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Aurelien GERIER's avatar
Aurelien GERIER
proLos Angeles, USA
Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
$50k+
Earned
5x
Hired
4.9
Rating
100
Followers
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Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
Cover image for HumanData Web Application
HumanData Web Application
0
31
Cover image for Led delivery of a cloud-native
Led delivery of a cloud-native K-12 student wellness platform that helps counselors monitor wellbeing, surface at-risk students, and act early—balancing product velocity with FERPA/COPPA-aware design and multi-tenant isolation (API RBAC, PostgreSQL RLS, district-scoped analytics). → Owned technical direction and delivery rhythm across a TypeScript monorepo (pnpm/Turbo): backend API, web app, shared packages, DB migrations, CI/CD gates, and staged deploys to GCP (e.g. Cloud Run), aligning engineering work with roadmap and release risk. → Orchestrated an AI assistant for counselors on Google Vertex AI (Gemini): system prompts, safety settings for K-12, function-calling tool design, multi-round tool loops, and strict separation so UI widgets render from verified tool results—not model hallucinations—with tracing/feedback hooks (e.g. Langfuse) for quality and auditability. → Drove access-control and compliance posture for sensitive student data: role/permission middleware, tenant-scoped queries, and defense-in-depth database policies—documentation and evidence suitable for enterprise security reviews (e.g. SOC 2–style narratives). → Partnered on product and program management: phased feature rollout, PR/branch discipline, and clear ownership of scope vs. risk so pilot schools could onboard without compromising data boundaries. → Shaped integrations and platform boundaries: Firebase auth, Neon PostgreSQL + Drizzle ORM, real-time patterns, BigQuery analytics isolation, and operational practices (testing, lint, type-check) that keep the stack maintainable at scale. → Established a disciplined, AI-accelerated delivery model—not ad-hoc prompting: Cursor rules and Claude skills/agents for repeatable workflows; Husky + lint/type-check/test gates; GitHub Actions CI/CD; Cursor Cloud Agents for automated PR review; and daily monitoring of E2E, coverage, and critical issues—owning AI-orchestrated implementation while enforcing accuracy, consistency, and observability
0
246
Cover image for Breakjobs.ai
Breakjobs.ai
0
61
Cover image for WhatsApp & RCS Integrated Platform for ParaVet.live
WhatsApp & RCS Integrated Platform for ParaVet.live
1
36
Elasticsearch(1)
Eric Wilborn's avatar
Eric Wilborn
proDallas, USA
Senior Full-Stack Engineer | AI Engineer
$1k+
Earned
1x
Hired
19
Followers
Senior Full-Stack Engineer | AI Engineer
Cover image for Dish Tracking App Development for Foodies
Dish Tracking App Development for Foodies
0
2
Cover image for Development of Appliance-Based SaaS Platform
Development of Appliance-Based SaaS Platform
1
1
Cover image for Development of Real Estate Platform
Development of Real Estate Platform
0
0
Cover image for Amazon Sellers Platform Development
Amazon Sellers Platform Development
0
0
Elasticsearch(1)
Ajay Bidyarthy- AI Full Stack Developer's avatar
Ajay Bidyarthy- AI Full Stack Developer
proDelhi, India
Build production-ready AI applications with Machine Learning
12
Followers
Build production-ready AI applications with Machine Learning
Cover image for A multi-tenant architecture is a
A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.
2
99
Cover image for I’ve worked on building graph
I’ve worked on building graph database solutions to handle complex, highly connected data that traditional relational databases struggle with. The main goal was to model relationships more intuitively and enable faster, more meaningful queries—especially for use cases like recommendations, fraud detection, and network analysis. Tech Stack ✔Graph Databases: Neo4j ✔Query Language: Cypher ✔Backend: Python (FastAPI / Flask) ✔Data Processing: Pandas ✔Visualization: Neo4j Bloom / D3.js ✔Cloud & Deployment: AWS / Docker
1
2
231
Cover image for I design and manage database
I design and manage database systems using Elasticsearch, Neo4j, and Supabase to enable high-speed search, rich data relationships, and scalable backend architectures. My work includes building efficient data models, optimizing performance, and ensuring secure, reliable access. I oversee the full lifecycle—from setup and integration to deployment and continuous optimization.
2
177
Cover image for do database development, with supabase,
do database development, with supabase, firebase, neo4j and elasticsearch
1
280
Elasticsearch(4)
Fernando Ruiz's avatar
Fernando Ruiz
Quito, Ecuador
UX Designer | Simple, profitable user experiences
5.0
Rating
22
Followers
UX Designer | Simple, profitable user experiences
Cover image for WTFAST: Increasing User Activation by 400%
WTFAST: Increasing User Activation by 400%
0
9
Cover image for Visitor Kiosk for Logistics
Visitor Kiosk for Logistics
1
12
Cover image for Kevin Moore's Portfolio
Kevin Moore's Portfolio
0
8
Cover image for Illalri Mindo, a Multi Million Resort Bet!
Illalri Mindo, a Multi Million Resort Bet!
0
5
Elasticsearch(1)