CANDIDATE DOSSIER · TARGET ADVANCED AI
Applied: Senior Full-Stack Engineer · Lead AI Engineer · Principal Engineer, AI/ML Platform

Your team builds production AI systems end‑to‑end. So do I — every day.

Dr. Mohamed Elansary. Full-stack & AI engineer who ships agentic AI, LLM applications, and the APIs, front ends, and pipelines that put them into production.

PhD, Environmental Engineering Building production AI daily Open to Brooklyn Park, MN & hybrid

A note before the résumé

Instead of only sending a PDF, I built you the thing the role is about.

This page is a live production web app at target.drelansarym.com — built the same way I ship AI systems. Fastest honest way to show how I think and ship. Everything below is real work, mapped directly to your job description. Nothing borrowed, nothing inflated.

The match

Line by line, what you asked for —
and what I already run in production.

The roleBuild the application layers, services, APIs, integrations, and user experiences that bring AI/ML into core business workflows.
I build exactly this: a multi-tenant AI receptionist platform — front end, backend services, REST APIs, and integrations (Retell, n8n, Meta Cloud API) — that puts AI into a real booking workflow. In production, taking real calls.
AI / ML systemsLLM-powered workflows, retrieval-augmented generation, agentic systems, intelligent automation, model APIs.
Production LLM pipelines with retrieval / RAG, query routing, and per-tenant data isolation; autonomous agentic outreach engines; voice-AI agents. Agentic where it adds clear value — the JD's own bar.
Full-stack proficiencyModern frontend & backend, Python strongly preferred; TypeScript, JavaScript, Go and similar; API design and service-oriented architectures.
Daily in Python and TypeScript/JavaScript (plus Rust); full-stack web apps, REST APIs, and service integrations designed and shipped end to end. Frontend to backend to the wire between them.
Production readinessMaintainable, well-tested code; version control, CI/CD, monitoring, documentation, and production support.
I own the full lifecycle — architecture, CI/CD, deployment, monitoring, and production support — on self-hosted cloud infrastructure I run myself. I'm the on-call, too.
System qualitiesSecure, reliable, performant, scalable, observable; sound system design at enterprise scale.
6+ years operating HPC-scale, data-intensive systems on large federal datasets (USGS, NOAA, NASA) with QA/validation to publication grade. Scale and reliability aren't new to me.
Technical leadershipFor the Lead & Principal roles: provide hands-on technical leadership, mentor engineers, and raise the technical bar across the team.
I've led teams from research through delivery — 4–6 researchers, junior engineers at EDAT, and engineers and contractors as a CTO — owning architecture, standards, and the people's growth. Leading and building, not one or the other.
How you workStrong product thinking and ownership; turn business and technical requirements into practical, scalable applications; move quickly at a high bar.
I run my own engineering practice — I translate a business need into a shipped system, fast, and I answer for how it performs. Ownership is the default, not a stretch.

Selected work

Production systems — named by what they do.

Real AI-powered applications, live today. Each one is the kind of end-to-end build this role is about.

01

24/7 AI voice receptionist

Answers on the first ring, qualifies the caller, books the job, and texts the lead before they hang up. A full app: telephony + LLM + calendar + CRM, wired and monitored.

Voice AI · APIs
02

Multi-tenant AI receptionist platform

The receptionist as a platform — per-tenant routing, data isolation, and dashboards. Application layer, services, and integrations that bring AI into many businesses at once.

Full-stack · Multi-tenant
03

WhatsApp booking concierge

Multilingual agent for a vehicle dealer. Handles the back-and-forth, holds the slot, and confirms the appointment inside the chat the customer already uses.

Agentic · Integration
04

Self-running outreach engine

An autonomous B2B pipeline that sources, writes, and sends on its own — with the guardrails a human would want. Agentic automation doing real work unattended.

Agentic · Automation
05

Carbon-accounting platform (EDAT)

Built and ran an AI-driven carbon-accounting platform for two years — data engineering, ML/automation, and reporting workflows, from architecture through delivery.

Data · ML · Platform

The stack

The tools the role names — the ones I use.

Languages

  • Python
  • TypeScript
  • JavaScript
  • Rust
  • SQL
  • Bash

AI / ML

  • LLMs (GPT, Claude, Gemini)
  • Agentic frameworks
  • RAG / retrieval
  • Query routing
  • Voice AI
  • Intelligent automation

Full-stack & APIs

  • REST APIs
  • Web apps
  • Service integrations
  • Workflow orchestration
  • CI/CD
  • Testing

Cloud & ops

  • AWS / GCP / Azure
  • Linux (6+ yrs)
  • Self-hosted infra
  • HPC clusters
  • Monitoring
  • Databases

Who I am

A builder with a doctorate — and a rare bonus for Target.

Dr. Mohamed Elansary
PhD, Environmental Engineering — Texas A&M University–Kingsville (2022)
Founder & Principal AI Engineer, Vertexium Environmental Solutions
Dallas–Fort Worth, TX · open to relocation

I'm not a generalist hoping to learn AI on the job. Building production AI systems — agentic, LLM-powered, full-stack — is what I do every day. I'd ship for your Advanced AI team, not ramp up to it.

The bonus: my doctorate is in environmental engineering. For a company with a real sustainability commitment, that's an engineer who can also speak the language of environmental data and reporting — a rare overlap, offered as a plus, not the pitch.

Let's build something at Target.

Thank you, Jamie — for the conversation and for opening the door. I've applied to three of your Advanced AI roles — Senior Full-Stack Engineer, Lead AI Engineer, and Principal Engineer, AI/ML Platform — and I'd be grateful for the referral. I won't waste it.

Get in touch Dr. Mohamed Elansary · drelansarym.com · Dallas–Fort Worth, TX