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Sergio Pereyra's avatar
Sergio Pereyra
Frankfurt, Germany
Full-Stack Engineer | React Native, Supabase & AI Product Bu
$1k+
Earned
3x
Hired
5.0
Rating
47
Followers
Full-Stack Engineer | React Native, Supabase & AI Product Bu
Cover image for Glewee - Influencer Marketing SaaS Platform
Glewee - Influencer Marketing SaaS Platform
0
6
Cover image for Took Beepr from Capacitor WebView
Took Beepr from Capacitor WebView prototype to production React Native + Expo Bare. Audited 51 Supabase Edge Functions, rebuilt background geolocation for native, added PostGIS. Zero downtime. 100% background geolocation reliability. If your app outgrew its prototype, DM me.
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17
Cover image for One thing I learned migrating
One thing I learned migrating a mobile product from a WebView MVP to React Native: the hardest problems usually aren't the screens. On Beepr, the real blockers were background execution, geolocation reliability, push notifications, slow geospatial queries, and backend logic that had grown without a clear audit trail. I led the migration to React Native with Supabase, PostgreSQL, PostGIS, and native background capabilities. I also audited 51 Supabase Edge Functions and designed a zero-downtime cutover so the product could keep serving users during the transition. The takeaway: before rebuilding a mobile app, find out which problems are architectural and which are merely visual. A prettier interface won't fix unreliable background services, weak location enforcement, or slow queries. Curious what other teams have found when moving from a WebView-based MVP to a production mobile app. 8:58
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115
Cover image for NextBlock - Blockchain SaaS ($250K in 2 Months)
NextBlock - Blockchain SaaS ($250K in 2 Months)
0
21
Elasticsearch(1)
Aurelien GERIER's avatar
Aurelien GERIER
proLos Angeles, USA
Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
$50k+
Earned
6x
Hired
4.9
Rating
112
Followers
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Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
Cover image for HumanData Web Application
HumanData Web Application
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36
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
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376
Cover image for Breakjobs.ai
Breakjobs.ai
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69
Cover image for WhatsApp & RCS Integrated Platform for ParaVet.live
WhatsApp & RCS Integrated Platform for ParaVet.live
1
45
Elasticsearch(1)
Eric Wilborn's avatar
Eric Wilborn
proDallas, USA
Senior Full-Stack Engineer | AI Engineer
$1k+
Earned
1x
Hired
21
Followers
Senior Full-Stack Engineer | AI Engineer
Cover image for Dish Tracking App Development for Foodies
Dish Tracking App Development for Foodies
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3
Cover image for Multi-Agent AI Automation Platform Development
Multi-Agent AI Automation Platform Development
0
4
Cover image for Healthcare AI System Development
Healthcare AI System Development
0
5
Cover image for CORE banking system Development
CORE banking system Development
2
16
Elasticsearch(1)
Ajay Bidyarthy's avatar
Ajay Bidyarthy
Delhi, India
AI Solutions, Software Architect, AI Agents, Fractional CTO
14
Followers
AI Solutions, Software Architect, AI Agents, Fractional CTO
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.
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118
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
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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.
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194
Cover image for do database development, with supabase,
do database development, with supabase, firebase, neo4j and elasticsearch
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313
Elasticsearch(4)