You will get a Production-Grade AI Agent Built End to End
Project details
Most AI initiatives stall at the gap between a working demo and a production system. Demos do not handle edge cases, do not integrate with real systems, do not monitor themselves, and do not survive the first contact with actual users. This listing is for founders and operators who need that gap closed.
I build agentic AI systems that operate autonomously against your real infrastructure. Not chatbots. Not dashboards. Systems that reason, delegate, and execute against your CRM, your codebase, your inbox, your pipeline. Orchestration is handled through CrewAI and LangGraph. Tool integration is built on the Model Context Protocol. Custom machine learning is developed in PyTorch when the problem warrants it.
Every engagement ships working software deployed to your environment, with documentation, source code, and (on Standard and Advanced tiers) post-launch support. Best suited to funded startups and established SMBs who have scoped their agent use case and need senior architecture to execute it reliably.
I build agentic AI systems that operate autonomously against your real infrastructure. Not chatbots. Not dashboards. Systems that reason, delegate, and execute against your CRM, your codebase, your inbox, your pipeline. Orchestration is handled through CrewAI and LangGraph. Tool integration is built on the Model Context Protocol. Custom machine learning is developed in PyTorch when the problem warrants it.
Every engagement ships working software deployed to your environment, with documentation, source code, and (on Standard and Advanced tiers) post-launch support. Best suited to funded startups and established SMBs who have scoped their agent use case and need senior architecture to execute it reliably.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Anomaly Detection, Automatic Speech Recognition, Conversational AI, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlowAI Models
ChatGPT, GPT-3, GPT-4, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$2,500
|
Standard
$4,500
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 21 days | 28 days | 42 days |
Number of Revisions | 2 | 3 | 4 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | ||
Model Deployment | |||
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500
Additional Revision
+$350Frequently asked questions
About Sheharyar
AI Agent Architect | AI Solutions | SaaS MVP | Full-Stack | Automation
Islamabad, Pakistan - 8:39 pm local time
Hi, I'm a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 specialising in 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗦𝗮𝗮𝗦 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀, 𝗮𝗻𝗱 𝗻𝗮𝘁𝗶𝘃𝗲 𝗶𝗢𝗦 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀. My shipped work spans production AI systems that survive real-world data: compliance agents with mandatory citations, marketing pipelines that self-correct on failure, native iOS apps with on-device intelligence, and full-stack platforms that wire AI into business operations instead of bolting on chatbots.
If your team is still doing work an agent could do, you are not behind on software. You are behind on leverage. The result of working with me is not a chatbot. Not a dashboard. A workforce that runs while your team sleeps.
If you are looking for a senior partner who quotes returns instead of line items, we should talk.
𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨 𝐁𝐞𝐬𝐭
- Autonomous AI Agents: Production-grade agents with bounded retry, validation, and observability (LangChain, LangGraph, CrewAI, MCP)
- Generative AI Systems: Custom workflows, RAG pipelines, real-time assistants, structural validation against hallucination
- Production SaaS MVPs: End-to-end development on the 2026 stack (Next.js 15, React 19, TypeScript, Supabase, Prisma)
- Native iOS Applications: Modern Apple-platform engineering with on-device intelligence (Swift 6, SwiftUI 6, SwiftData, Core ML)
- Python AI Backends: FastAPI services, RAG with pgvector, vector databases, ML model deployment
- Marketing Engineering: Programmatic SEO engines, AI outbound agents, autonomous growth loops
- AI Strategy and Audits: Diagnostic engagements that surface highest-leverage build targets
𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤
- Languages: Python, TypeScript, JavaScript, Swift 6
- AI and Agentic: LangChain, LangGraph, CrewAI, MCP, OpenAI, Anthropic Claude, Claude Code, ChatGPT, Hugging Face
- Frontend: Next.js 15, React 19, Tailwind v4, shadcn/ui, SwiftUI 6
- Backend: Node.js, Express, FastAPI, Django, Prisma, Drizzle
- iOS: Swift 6, SwiftUI 6, SwiftData, Core ML, Xcode
- Databases: PostgreSQL, MongoDB, Supabase, Redis, pgvector, Pinecone, Weaviate
- Cloud and DevOps: AWS, Vercel, Docker, GitHub Actions, CI/CD pipelines
𝐌𝐲 𝐖𝐚𝐲 𝐨𝐟 𝐖𝐨𝐫𝐤𝐢𝐧𝐠
- Solo-architect engagements with full-stack accountability. No handoff coordination.
