You will get Smart Automation Platform with ML Integration
Rising Talent
Project details
Enterprise Automation & ML Solutions That Scale
I build production-ready intelligent automation platforms that eliminate operational bottlenecks and drive measurable growth. With 5+ years engineering scalable systems and leading cross-functional teams, I deliver end-to-end solutions that work.
Core Expertise:
Smart Automation – n8n workflows + OpenAI API integration reducing manual work by 70%
Robust Backends – FastAPI/Express.js APIs optimized for performance and scale
Modern Frontends – React/Next.js applications with seamless UX
ML Integration – Real-time predictive analytics, computer vision, and NLP models
Proven Impact:
Deployed cloud-native apps (AWS/Azure) serving 100K+ concurrent users
Reduced deployment cycles 60% through optimized CI/CD pipelines
Built real-time data processing across PostgreSQL, MongoDB, Firebase
Always Included:
Clean architecture • Comprehensive documentation • Rigorous testing • Secure OAuth2/JWT authentication • Production monitoring
From workflow automation to predictive analytics, I deliver maintainable solutions that scale with your business.
I build production-ready intelligent automation platforms that eliminate operational bottlenecks and drive measurable growth. With 5+ years engineering scalable systems and leading cross-functional teams, I deliver end-to-end solutions that work.
Core Expertise:
Smart Automation – n8n workflows + OpenAI API integration reducing manual work by 70%
Robust Backends – FastAPI/Express.js APIs optimized for performance and scale
Modern Frontends – React/Next.js applications with seamless UX
ML Integration – Real-time predictive analytics, computer vision, and NLP models
Proven Impact:
Deployed cloud-native apps (AWS/Azure) serving 100K+ concurrent users
Reduced deployment cycles 60% through optimized CI/CD pipelines
Built real-time data processing across PostgreSQL, MongoDB, Firebase
Always Included:
Clean architecture • Comprehensive documentation • Rigorous testing • Secure OAuth2/JWT authentication • Production monitoring
From workflow automation to predictive analytics, I deliver maintainable solutions that scale with your business.
Machine Learning Tools
AnyLogic, ChatGPT, GitHub Copilot, Google Sheets, Microsoft Excel, MLflow, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, Vertex AIWhat's included
| Service Tiers |
Starter
$75
|
Standard
$450
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 4 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 2 | 3 | 7 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $500
Additional Scenario
(+ 2 Days)
+$100
Model Documentation
(+ 5 Days)
+$300
Source Code
(+ 1 Day)
+$300
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A-
A -.
May 2, 2026
Develop Meeting Assistance App For Desktop
MA
Ma A.
Mar 29, 2026
N8N workflow optimisation and agentic rag setup
Working with this freelancer was an outstanding experience from start to finish. He demonstrated a deep, hands-on expertise in n8n and AI agentic workflow design that went far beyond what we expected.
They architected and delivered a complex, production-grade automation system that integrated LLM-powered agents (OpenAI + Anthropic), a fully functional RAG pipeline with Pinecone, and seamless third-party API connections all within the agreed timeline.
What truly set them apart was their attention to reliability: every workflow included proper error handling, retry logic, and clean documentation that made handoff effortless. Their understanding of AI agent architectures tool-calling, memory management, and multi-step reasoning was genuinely impressive.
Communication was proactive, professional, and clear throughout. They flagged potential issues early and always came with solutions, not just problems.
If you need someone who can turn complex AI automation ideas into scalable, realworld systems this is your person. We will absolutely be working together again.
They architected and delivered a complex, production-grade automation system that integrated LLM-powered agents (OpenAI + Anthropic), a fully functional RAG pipeline with Pinecone, and seamless third-party API connections all within the agreed timeline.
What truly set them apart was their attention to reliability: every workflow included proper error handling, retry logic, and clean documentation that made handoff effortless. Their understanding of AI agent architectures tool-calling, memory management, and multi-step reasoning was genuinely impressive.
Communication was proactive, professional, and clear throughout. They flagged potential issues early and always came with solutions, not just problems.
If you need someone who can turn complex AI automation ideas into scalable, realworld systems this is your person. We will absolutely be working together again.
