Ange-Gaelle Batie
- 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
Ange-Gaelle Batie
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.
Route to AI/LLM Integration Engineer, Frontend Engineer (React), Full-Stack Software Engineer teams building high-throughput services in the candidate's core stack.
Where this candidate belongs
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.
AI/ML Integration Specialist, Full-Stack Engineer, Backend Engineer (Node.js/Rails), Frontend Engineer (React).
Remote-first. Hybrid considered for high-alignment local roles. Based in Dallas-Fort Worth, US.
Targeting $120K+. Currently: Software Engineer.
Recruiter screen → hiring-manager review → technical conversation around AI-Assisted Product Development, Frontend Performance Optimization, Production Feature Velocity.
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.
- 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.
Master Proof Matrix
This reusable proof index maps common senior/staff engineering requirements to candidate proof. Role-specific addenda extend — not replace — this base matrix.
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
Requirement: Deliver on frontend performance optimization at production scale.
Proof: Reduced latency in high-traffic user flows through TypeScript and API optimization
Requirement: Deliver on production feature velocity at production scale.
Proof: Shipped 3-5 production features per quarter at Cisco Meraki
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
Requirement: Ship work that requires production-grade full-stack development across react, node.js, and ruby on rails.
Proof: Demonstrated at prior roles.
Requirement: Ship work that requires llm integration & ai workflow orchestration with structured output validation.
Proof: Demonstrated at prior roles.
Technical Proof Catalog
Built Savr mobile app with LLM orchestration, validation layers, and error handling for production use
Reduced latency in high-traffic user flows through TypeScript and API optimization
Shipped 3-5 production features per quarter at Cisco Meraki
Increased conversion from 0.09% to 20.3% across 100K+ unit product line
Mid — role fit: primary.
Mid — role fit: primary.
Mid to Senior — role fit: secondary.
Mid to Senior — role fit: secondary.
Visual Evidence Index
github.com/a-gbatie — public repositories, contribution activity, and open source project surfaces.
https://pypes.dev/ange-gaelle-batie
Hosted candidate portfolio with positioning, proof points, and conversion kit surface for recruiter routing.
www.linkedin.com/in/ange-gaelle-batie
Professional profile and recruiter connection path.
gethiringfunnel.com/u/ange-gaelle-batie
Additional portfolio and technical writing surface.
Contact 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.
https://pypes.dev/ange-gaelle-batie
Fastest way to reach Ange-Gaelle — grab a slot on their calendar.
Persistent candidate surface for routing, resume, and proof surfaces.
Professional profile and recruiter connection path.
Public engineering surface, repositories, and OSS project path.
Additional candidate-owned portfolio and technical writing surface.
Ange-Gaelle Batie is a Dallas-Fort Worth, US-based AI/LLM Integration Engineer. 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. Best fit: AI/LLM Integration Engineer, Frontend Engineer (React), Full-Stack Software Engineer.