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.
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.
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.
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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.
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.
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