You will get a production AI agent with tool calling and API integrations
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Project details
I will build a focused AI agent that understands a business request, uses relevant context, and safely calls your tools or APIs to complete a real workflow.
This is designed for practical use cases such as support triage, document processing, internal operations, data lookup, task routing, and workflow automation. Unlike a basic chatbot, the agent can take structured actions, handle failures, and pause for human approval when an action is sensitive.
Your package determines the scope:
• Starter: one focused agent workflow with one tool or API
• Standard: up to three tools or APIs, database integration, testing, and deployment
• Advanced: a multi-agent workflow with up to six tools or APIs, approval gates, monitoring, and deployment
You will receive readable Python source code, prompts and configuration, setup instructions, an integration map, and a clear handoff. I will build around your actual workflow rather than forcing a generic template onto it.
Third-party API usage, hosting, and software subscription fees are not included. Please contact me before ordering if your project involves regulated data, complex legacy systems, or requirements outside the selected package.
This is designed for practical use cases such as support triage, document processing, internal operations, data lookup, task routing, and workflow automation. Unlike a basic chatbot, the agent can take structured actions, handle failures, and pause for human approval when an action is sensitive.
Your package determines the scope:
• Starter: one focused agent workflow with one tool or API
• Standard: up to three tools or APIs, database integration, testing, and deployment
• Advanced: a multi-agent workflow with up to six tools or APIs, approval gates, monitoring, and deployment
You will receive readable Python source code, prompts and configuration, setup instructions, an integration map, and a clear handoff. I will build around your actual workflow rather than forcing a generic template onto it.
Third-party API usage, hosting, and software subscription fees are not included. Please contact me before ordering if your project involves regulated data, complex legacy systems, or requirements outside the selected package.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Jasper AI, ReplitAI Models
ChatGPT, GPT-4, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$75
|
Standard
$250
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Frequently asked questions
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JT
Justin T.
Aug 4, 2026
Full-Stack Developer (FastAPI + Next.js + Supabase) for AI Tools & Ongoing Projects
AT
Anna T.
Feb 27, 2026
Senior Full-Stack Dev (Supabase + Eventbrite API, React, Vercel)
Kumail was awesome to work with on our production-readiness and infrastructure build. He reviewed our architecture, refined the schema, and implemented totally reliable backend functionality. Our communication was clear and proactive throughout, and he even joined client calls which was extremely helpful. His recommendation to pivot parts of the stack to other infrastructures was thoughtful and definitely the right move. Would work together again, highly recommended!
VF
Vanessa F.
Jul 10, 2025
Google OAuth Troubleshooting with Supabase
Highly skilled and responsive. I've hired many devs on Upwork and Kumail has been one of the top talents to work with.
CN
Carl N.
May 1, 2025
NodeJs Lambda Workflow CM to GS
VF
Vanessa F.
Mar 17, 2025
Google OAuth Troubleshooting with Supabase
I've worked with a lot of upwork freelances but Kumail has been the best. Professional, hardworking and knowledgable you'd make a great choice by hiring him. I will be hiring him again.
About Kumail
Senior AI Engineer | Claude | OpenAI | LangGraph | FastAPI | AWS
100%
Job Success
Karachi, Pakistan - 3:53 pm local time
I sit with your team, learn the actual workflow, and ship AI systems that survive contact with real users.
Most AI projects die in the gap between a demo that works on a laptop and a system that holds up in production with real data, real permissions, and real customers. Closing that gap is what I do.
Over the last 7 years I've built production software, with the past 3 years focused exclusively on enterprise AI systems and agentic workflows.
WHAT I BUILD
• Agentic systems that do work, not just chat. Multi-agent orchestration, planner and router layers, tool calling with human approval gates, long-running jobs, streaming, evals, and guardrails.
• Production AI platforms, end to end. Next.js frontends, FastAPI or Node services, Postgres with strict migrations, authentication and multi-tenancy, observability, CI/CD, and AWS deployments.
• Internal AI enablement. Agent tooling, MCP servers, reusable skills, and automated review pipelines that make an entire engineering team faster, not just one person.
• Rescue work. Taking prototypes built on Replit, v0, or during a weekend hackathon and turning them into production-ready products.
RECENT WORK
• Enterprise AI agent platform. Migrated orchestration to AG2 on AWS Bedrock. Built a Turborepo monorepo with Next.js/FastAPI. Result: Reduced agent latency by 40% and implemented approval gates that prevented 15+ critical errors in production.
• Conversational research platform. Transformed a Replit prototype into a production monorepo using Claude/Bedrock and AssemblyAI. Result: Enabled real-time voice processing for 500+ daily users and cut interview analysis time from 2 hours to 15 minutes.
• AI-native collaboration platform. Built multi-provider routing across Bedrock, Gemini, and Perplexity with planner-based agent routing. Result: Optimized token usage by 30% and supported 200+ concurrent collaborative sessions.
• Agentic QA platform. Built from scratch: JS SDK for journey capture, FastAPI service for reconstruction, and agent-driven test containers. Result: Increased test coverage by 25% and automated 10 hours of manual QA per week.
• Claude Code tooling. Built a marketplace of skills and subagents for an engineering org, including automated code review and ticket-to-PR pipelines. Result: Reduced PR review time by 50% and increased deployment frequency by 3x.
STACK
AI: Claude / Anthropic API, AWS Bedrock and AgentCore, OpenAI, Gemini, AG2/AutoGen, LangGraph, Mastra, Pydantic AI, Vercel AI SDK, MCP, RAG, evals.
Backend: Python (FastAPI, SQLModel, Alembic, Pydantic), Node.js, TypeScript, Express, Postgres, Redis.
Frontend: Next.js 15/16, React 19, TypeScript, Tailwind CSS, shadcn/ui.
Cloud: AWS (CDK, ECS Fargate, Lambda, RDS, S3, Cognito, Bedrock), Vercel, Docker, GitHub Actions, OpenTelemetry.
HOW I WORK
I start with the business problem, not the architecture. I write down assumptions, ship something usable early, and keep you in the loop with demos instead of status reports.
I care about the unglamorous parts that determine whether an AI product succeeds: migrations, cost per request, latency, failure modes, observability, and what happens when the model is wrong.
I work with US, UK, and EU teams and overlap with your working hours.
GOOD FIT IF
• You have a real workflow you want an agent to own.
• You have a prototype that needs to become a production product.
• You have an AI feature that's stuck at 80% and won't cross the finish line.
NOT A FIT IF
• You want a thin wrapper around a chat box.
• You're building scraping or spam automation.
• You expect a fixed-price build without a discovery phase.
Send me a short note about the workflow you want to fix, and I'll tell you honestly whether I'm the right person and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Kumail can start the project.
Delivery time starts when Kumail receives requirements from you.
Kumail works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm scope and workflow
I review your requirements, examples, integrations, and selected package to confirm the delivery scope.
Design the agent workflow
I map the agent’s decisions, context, tool calls, approval points, and expected outputs.