditability
Backend services architecture
Core Technical Skills
Languages
  • TypeScript
  • JavaScript
  • Python
  • SQL
Frontend
  • React
  • Next.js
Backend
  • Node.js
  • Express
  • NestJS
  • FastAPI
Data & Storage
  • PostgreSQL
  • MongoDB
  • MySQL
  • pgvector
Cloud & Delivery
  • AWS
  • Azure
  • Docker
  • CI/CD
AI & Systems
  • OpenAI APIs
  • Vector search
  • Scalable APIs
  • Distributed systems
Background
Toronto-based senior engineer and systems architect with experience building production software across AI-enabled products, healthcare systems, and operational SaaS.
Education
  • MBA, Strategy — Ferdowsi University of Mashhad
  • Software Engineering Diploma — BrainStation
Certifications
  • AWS Certified Solutions Architect – Associate
  • ISC2 Certified in Cybersecurity (CC)
Let's Work Together
I'm Looking For
  • Founding Engineer roles where I own systems end-to-end
  • Senior Full-Stack Engineer positions with product ownership
  • Lead AI Engineer roles building production systems
  • AI Systems & Architecture roles at growth-stage companies
  • Positions where I can stay close to the product and ship reliable software
Get In Touch
Primary Email:
iman@hedeshy.ca
Secondary Email:
iman.hedeshy@gmail.com

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