- GitHub-first transparency. Source code, commit history, and architecture decisions visible from day one.
- ROI-scoped pricing. Every engagement tied to a measurable outcome, not hours billed.
- Senior architectural judgment on AI-assisted code. Production patterns, not demos that break with real data.
- Documentation-grade deliverables. Architecture docs, decision logs, and handover notes shipped with every project.
𝐖𝐡𝐞𝐧 𝐭𝐨 𝐇𝐢𝐫𝐞 𝐌𝐞
- You are a founder shipping an MVP and you want senior architectural ownership without a full engineering hire.
- You want to integrate custom AI agents, RAG systems, or automation pipelines into your existing platform.
- You are an SMB replacing manual workflows with autonomous AI infrastructure that runs reliably.
- You need native iOS delivered with production patterns, not a hybrid wrapper that breaks at scale.
- You have an AI prototype that demos well but breaks in production, and you need someone to harden it.
𝐖𝐡𝐲 𝐈'𝐦 𝐚 𝐆𝐫𝐞𝐚𝐭 𝐅𝐢𝐭 𝐟𝐨𝐫 𝐘𝐨𝐮
- Production AI systems shipped including agentic pipelines and RAG-based validation
- Deep specialization across the three frontiers most projects need (agentic AI, full-stack web, native iOS)
- Built on the 2026 stack (Next.js 15, React 19, Swift 6, MCP) instead of legacy patterns
- Fast iteration with senior judgment. AI-assisted velocity without AI-assisted technical debt.
- Direct communication, transparent timelines, and code you can audit through GitHub from day one
𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝
- Send me a message describing your problem. I respond within 24 hours with a written diagnostic recommendation. No commitment, no sales call. Either we are a fit, or I will tell you who else might be.
Keywords: agentic AI, AI agent development, AI architect, AI consultant, LangChain, LangGraph, CrewAI, MCP, Model Context Protocol, RAG, retrieval augmented generation, vector databases, pgvector, Pinecone, Weaviate, OpenAI, GPT-4, Anthropic Claude, Claude Code, ChatGPT, LLM, prompt engineering, AI automation, workflow automation, autonomous workflows, Python, TypeScript, JavaScript, Next.js, React, React 19, Tailwind CSS, shadcn ui, FastAPI, Django, Node.js, Express, full-stack development, MERN stack, MongoDB, PostgreSQL, Supabase, Prisma, Drizzle, REST API, GraphQL, webhooks, Swift, Swift 6, SwiftUI, SwiftData, Core ML, iOS development, native iOS, iPhone app, Xcode, machine learning, PyTorch, TensorFlow, Hugging Face, NLP, AWS, Docker, Vercel, GitHub Actions, CI/CD, DevOps, SaaS, SaaS MVP, MVP development, programmatic SEO, marketing engineering
Steps for completing your project
After purchasing the project, send requirements so Sheharyar can start the project.
Delivery time starts when Sheharyar receives requirements from you.
Sheharyar works on your project following the steps below.
Revisions may occur after the delivery date.
Scope Alignment and Architecture
Within 48 hours of purchase, I deliver an architecture proposal outlining the agent design, tool integrations, and deployment path. Your approval on the architecture begins the build phase.
Development and Orchestration
The agent is built using CrewAI or LangGraph based on the use case. MCP integration is implemented for tool connections. Daily build updates are shared through the Upwork message thread.