Capabilities

Lead-level product and platform engineering across production AI, distributed systems, and full-stack delivery. My strongest work connects technical depth with customer outcomes, operational reliability, and clear engineering leadership.

AI and RAG Systems

Production AI applications, retrieval, and workflow automation.

Production

OpenAI API

LLM application and chatbot delivery

Production

Retrieval-Augmented Generation

Grounded retrieval workflows for customer-facing AI

Production

pgvector

Vector search for production RAG applications

Production

Whisper

Ambient transcription and clinical note workflows

Strong

LangChain

LLM orchestration and retrieval application patterns

Production

AI Data Pipelines

Structured extraction, validation, and model-ready data

Application Engineering

End-to-end web products, SaaS workflows, and practical user experiences.

Production

TypeScript

Type-safe web and backend application delivery

Production

JavaScript

Full-stack product and workflow development

Production

Python

AI, data, API, and device-integration services

Production

React

Customer-facing operational and SaaS interfaces

Production

Node.js

APIs, real-time systems, and backend services

Strong

Django

Python web applications and platform services

Strong

Flask

Lightweight inference and integration APIs

Strong

Meteor

GraphQL-powered SaaS application development

Data and APIs

Data models, query systems, and dependable application interfaces.

Production

PostgreSQL

Relational data models and performance-focused queries

Production

Neo4j

Graph data and Cypher query paths for research workflows

Production

GraphQL

Schema-driven APIs for complex client workflows

Production

REST APIs

Secure, high-throughput service interfaces

Strong

MongoDB

Document data for SaaS application workflows

Strong

Redis

Low-latency application data and caching

Working knowledge

RabbitMQ

Message-driven integration patterns

Production

WebSockets

Real-time operational visibility and device workflows

Cloud Reliability and Delivery

Cloud operations, release quality, testing, and observable production systems.

Production

AWS

Cloud delivery across compute, storage, and services

Production

Docker

Consistent local, CI, and production environments

Strong

GitHub Actions

Automated build, test, and release workflows

Strong

Jenkins

Custom CI/CD tooling for ML-backed releases

Strong

CircleCI

Continuous integration and release automation

Strong

Cypress

End-to-end quality checks for web applications

Strong

Kibana

Operational dashboards and release diagnostics

Strong

Nginx

Web delivery and reverse-proxy configuration

IoT Mobile and Integrations

Connected devices, mobile control surfaces, and operational integrations.

Production

MQTT

Device telemetry and remote-control messaging

Production

Modbus

RS485, TCP, and serial embedded-device integrations

Production

Android

Native monitoring and remote-control applications

Strong

TensorFlow

Neural-network models for automation workflows

Working knowledge

PyTorch

Model experimentation for prediction systems

Production

Payments

Production payment and certification workflows

Production

Embedded Integrations

Cloud-to-device services for distributed kiosks

Product and Engineering Leadership

Architecture, execution, and cross-functional leadership for complex products.

Production

Technical Strategy

Pragmatic architecture for product and platform decisions

Production

Product Roadmaps

MVP-to-production planning and technical execution

Production

Cross-Functional Leadership

Alignment across product, design, science, and operations

Production

Engineering Mentorship

Growing engineers and reusable platform capabilities

Strong

Security-Conscious Design

Access control and healthcare or financial workflow safeguards

Strong

Customer Discovery

Workflow validation, experiments, and outcome-focused iteration