You will get Scalable FastAPI Microservices with AI Model Integration & AWS Deployment

Project details
I design and build production-grade backend systems using FastAPI and async SQLAlchemy that are ready for real workloads — not just prototypes. What makes this project unique is the complete, end-to-end delivery: architecture, database layer, AI/ML integration, AWS deployment, CI/CD automation, documentation, and performance validation.
You’ll get microservices that are modular, scalable, and cloud-ready with clear separation of concerns and best practices used in real SaaS environments. I can integrate NLP or computer vision models (Hugging Face, PyTorch etc.) directly into your API and deploy them securely using AWS (ECS, Lambda, SQS, API Gateway, VPC, IAM, CloudFront, WAF).
This project is ideal for startups, AI-driven platforms, and teams migrating from monoliths to cloud microservices. The delivery includes documentation, diagrams, automated testing, and load testing to ensure reliability before deployment. You receive a backend that is engineered to scale, maintain, and extend over time — not code that needs to be rewritten later.
You’ll get microservices that are modular, scalable, and cloud-ready with clear separation of concerns and best practices used in real SaaS environments. I can integrate NLP or computer vision models (Hugging Face, PyTorch etc.) directly into your API and deploy them securely using AWS (ECS, Lambda, SQS, API Gateway, VPC, IAM, CloudFront, WAF).
This project is ideal for startups, AI-driven platforms, and teams migrating from monoliths to cloud microservices. The delivery includes documentation, diagrams, automated testing, and load testing to ensure reliability before deployment. You receive a backend that is engineered to scale, maintain, and extend over time — not code that needs to be rewritten later.
Web Programming Project
Blockchain Development, Browser Extension, API Development, API Integration, Data DashboardProgramming Languages
PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 0 | 0 | 0 |
Source Code | - | - | - |
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AT
Amtul Quddus T.
Jun 16, 2026
AI Engineer Needed – Small One-Time Task
UU
Umer U.
Jun 13, 2026
AI Chatbot Setup Needed – Small Task
The developer did an excellent job, delivered the project on time, and exceeded expectations with the quality of work and communication.
UU
Umer U.
Feb 5, 2026
Backend Engineer with AI Integration Experience (Short-Term Task)
About Yousaf
AI Engineer | Claude, OpenAI and LLM | AI Agents, Automation & Python
100%
Job Success
Lahore, Pakistan - 9:09 pm local time
Who I am
I am an AI/ML Engineer and Automation Specialist with expertise in machine learning, large language models (LLMs), AI agents, computer vision, workflow automation, and Python development. II build reliable AI systems that solve measurable business problems.
What I Do
1. AI/ML Engineering – Predictive analytics, classification, recommendation systems, anomaly detection, custom ML pipelines, and fine-tuning LLMs such as Llama, Mistral, and OpenAI models on proprietary data.
2. LLM Integration & Agentic AI – LLM powered applications, autonomous AI agents, RAG (retrieval-augmented generation), long-term context, function calling, tool use, and workflow orchestration with OpenAI GPT-4o, Claude, Gemini, Llama, and Mistral.
3. Computer Vision & Edge AI – Real-time object detection, tracking, counting, face recognition, license plate recognition, OCR, ROI/zone logic, and anomaly detection using YOLOv8/v9/x, OpenCV, DeepStream, TensorRT, FAISS, CNNs, and NVIDIA GPUs. I build local and cloud-connected RTSP camera pipelines with alerts, analytics, and structured API outputs.
4. Voice AI & Conversational Systems – Inbound/outbound voice agents using VAPI, Retell AI, and Twilio; AI chatbots for websites, WhatsApp, Slack, and SMS; and omnichannel assistants with shared context.
5. Workflow Automation – n8n, Make, Zapier, and Python automations connecting CRMs, databases, email, Slack, APIs, and business tools. AI workflows include classification, extraction, lead qualification, content generation, alerts, and follow-up actions.
6. Python Development & Backend Systems – RESTful APIs, ETL/data pipelines, web scraping, event-driven services, custom scripts, and AI backends using FastAPI, Django, Flask, Node.js, PostgreSQL, MySQL, MongoDB, and Redis.
Real Systems I Have Built
• Agentic AI Camera Platform – A multi-tenant computer vision system processing live RTSP streams on NVIDIA GPUs. When anomalies such as smoke, fire, falls, accidents, or security events are detected, the agentic workflow gathers context, stores incidents in dedicated tables, triggers alerts, generates summaries, calls APIs, and performs configured workflow tasks.
• Parking & Traffic Intelligence – Vehicle classification, tracking, and counting for multi-storey buildings and mall parking. The system distinguishes cars and motorcycles, detects entry/exit direction, wrong-way movement, possible collisions, and parking-space availability.
• Claude Video Production Automation – Built a reusable Claude Code, Skills, Cowork, and AI agent pipeline converting PPTX and YouTube research into scripts, image/video prompts, voiceovers, timed scenes, Shorts, and CapCut-ready videos.
• So Special Mobile Mechanic – AI powered mobile and operations platform with dispatch, customer tracking, automated notifications, and backend dashboards.
• AL Arabi Company – Dispatch system for operations and maintenance with real-time job assignment, status tracking, and reporting.
• Mystical Agency & Intero Digital – AI automation and proposal-generation systems that reduced proposal creation time from two days to under two hours.
• Clinic WhatsApp Automation – AI chatbot for appointment booking, prescription reminders, FAQs, and patient follow-ups integrated with scheduling.
• E-commerce Recommendation Engine – Custom ML model using browsing and purchase history.
Technology Stack
Languages: Python, JavaScript/Node.js, SQL
ML/AI: TensorFlow, PyTorch ecosystem tools, scikit-learn, Hugging Face, LangChain, LlamaIndex, YOLOv8/v9/x, OpenCV, DeepStream, TensorRT, Faiss, CNNs
LLMs: OpenAI GPT-4o, Claude, Gemini, Llama, Mistral
LLM Quality: response evaluation, prompt analysis, output validation, edge-case testing, task decomposition
AI Video Automation: Claude Code, Claude Skills, Claude Cowork, AI agents, PPTX-to-video, Canva, CapCut, Gemini Flow, Veo 3
Automation: n8n, Make, Zapier
Voice AI: VAPI, Retell AI, Twilio
Vector Databases: Pinecone, Weaviate, Chroma, FAISS
Backend/Data: FastAPI, Django, Flask, REST APIs, PostgreSQL, MySQL, MongoDB, Redis, Pandas, NumPy, SQLAlchemy
Cloud/DevOps: AWS SageMaker, Lambda, EC2, ECS, S3, GCP Vertex AI, Azure, Docker, Docker Compose, GitHub Actions, Linux
How I Work
I begin with discovery to define goals, inputs, risks, and success criteria. I then design, build, test, and refine the solution with your team before deployment, handover, and documentation.
Ideal Clients
You are a strong fit if you need AI/ML models, computer vision, AI voice agents, LLM chatbots, autonomous AI agents, RAG, workflow automation, API integrations, custom backends, or production-ready systems that replace manual work.
Let’s Talk
Send me a message or invite me
Steps for completing your project
After purchasing the project, send requirements so Yousaf can start the project.
Delivery time starts when Yousaf receives requirements from you.
Yousaf works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Please provide all the requirements to start the project