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You will get Your Django app Optimized - 5x Speed in 14 Days (Money-Back Guarantee!)
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šš¬ š²šØš®š« šš£šš§š šØ šš©š© šššš¢š§š š¬š„šØš° š„šØššš¢š§š šš¢š¦šš¬? It might be suffering from performance bottlenecks, inefficient caching, or unoptimized images. Besides slow loading, you may encounter frequent crashes, unresponsive features, and inconsistent performance across devices and browsers. This clunky interface frustrates users, driving them to faster alternatives and tarnishing your brand's reputation.
šš©šš¢š¦š¢š³ššš¢šØš§ š¢š¬ š¤šš² ššØ ššš„š¢šÆšš« š š¬ššš¦š„šš¬š¬ š®š¬šš« šš±š©šš«š¢šš§šš šš§š š®š©š”šØš„š š²šØš®š« šš«šš§š. Imagine your app loading in under 300 milliseconds, providing a lightning-fast and responsive experience that captivates users and boosts engagement.
To achieve this, I offer:
ā Boosted app speed for improved engagement.
ā Sub-300ms infrastructure expertise for a solid speed foundation.
ā Efficient caching to reduce database load and enhance load times.
ā Image optimization for faster loading, especially on mobile.
What I need to get started:
ā Temporary access to your Django application.
ā An overview of your app's functionalities and specific performance concerns.
šš©šš¢š¦š¢š³ššš¢šØš§ š¢š¬ š¤šš² ššØ ššš„š¢šÆšš« š š¬ššš¦š„šš¬š¬ š®š¬šš« šš±š©šš«š¢šš§šš šš§š š®š©š”šØš„š š²šØš®š« šš«šš§š. Imagine your app loading in under 300 milliseconds, providing a lightning-fast and responsive experience that captivates users and boosts engagement.
To achieve this, I offer:
ā Boosted app speed for improved engagement.
ā Sub-300ms infrastructure expertise for a solid speed foundation.
ā Efficient caching to reduce database load and enhance load times.
ā Image optimization for faster loading, especially on mobile.
What I need to get started:
ā Temporary access to your Django application.
ā An overview of your app's functionalities and specific performance concerns.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included $2,999
These options are included with the project scope.
$2,999
- Delivery Time 14 days
- Number of Revisions 0
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Truly a dream to work with and we'll definitely be working with this team in the future
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Sirivisa C.
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Marta T.
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Very nice job and great collaboration!
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Gael R.
Aug 24, 2021
Python coding of versatile crawling/scraping system with GraphQL API, django, dgraph
Ahmed is very efficient and knows a variety of techniques that he can use to build or improve a complex system.
We'll keep working with him for sure!
Thank you Ahmed.
We'll keep working with him for sure!
Thank you Ahmed.
About Ahmed
Full Stack AI Engineer | Python, Claude Code, MCP, RAG, LangChain
100%
Job Success
Lahore, PakistanĀ - 7:51 am local time
Most AI projects stall right after the demo. The demo works because someone tested it with five clean inputs. Then real users arrive with messy questions, retrieval returns nothing useful, the agent loops, the integration silently fails, and nobody can tell which layer broke. The problem is not the model. It is the layer around it: retrieval quality, state management, error handling, and the integrations nobody scoped. That is exactly what I build, and handed over so your team owns it.
šš”šš š šš®š¢š„š:
ā šš šš§šš¢š šš & šš®š„šš¢-šš šš§š šš²š¬ššš¦š¬ - Autonomous agents that plan, call tools, and finish multi-step work end to end. Built in Python with LangChain and LangGraph, with human-in-the-loop checkpoints wherever a wrong answer costs you something.
ā šš ššØš¢šš šš šš§šš¬ - Agents that answer the phone, qualify the caller, book the appointment, and escalate to a human only when it matters. Sub-2-second latency, stateful across the whole call, wired into your CRM and booking system.
ā ššš & šš§šØš°š„ššš š šššš«š¢ššÆšš„ - Chunking strategy, reranking, and evals built in from the first commit. A RAG system that confidently invents answers is worse than no RAG at all, so this is where I spend the most time.
