You will get AI Integration Sprint for Your SaaS (GCP-ready)
Project details
Add production-ready LLM features to your existing SaaS in a fixed-scope sprint, built with GCP-friendly patterns (Cloud Run–ready, secrets, deployable build). You get working features integrated into your backend/API (optional UI touchpoints), plus guardrails, tests, logging, and clear handoff notes.
Examples:
summarization (tickets/calls/docs),
rewrite/draft (emails/content),
classification/triage (routing/tagging),
semantic search (± vector DB),
structured extraction/autofill (JSON).
Always included:
1. Provider integration (OpenAI/Claude/Vertex/compatible)
2. Secure API wiring (auth/secrets/errors)
3. Prompt + schema/validation
4. Observability basics (logs/metrics hooks + redaction guidance)
5. Test script + run/install steps
6. PR-ready code (or patch).
Tiers:
A) Starter: 1 feature + 1 integration; basic logs + deploy-ready build.
B) Standard: 2 features + 2 integrations; injection hardening, rate limits, structured outputs; small eval + report; cost/latency tuning.
C) Advanced: 3 features (or 2 complex) + 3 integrations; Cloud Run deploy support + monitoring; optional async pipeline (Pub/Sub/Cloud Tasks); richer eval + regression checks.
Examples:
summarization (tickets/calls/docs),
rewrite/draft (emails/content),
classification/triage (routing/tagging),
semantic search (± vector DB),
structured extraction/autofill (JSON).
Always included:
1. Provider integration (OpenAI/Claude/Vertex/compatible)
2. Secure API wiring (auth/secrets/errors)
3. Prompt + schema/validation
4. Observability basics (logs/metrics hooks + redaction guidance)
5. Test script + run/install steps
6. PR-ready code (or patch).
Tiers:
A) Starter: 1 feature + 1 integration; basic logs + deploy-ready build.
B) Standard: 2 features + 2 integrations; injection hardening, rate limits, structured outputs; small eval + report; cost/latency tuning.
C) Advanced: 3 features (or 2 complex) + 3 integrations; Cloud Run deploy support + monitoring; optional async pipeline (Pub/Sub/Cloud Tasks); richer eval + regression checks.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Google AutoML, Keras, MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$799
|
Standard
$1,699
|
Advanced
$2,999
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $300Frequently asked questions
About Aqeel Abbas
AI Product Engineer | MVPs, LLM Apps, Agents & Automation
Islamabad, Pakistan - 5:42 pm local time
AI tools can now create impressive demos quickly. But turning those demos into real products still requires strong engineering: clean architecture, reliable backend logic, secure authentication, payments, databases, APIs, deployment, monitoring, and code your team can actually maintain.
That is where I help.
I work across AI, automation, and full-stack product engineering to build software that does not just look good in a demo, but works for real users in production.
5+ years | AI products | SaaS platforms | Automation systems | Production engineering
---
WHERE I ADD THE MOST VALUE
AI PROTOTYPES TO PRODUCTION
Have an MVP built with ChatGPT, Cursor, Lovable, Bolt, Replit, v0, or another AI tool? I can audit it, clean it up, fix broken flows, improve the architecture, and make it ready for real users.
I help with codebase reviews, backend refactoring, database design, authentication, payments, deployment, bug fixing, and launch-readiness planning.
LLM APPS, AGENTS & RAG SYSTEMS
GPT-4, Claude, and open-source LLM applications built for practical use cases. I can help with AI copilots, agentic workflows, RAG pipelines, citations, tool/function calling, prompt engineering, evaluation, guardrails, and cost/latency optimization.
My focus is not just building a chatbot. I build AI systems that fit into real business workflows.
AI AUTOMATION & WORKFLOW INTELLIGENCE
I help businesses automate repetitive operations across support, sales, reporting, document review, internal admin, and customer workflows.
This can include LLM-powered workflows, API integrations, n8n, Make, Zapier, Python services, webhooks, queues, human approval steps, and internal dashboards.
If a process is repetitive, rule-based, or document-heavy, there is usually a strong automation opportunity.
FULL-STACK SAAS & MARKETPLACE DEVELOPMENT
I build and improve SaaS platforms, marketplaces, booking systems, dashboards, admin panels, and internal tools.
I can help with React/Next.js frontends, Node.js/Express APIs, PostgreSQL databases, Prisma, role-based access, Stripe payments, Stripe Connect, real-time updates, push notifications, deployment, and production debugging.
This is especially useful when your AI feature needs to be wrapped inside a complete product.
COMPUTER VISION & DOCUMENT AI
YOLO-based detection, tracking, and classification. OCR pipelines with preprocessing, document extraction, validation, and clean REST API deployment for web or mobile applications.
MODEL TRAINING & MLOps
Dataset preparation, training jobs, fine-tuning, model registry, scalable endpoints, batch and online inference, monitoring, and CI/CD for reproducible AI deployments using Google Cloud and Vertex AI.
---
TECH I WORK WITH
OpenAI, Anthropic Claude, LangChain, LlamaIndex, Vertex AI, ChromaDB, Pinecone, YOLO, Tesseract, Python, Node.js, Express, React, Next.js, TypeScript, PostgreSQL, Prisma, Flutter, Firebase, GCP, Cloud Run, GKE, BigQuery, Pub/Sub, Docker, CI/CD, REST APIs, webhooks, and automation tools.
---
HOW I WORK
I start with your business goal, not just the tech stack.
I help you understand what should be built, what should be automated, what can be fixed, and what needs to be rebuilt properly.
You can expect:
Clear communication
Clean, maintainable code
Practical technical guidance
Version-controlled delivery
Regular demos and progress updates
Honest scope and tradeoff discussions
Post-launch support when needed
---
BEST FIT PROJECTS
AI-generated MVP cleanup
Prototype to production conversion
LLM app development
RAG and AI agent systems
SaaS and marketplace development
AI workflow automation
Stripe payment and payout integrations
Admin dashboards and internal tools
Backend API and database architecture
Production debugging and technical audits
---
READY TO BUILD?
Tell me what you are building, what you already have, and where you are stuck.
I will help you turn your idea, prototype, or AI-generated MVP into a reliable product that is ready for real users.
Steps for completing your project
After purchasing the project, send requirements so Aqeel Abbas can start the project.
Delivery time starts when Aqeel Abbas receives requirements from you.
Aqeel Abbas works on your project following the steps below.
Revisions may occur after the delivery date.
Technical intake & repo audit
Review your current SaaS architecture, auth model, and target workflow. Confirm the LLM feature(s) to implement, success criteria, constraints (PII/policy), and the GCP/Cloud Run readiness baseline.
Sprint plan + solution design
Produce a short implementation plan: endpoints/UI touchpoints, prompt + structured output schema, guardrails approach, logging/telemetry plan, and cost/latency budget. Define test/eval cases from your sample data.