$ ./services.sh --listing

How I Can Help

I build AI tools, autonomous agents, automation pipelines, and production web apps — from quick MVPs to enterprise-grade systems. Independent senior engineer — hands-on, end-to-end, accountable to outcomes.

available for work — 2 slots open

Have a project in mind? Let's talk before scope creep eats your roadmap.

Start a project→WhatsApp →

01. What I Build

_01

AI Tools & Agents

/* LLM · LangChain · LangGraph · CrewAI */

From a simple chatbot widget to autonomous multi-step agents that read your docs, query your APIs, and act on behalf of users. Built with RAG, vector stores, and the right model for the job (GPT-4o, Claude, Gemini, open-source).

▹Custom chatbots with RAG over your knowledge base
▹Autonomous agents (LangGraph / CrewAI) for research, support, ops
▹Internal copilots that integrate with your stack
▹AI-powered search, summarization, classification
▹Voice and multilingual support

_02

Automation & Workflows

/* n8n · BullMQ · custom pipelines */

Replace manual ops with reliable automation. n8n for visual workflows where the team can see and tweak, or hand-coded Node/Python pipelines when you need fine control and high throughput.

▹n8n setup, self-hosting, queue mode, and version-controlled workflows
▹Custom job pipelines with BullMQ + Redis on Node.js
▹Third-party API integrations and webhook plumbing
▹AI-augmented automation (LLM in the loop where it matters)
▹Migration off Zapier / Make to self-hosted alternatives

_03

Full-Stack Web Apps

/* Next.js · React · NestJS · Node */

Production-grade SaaS, dashboards, admin tools, and customer-facing portals. End-to-end ownership: design, backend, frontend, deployment, observability.

▹Multi-tenant SaaS with auth, billing, and admin
▹Internal dashboards, CRMs, ops tooling
▹Marketing sites with CMS-driven content
▹Mobile-responsive, accessible, fast
▹TypeScript end-to-end, typed contracts (tRPC, OpenAPI)

_04

Backend APIs & Microservices

/* NestJS · FastAPI · PostgreSQL · Redis */

REST and GraphQL APIs, microservices, event-driven backends. PostgreSQL by default, Redis for queues and cache, Docker for portability, AWS / Vercel / Railway for deployment.

▹NestJS / Node.js REST and GraphQL APIs
▹Python FastAPI services for AI / data workloads
▹Event-driven architectures with message queues
▹Auth (OAuth2, JWT, sessions) and RBAC
▹Observability: logs, metrics, traces, alerts

_05

Cloud Infrastructure & DevOps

/* AWS · Docker · CI/CD · Terraform */

Deploy and operate the systems I build — or take over what you already have. AWS-first, with Docker as the unit of deploy and GitHub Actions for CI/CD.

▹AWS architecture (ECS, RDS, S3, CloudFront, KMS)
▹Docker + docker-compose for local and prod parity
▹CI/CD pipelines (GitHub Actions, GitLab CI)
▹Database design, migrations, backups, PITR
▹Cost optimization and performance audits

_06

Migrations & Modernization

/* Legacy → Modern · Refactor · Rescue */

Stuck on a legacy stack? PHP monolith melting under load? Spreadsheet-driven ops? I migrate to modern, maintainable systems without freezing the business.

▹Legacy PHP / monolith → Node / NestJS / microservices
▹Spreadsheet workflows → web + mobile SaaS
▹Desktop-only tools → multi-tenant cloud platforms
▹Failing or under-tested codebases → stable, covered, documented
▹Phased rollouts with feature flags and parallel runs

02. Impact in Numbers

What clients typically see after the first wave of AI + automation ships: lower operational cost, hours reclaimed for high-leverage work, and capacity to grow without growing headcount.

65%

ops cost reduction

within 12 months

320h

reclaimed monthly

per automation rollout

3.5×

throughput uplift

same team, more output

// operational_cost.csv

Cost as % of baseline · 12-month trajectory after rollout

↓ 65% by M12

// hours_saved.json

Team hours reclaimed per month, broken down by workflow category

~335h/mo total

// before_vs_after.diff

Median time to complete common ops tasks — manual vs AI-augmented

// figures are typical outcomes from past engagements — actual results depend on scope and starting baseline.

03. How We Can Work Together

Fixed-Scope Project

Defined deliverable, agreed timeline, fixed price. Best for MVPs, AI pilots, and well-scoped features.

Hourly / Time & Materials

For ongoing work, R&D, or anything where scope evolves. Transparent weekly reporting.

Monthly Retainer

Reserved capacity each month for product, maintenance, and on-call. Fastest response, lowest friction.

Advisory / Code Review

A second pair of eyes on architecture, AI integrations, or hiring decisions. Hourly or per-engagement.

// not sure which fits? mention it in the message — I'll suggest the right one.

04. Process

Discovery

30-min call. What you want to build, what success looks like, where the risks are.

Proposal

Scope, milestones, timeline, and price — usually within 48h. No surprise invoices.

Build

Weekly demos, async updates, working software you can poke at. No theatre.

Ship & Support

Deployment, handover, docs. Optional retainer for what comes next.

05. Who I Work Best With

Startup founders

Need a senior engineer to ship the first version or rebuild the second.

Growing SaaS teams

Need extra capacity on AI features, automation, or platform work.

Enterprises

Need a specialist for AI integration, legacy migration, or platform rescue.

start.sh

$ ./start.sh --reach-out

Let's build something.

The fastest path is a short message describing what you want to build and when you'd like it done. I'll reply within 24–48h with a plan or honest follow-up questions.

Send a message→WhatsApp me →Email →