Ange-Gaelle Batie

AI/LLM Integration Engineer | Frontend Engineer (React) | Full-Stack Software Engineer | Mid Software Engineer | Senior Software Engineer
Dallas-Fort Worth, US | (509) 964-3399 | ange.batie@gmail.com | www.linkedin.com/in/ange-gaelle-batie | github.com/a-gbatie | gethiringfunnel.com/u/ange-gaelle-batie
Target roles: AI/LLM Integration Engineer | Frontend Engineer (React) | Full-Stack Software Engineer | Mid Software Engineer | Senior Software Engineer
Selected Impact Highlights
AI-Assisted Product Development: Built Savr mobile app with LLM orchestration, validation layers, and error handling for production use
Frontend Performance Optimization: Reduced latency in high-traffic user flows through TypeScript and API optimization
Production Feature Velocity: Shipped 3-5 production features per quarter at Cisco Meraki
Security Camera Trial Conversion Uplift: Increased conversion from 0.09% to 20.3% across 100K+ unit product line
Candidate Kit / HiringFunnel
CANDIDATE CONVERSION KIT
Ange-Gaelle Batie

Ange-Gaelle Batie

AI/LLM Integration Engineer · Frontend Engineer (React) · Full-Stack Software Engineer
Candidate thesis

Transitioned from apprenticeship to full-stack engineer at Cisco Meraki, shipping 3-5 production features quarterly while driving a 225x improvement in security camera trial conversion. Combines deep full-stack capabilities (React, Node.js, Rails) with emerging AI workflow expertise, excelling at translating user needs into reliable production systems.

Routing destination

Route to AI/LLM Integration Engineer, Frontend Engineer (React), Full-Stack Software Engineer teams building high-throughput services in the candidate's core stack.

Built Savr mobile app with LLM orchestration, validation layers, and error handling for production use
AI-Assisted Product Development
Reduced latency in high-traffic user flows through TypeScript and API optimization
Frontend Performance Optimization
Shipped 3-5 production features per quarter at Cisco Meraki
Production Feature Velocity
Increased conversion from 0.09% to 20.3% across 100K+ unit product line
Security Camera Trial Conversion Uplift
MARKET PLACEMENT SNAPSHOT

Where this candidate belongs

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Primary lane

Production-grade full-stack development across React, Node.js, and Ruby on Rails. LLM integration & AI workflow orchestration with structured output validation. High-impact performance optimization and user conversion improvements. Production incident response and cross-team reliability leadership.

Strong adjacent lanes

AI/ML Integration Specialist, Full-Stack Engineer, Backend Engineer (Node.js/Rails), Frontend Engineer (React).

Work model

Remote-first. Hybrid considered for high-alignment local roles. Based in Dallas-Fort Worth, US.

Compensation positioning

Targeting $120K+. Currently: Software Engineer.

Fastest close path

Recruiter screen → hiring-manager review → technical conversation around AI-Assisted Product Development, Frontend Performance Optimization, Production Feature Velocity.

Best-fit roles
AI/LLM Integration EngineerFrontend Engineer (React)Full-Stack Software EngineerMid Software EngineerSenior Software Engineer
Industry bridge logic

Ange-Gaelle's work in AI/ML Integration Specialist, Full-Stack Engineer, Backend Engineer (Node.js/Rails) translates directly into adjacent domains with similar architecture, scale, and reliability needs.

Employer-facing guardrails
  • Primary production depth is the candidate's core stack. Other tooling framed as ramp/adjacent unless proven.
  • Leadership framing is technical leadership (mentorship, code review, architectural direction). Formal people-management should be validated per role.
  • Additional interests are personal/research at present, not production claim.
Proof Dossier / Evidence before assertion
PROOF SECTION

Proof is organized by system, not by claim.

The next pages convert the resume into a reusable proof index: production systems, platform architecture, org-wide pattern ownership, and technical leadership.