About Ali
Senior AI Software Engineer | LLM Systems, DevOps & Automation
100%
Job Success
Islamabad, Pakistan - 3:30 am local time
I design and ship production AI systems — not prototypes. Over 5+ years I've built multi-agent LLM applications, RAG pipelines, and full-stack products that run reliably in real-world production, and I've led the engineering teams that delivered them.
If you need someone who can architect intelligent automation, own the cloud infrastructure end-to-end, and lead delivery with zero hand-holding, you're in the right place.
What I do
🤖 AI & Multi-Agent Systems
I build multi-agent LLM applications using LangChain, LangGraph, Crew AI, and the OpenAI API — with RAG pipelines, vector search, and real-time agent orchestration. From standardizing agent response contracts to wiring agents into live frontends, I deliver AI that actually works in production.
⚙️ DevOps & Cloud Infrastructure
End-to-end infrastructure on AWS (EC2, S3) and Azure (Functions, Container Apps). Docker containerization, GitHub Actions CI/CD, Nginx/Traefik reverse proxies, and Linux server administration. I've cut deployment times from 45 minutes to under 10 per release using reusable infrastructure templates adopted org-wide.
💻 Full-Stack Web Development
React.js, Next.js, TypeScript, and Tailwind on the frontend. FastAPI, Express.js, and Django on the backend. PostgreSQL, MongoDB, MySQL, Firebase, Supabase, and Redis for data. I own the entire stack — no handoffs.
📱 Cross-Platform Mobile
iOS and Android apps with Flutter and React Native, using GetX, Provider, and BLOC for state management — from Figma design to store deployment.
Selected projects
▸ Changemkr — Multi-Agent AI Copilot (Digital Transformation Platform)
Designed and built a multi-agent backend deployed on Azure Container Apps, powering an AI copilot for an organizational maturity-assessment platform. Integrated it into a Next.js 15 frontend via a dedicated chat surface and standardized the end-to-end interaction flow (thread history, query processing, response contract) for a predictable, smooth user experience.
▸ Meeting Assistant — AI Desktop Application
Built a cross-platform Electron.js + React.js app with multi-agent orchestration via LangGraph — coordinating agents for transcription, summarization, action items, and sentiment analysis. Features real-time transcription with speaker diarisation via Deepgram, plus long-term vector memory using MongoDB Atlas for context recall across sessions.
▸ Real-Time Collaborative SaaS Platform
Engineered a full project-management SaaS with live task tracking, team chat, role-based access control, and analytics. Deployed via Docker on Linux VPS with Nginx, with CI/CD cutting release time from 45 minutes to under 10.
Why clients choose me
✔ I lead, not just execute. I've managed cross-functional teams of 3–7 engineers, owned architecture decisions, run sprint planning, and served as the primary technical point of contact for clients.
✔ I build systems, not just features. I authored a company-wide engineering handbook standardizing CI/CD, coding standards, and branching strategy — cutting onboarding time by ~50%.
✔ I deliver consistently. 5+ years across multiple companies, every project shipping on schedule with documentation, testing, and a clean handoff.
✔ I communicate clearly. I translate complex technical decisions into plain language. No jargon, no surprises — you'll always know exactly where the project stands.
Tech stack
AI/ML: LangChain · LangGraph · Crew AI · OpenAI API · RAG · Vector Search · Deepgram · n8n
Cloud/DevOps: AWS EC2/S3 · Azure Functions/Container Apps · Docker · GitHub Actions · Nginx · Traefik
Frontend: React.js · Next.js · TypeScript · Tailwind · Electron.js
Backend: FastAPI · Express.js · Django · WebSockets · GraphQL · REST
Mobile: Flutter · React Native · GetX · Provider
Databases: PostgreSQL · MongoDB · MySQL · Firebase · Supabase · Redis
📩 Need an engineer who can architect intelligent systems, own infrastructure end-to-end, and lead technical delivery with precision? Send me a message — I'm ready to start.
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Architecture Design
Consultation to understand automation needs, data sources, and business processes. I'll map out workflow architecture, identify integration points, and deliver a detailed automation blueprint with timeline and milestones.
Automation Development & ML Integration
Build custom automation workflows, configure triggers and actions, integrate APIs and data sources, connect ML models (OpenAI/custom), implement error handling, and establish secure data synchronization pipelines.