ā ššš ššš«šÆšš«š¬ & ššØšØš„ šš§ššš š«ššš¢šØš§ - Your systems exposed as callable tools with permissions and usage tracking. Gmail, Drive, Calendar, Slack, Notion, HubSpot, Salesforce, Airtable, Asana, Jira, Linear, GitHub, Zapier, Make, n8n, or your own internal API.
ā šš„šš®šš ššØšš ššØš«š¤šš„šØš°š¬ - Agentic coding set up properly: Skills for recurring work, project context that persists, repo-level automation. Fast delivery without the mess that usually comes with it.
ā ššØšš®š¦šš§š šš§ššš„š„š¢š šš§šš - OCR and extraction pipelines that turn PDFs, emails, and forms into structured records. 97% extraction accuracy in production, 100% reduction in manual data entry.
ā šššš¤šš§š, šššš¬ & ššš¬š”ššØšš«šš¬ - The AI is rarely the whole job. Auth, billing, async queues, admin panels, and the deployment. You get a product, not a notebook.
ā ššš„š¢ššš¢š„š¢šš² ššš²šš« - Evals, logging, cost tracking, and fallback handling, so you find out a prompt regressed from a dashboard instead of from a customer.
šš”šš ššØš°šš«š¬ šš² šš®š¢š„šš¬:
ššØš«š: Python, Claude Code, Claude API (Opus & Sonnet), Claude Skills, MCP, prompt and context engineering.
šš šš§šš¬ & šš«šš”šš¬šš«ššš¢šØš§: LangChain, LangGraph, CrewAI, MCP, multi-agent workflows.
ššØš¢šš & ššš„šš©š”šØš§š²: Deepgram, ElevenLabs, Twilio, WhatsApp Business API, real-time streaming.
ššš & šššššØš« šš: Chroma, Weaviate, FAISS, Pinecone, pgvector, LangSmith evals, long-term memory.
ššš”šš« šššš¬: GPT-4o, Codex, Gemini, LLaMA 3 (when a build calls for them).
šššš¤šš§š & š š®š„š„ ššššš¤: FastAPI, Django, Flask, React, Next.js, React Native, Tailwind.
šš®ššØš¦ššš¢šØš§ & šš§ššš š«ššš¢šØš§: n8n, Zapier, Make, custom API connectors.
šš§šš«š: Docker, Postgres, Redis, Celery, AWS.
ššššš§š ššš¬š®š„šš¬:
āļø šššÆšš š ššØš§ššØš§ š”šØš¬š©š¢ššš„š¢šš² š š«šØš®š© Ā£30,000 š š²ššš« - Built their voice and WhatsApp agent end to end. Intent accuracy went from 85% to over 90%, human escalations dropped 30%, and response latency fell from 3-4 seconds to 1.7.
āļø ššš©š„šššš š $75,000/š²ššš« šššš š¬šššš¤ š°š¢šš” š $20,000/š²ššš« š¢š§-š”šØš®š¬š šš®š¢š„š - Ten autonomous Python agents for a US software company, cutting projected ops costs by over 70%.
āļø 42š± ššš¬ššš« š«šš©šØš«šš¬ šš 98% š„šØš°šš« ššØš¬š - A LangChain research platform for a firm that was spending weeks on work their clients needed in hours.
āļø šš®š«š§šš 9 š²ššš«š¬ šØš š¦šš§š®šš„ š«šš¬ššš«šš” š¢š§ššØ š”šØš®š«š¬ - A consulting firm had spent nearly a decade building a 20,000-company database by hand. It now runs on demand.
šš”š² šš„š¢šš§šš¬ šš¢š«š šš:
āļø One engineer, whole stack. No AI specialist who cannot deploy, no backend dev who does not understand retrieval, no seam where the blame lives.
āļø No demos. Demos work on five clean inputs; I build for the messy ones.
āļø Evals from day one, not bolted on after something breaks in front of a customer.
āļø Real numbers from systems running in production, not portfolio screenshots.
āļø Business outcomes over technical complexity.
ššš'š¬ ššØš«š¤ ššØš ššš”šš« šš:
Your AI feature is stuck at the demo stage, your voice agent takes messages instead of booking appointments, your RAG system answers confidently and wrongly, or you are starting fresh and want it built once, by someone who will still be there when it needs to scale.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1:
What I Need to Get Started: ā Temporary access to your Django application. ā A brief overview of your app's functionalities and any specific performance concerns.