LinkedIn • Email • Portfolio • Resume (PDF)

✔ Hands-On Expertise in Agentic Artificial Intelligence (AI), Retrieval-Augmented Generation (RAG) pipelines, and cloud-native microservices
✔ Proven track record of building production-ready AI systems across healthcare, surveillance, education, and enterprise automation
✔ Skilled at turning complex AI workflows into scalable, human-friendly systems (Large Language Model Operations (LLMOps), Langfuse, OpenTelemetry)
✔ Experienced in real-time inference, cross-domain agent collaboration, and cloud-native deployment (Amazon Web Services (AWS), Google Cloud Platform (GCP), Vertex AI)
✔ Startup agility + enterprise discipline — from fast minimum viable product (MVP) cycles to enterprise-grade deployments at University of North Texas (UNT) Research Labs

I’m an AI Engineer and Full-Stack Product Builder who turns real-world pain points into deployed systems people actually rely on — not prototypes that only look good in slides. I care about one thing: reducing friction in moments that matter — helping someone understand their health, keeping crowds safer in real time, or giving teams faster answers they can trust.

I build the full stack end-to-end: application programming interfaces (APIs), internal tools, AI copilots, and cloud-native platforms with reliability and observability as first-class features. Across work with Krowd Guide, University of North Texas (UNT) Research, and Builder.ai, I’ve shipped agentic workflows (Planner → Retriever → Critic), hardened RAG pipelines, and production microservices instrumented with Langfuse + OpenTelemetry — so performance, failures, and fallbacks are visible and fixable under real load.

Right now, I’m building LangGraph-based agents with policy guardrails, tool-use, and hybrid RAG + graph retrieval for cross-domain intelligence — systems that stay grounded, auditable, and operational when the data is messy and the stakes are real.

🚀 Production systems I’ve shipped:
🩺 Medical AI copilot helping patients decode complex diagnoses into plain language
👥 Real-time crowd safety monitoring for large events with live detection + operator dashboards
🧑‍💼 Human Resources (HR) automation tools saving teams 10+ hours/week on admin workflows
🔐 RAG-powered knowledge engines for enterprise teams with high-confidence answers + explainability

“I build systems that fit how companies already operate—APIs, internal tools, AI copilots, and platforms that handle real edge cases and are actually used by real people. Not just demos that look good in slides.”

❤️ HealthTech & Wellness • 🏥 Healthcare & Clinical AI • 🔐 Cybersecurity & Threat Intelligence • 👥 HR Tech & People Operations (PeopleOps)
📚 Education Technology (EdTech) & Learning • ♿ Accessibility & Inclusive Design • ✈️ Travel / Transit / Events • 💳 Finance / Payments / Pricing
🗺️ Real Estate & Location Intelligence • 🛠️ Developer Platforms & Internal Tools • 🏗️ Engineering & Infrastructure • 🌍 Open to Applied AI in new domains

🤖 AI Copilots & Assistants • 📚 RAG Systems & Knowledge Engines • 📊 Real-Time Dashboards & Analytics
🧩 Internal Tools & Admin Portals • 🧠 Machine Learning (ML) / Large Language Model (LLM)-powered APIs & services • 🚀 Full-Stack MVPs & Platforms

AI-native cyber intelligence platform that converts internet-facing host findings into structured, operator-ready risk summaries using deterministic validation + RAG and production guardrails.
Stack: FastAPI • React + TypeScript • Vector Search • Schema Validation • OpenTelemetry • Langfuse

Clinical workflow-oriented platform focused on reducing healthcare friction: patient records organization, coordination flows, and fast access to critical context through a clean full-stack experience.
Stack: Full-Stack Web App • Secure API-first design • Workflow-driven user experience (UX)

Domain-specific RAG system resolving clinical queries with Facebook AI Similarity Search (FAISS) + Pinecone; Graphics Processing Unit (GPU)-accelerated on AWS Elastic Compute Cloud (EC2) using Compute Unified Device Architecture (CUDA).

Real-time surveillance intelligence detecting human actions & summarizing Closed-Circuit Television (CCTV) footage via Apache Kafka + GPT-4.

Multi-agent tutor with LangChain + ChromaDB + MiniLM, built for onboarding & training support.

Personalized wellness coach integrating wearable APIs + RAG orchestration; deployed via AWS Lambda.

Languages

AI & Generative Artificial Intelligence (GenAI)

Cloud & Infrastructure

Backend & Full-Stack Development

Cloud & Infrastructure

Data Engineering & Analytics

Version Control & Collaboration

📥 Download My Resume (PDF)