Systems & Frameworks4
AAI-Assisted Product DevelopmentBuilt Savr mobile app with LLM orchestration, validation layers, and error handling for production use
FFrontend Performance OptimizationReduced latency in high-traffic user flows through TypeScript and API optimization
PProduction Feature VelocityShipped 3-5 production features per quarter at Cisco Meraki
SSecurity Camera Trial Conversion UpliftIncreased conversion from 0.09% to 20.3% across 100K+ unit product line
Powered by Ange-Gaelle Batie at current role > production-grade full-stack development across react, node.js, and ruby on rails > llm integration & ai workflow orchestration with structured output validation > high-impact performance optimization and user conversion improvements > production incident response and cross-team reliability leadership
MASTER PROOF INDEX

Master Proof Matrix

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This reusable proof index maps common senior/staff engineering requirements to candidate proof. Role-specific addenda extend — not replace — this base matrix.

AI-Assisted Product Development
High

Requirement: Deliver on ai-assisted product development at production scale.

Proof: Built Savr mobile app with LLM orchestration, validation layers, and error handling for production use

Fit: direct
Frontend Performance Optimization
High

Requirement: Deliver on frontend performance optimization at production scale.

Proof: Reduced latency in high-traffic user flows through TypeScript and API optimization

Fit: direct
Production Feature Velocity
High

Requirement: Deliver on production feature velocity at production scale.

Proof: Shipped 3-5 production features per quarter at Cisco Meraki

Fit: direct
Security Camera Trial Conversion Uplift
High

Requirement: Deliver on security camera trial conversion uplift at production scale.

Proof: Increased conversion from 0.09% to 20.3% across 100K+ unit product line

Fit: direct
Production-grade full-stack development across React, Node.js, and Ruby on Rails
High

Requirement: Ship work that requires production-grade full-stack development across react, node.js, and ruby on rails.

Proof: Demonstrated at prior roles.

Fit: direct
LLM integration & AI workflow orchestration with structured output validation
High

Requirement: Ship work that requires llm integration & ai workflow orchestration with structured output validation.

Proof: Demonstrated at prior roles.

Fit: direct
CANDIDATE DOCUMENTATION

Technical Proof Catalog

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PROOF EXHIBITS

Visual Evidence Index

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GitHub — public engineering surface

github.com/a-gbatie — public repositories, contribution activity, and open source project surfaces.

Portfolio — HiringFunnel

https://gethiringfunnel.com/u/ange-gaelle-batie

Hosted candidate portfolio with positioning, proof points, and conversion kit surface for recruiter routing.

LinkedIn — professional network

www.linkedin.com/in/ange-gaelle-batie

Professional profile and recruiter connection path.

Personal site

gethiringfunnel.com/u/ange-gaelle-batie

Additional portfolio and technical writing surface.

CONTACT AND CALL-TO-ACTION

Contact Ange-Gaelle Batie

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Ange-Gaelle Batie

Route this candidate now.

This kit is designed to survive internal forwarding. The fastest next step is a recruiter screen, hiring-manager review, referral handoff, or direct call.

Primary fit: AI/LLM Integration Engineer, Frontend Engineer (React), Full-Stack Software Engineer.

Contact block
Phone: (509) 964-3399
Email: ange.batie@gmail.com
Location: Dallas-Fort Worth, US
Portfolio:
https://gethiringfunnel.com/u/ange-gaelle-batie
Email Ange-Gaelle for a recruiter screen

Ask about availability to discuss a senior/staff engineering opportunity.

Forward this candidate internally

Handoff email with routing context for internal referral.

Call Ange-Gaelle

Direct phone action for recruiter screen or same-day routing.

Open portfolio

Persistent candidate surface for routing, resume, and proof surfaces.

View LinkedIn

Professional profile and recruiter connection path.

View GitHub

Public engineering surface, repositories, and OSS project path.

Internal handoff note

Ange-Gaelle Batie is a Dallas-Fort Worth, US-based AI/LLM Integration Engineer. Track record across 0 roles with expertise in . Best fit: AI/LLM Integration Engineer, Frontend Engineer (React), Full-Stack Software Engineer.