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You will get I will clean up scary security alerts in your React or Next.js app
Project details
Security alerts are easy to postpone until they block a deploy, show up in a client review, or make a launch feel unsafe. If your React, Next.js, or Node app has red warnings from a scanner, dependency update bot, audit command, or hosting pipeline, I will help clean them up quickly.
You send the repo or ZIP, alert screenshots or audit output, and the command you use to build or test the app. I make the smallest practical updates, keep the app working, and deliver a PR or patch bundle with plain-English notes on what was fixed, what was checked, and anything that needs a bigger upgrade later.
This is focused cleanup for known alerts, not a full penetration test. It is a fast, practical way to reduce visible risk before a launch, demo, client handoff, production deploy, or security review.
You send the repo or ZIP, alert screenshots or audit output, and the command you use to build or test the app. I make the smallest practical updates, keep the app working, and deliver a PR or patch bundle with plain-English notes on what was fixed, what was checked, and anything that needs a bigger upgrade later.
This is focused cleanup for known alerts, not a full penetration test. It is a fast, practical way to reduce visible risk before a launch, demo, client handoff, production deploy, or security review.
Programming Languages
HTML & CSS, JavaScript, TypeScriptCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$149
|
Standard
$399
|
Advanced
$899
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 0 | 1 | 2 |
Number of Pages | 1 | 1 | 1 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
About Pascal
Systems Architect | SME | Full Stack Developer | 2000+ Hrs AI Coding
Fort Lauderdale, United States - 7:56 pm local time
The value is not that I know a long list of tools. The value is knowing how the pieces should fit, where projects usually fail, and how to move from "interesting demo" to something a client can actually use.
I am Pascal Ledesma, a senior systems architect and founder/operator with 20+ years in software. I work heavily with Claude, OpenAI, Codex-style agents, MCP/tool-calling, RAG, automation, and practical AI adoption. I also still care about the less glamorous parts: clean data flow, deployment, auth, permissions, logs, QA, handoff notes, and not creating a fragile science project.
What I build:
- AI agents, copilots, internal assistants, RAG systems, MCP gateways, agent memory, Obsidian/project brains, voice/chat tools, and AI operating systems
- n8n, Make/Zapier-style automation, APIs, webhooks, CRM workflows, lead routing, enrichment, alerts, reporting, and browser automation
- SaaS platforms, dashboards, portals, admin tools, marketplaces, RBAC, multi-tenant systems, audit logs, and real-time collaboration
- Mobile/web/desktop apps, Flutter and React Native companions, local-first tools, CLI utilities, Tauri apps, and prototype-to-production rebuilds
- Docker, CI/CD, broken deploy repair, dependency/security cleanup, observability, background jobs, queues, S3-style storage, and production hardening
- Data/ML systems, messy CSV cleanup, lead scoring, analytics dashboards, scraping pipelines, imports/exports, and operational reporting
- ESP32/IoT prototypes, BLE/WiFi workflows, firmware support, device dashboards, mobile companions, and hardware-adjacent recovery
How I work:
- Find the real constraint: data shape, state, permissions, deployment, tool limits, team handoff, or scope drift.
- Build the smallest useful loop first, then harden it.
- Show the technology clearly: architecture notes, workflow maps, repo structure, logs, screen captures, and runbooks.
- Explain tradeoffs clearly enough for founders, executives, and developers to make decisions.
Proof lanes include JarvisNano, ZiggyZag, Verrow, KinTunnel, AI operating systems, CRM/client portals, privacy automation, lead quality tooling, Docker-native infrastructure, mobile safety apps, and gig-brain/project memory palace work for proof routing, templates, decisions, and pipeline tracking.
Technology surface:
AI/agents: Claude, OpenAI, Anthropic, Codex-style workflows, MCP, RAG, tool calling, structured output, prompt systems, evals, embeddings, retrieval, vector search, agent memory, Obsidian, knowledge graphs, voice AI, chatbots.
Automation/integration: n8n, Make, Zapier-style flows, REST, GraphQL, webhooks, OAuth, JWT, CRM sync, lead routing, enrichment, alerts, scraping, CSV import/export, document workflows, Google Workspace, Microsoft 365-style ops.
Web/SaaS: TypeScript, JavaScript, React, Next.js, Node, Express/Fastify, Phoenix/Elixir, Python, FastAPI, PostgreSQL, Supabase, SQLite, Redis, WebSockets, real-time systems, RBAC, admin panels, portals, dashboards, marketplaces.
Mobile/desktop/systems: Flutter, Dart, React Native, Expo, Swift, iOS, Kotlin, Android, Rust, Tauri, Zig, shell tools, CLIs, local-first apps, BLE companions, cross-platform releases.
Infra/devops/security: Docker, Docker Compose, Traefik, Linux, GitHub Actions, CI/CD, Vercel, Railway, Fly platform, MinIO, S3-compatible storage, Clerk, Supabase Auth, Stripe, Twilio, Playwright, Vitest, Jest, monitoring, audit logs, Dependabot/security alerts, npm audit, deploy rescue.
Data/ML: Python, pandas, scikit-learn, Kaggle workflows, analytics, operational data pipelines, lead scoring, data cleaning, reporting, dashboards, enrichment, classification, forecasting support.
IoT/hardware: ESP32-S3, BLE, WiFi, firmware workflows, device dashboards, Android companions, embedded AI direction, prototype diagnosis, recovery, and documentation.
Project types I can usually help with quickly: AI CRM assistants, internal copilots, agent dashboards, customer portals, SaaS MVPs, rebuild plans, app rescue, workflow automation, data enrichment, scraper-to-CRM pipelines, Docker cleanup, CI repair, security alert fixes, mobile app companions, BLE device workflows, reporting dashboards, and practical AI training for teams.
Also useful: code reviews, technical due diligence, backlog shaping, founder/executive AI enablement, vendor rescue, and practical documentation.
Credentials: MIT IDSS Data Science and Machine Learning, Anthropic AI Fluency, and 20+ years as a technical lead, systems architect, and founder/operator.
If your project needs someone who can think like an architect, move like a builder, and connect the technical pieces without making the work harder to manage, we may be a good fit.
Steps for completing your project
After purchasing the project, send requirements so Pascal can start the project.
Delivery time starts when Pascal receives requirements from you.
Pascal works on your project following the steps below.
Revisions may occur after the delivery date.
Triage the warnings
Review the alerts, lockfile, package tree, and project constraints.
Patch the practical fixes
Make the smallest safe updates needed to remove or reduce the known warnings.