You will get AI Agent for Workflow Automation
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Project details
I build custom AI agents that automate the repetitive parts of your workflow, not just simple if-then triggers, but agents that can read, reason, and make decisions across your tools. I've built AI agents that connect Airtable and Figma for automated content and design workflows, an auto-tagging system that uses AI to classify and tag blog posts at scale, and an automated fine-tuning pipeline for OpenAI models to keep AI outputs aligned with specific business needs over time.
What sets my work apart is that I design these as real production systems, with error handling, logging, and monitoring, not fragile scripts that break the first time an API response looks different than expected. I also focus on making the AI logic transparent, so you understand why the agent made a given decision, which matters when automation touches customer data or business critical workflows.
I'm a hands-on full-stack and AI engineer, not an agency, so you work directly with the person building and debugging the automation. I deliver upto6 60 hours a week and stay available to tune the logic as your workflow evolves.
What sets my work apart is that I design these as real production systems, with error handling, logging, and monitoring, not fragile scripts that break the first time an API response looks different than expected. I also focus on making the AI logic transparent, so you understand why the agent made a given decision, which matters when automation touches customer data or business critical workflows.
I'm a hands-on full-stack and AI engineer, not an agency, so you work directly with the person building and debugging the automation. I deliver upto6 60 hours a week and stay available to tune the logic as your workflow evolves.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Google Sheets, Kubeflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, Scrapy, Sonnet, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,400
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 3 | 8 | 15 |
Number of Graphs/Charts | 0 | 2 | 4 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
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Mohsin did a good job. However; I decided to end my project for personal reasons, thus I closed this contract too. He was pleasant to work with and the communication was easy too.
About Mohsin
AI Developer | Full-Stack | LLM Agents, RAG | Python, Node.js, Next.js
100%
Job Success
Lahore, Pakistan - 2:11 am local time
Most of my work has been joining an existing team or product and taking ownership of a scoped piece end to end. Over the last few years that's increasingly meant AI: RAG assistants, LLM-powered agents, automation workflows, and AI features layered into existing platforms.
WHAT I'VE BUILT RECENTLY
I own backend and AI work on a large production SaaS platform (Next.js, Node.js, Supabase Postgres) — shipped hundreds of merged PRs across HR, inventory, scheduling, and admin modules, built an AI insights chatbot on the Anthropic API pulling from live business data for customer segmentation and analytics, diagnosed and fixed CI/staging pipeline issues that were blocking the whole team, and fixed telephony call routing across a 10-location business.
AI AND LLM ENGINEERING
RAG assistants built with LangChain and Pinecone. Agent orchestration and workflow automation with n8n. GPT-4 and Claude API integrations for scripting, summarization, and structured data extraction. I've built the backend for a no-code tool that lets non-technical users deploy their own AI agents, and real-time dashboards that stream model output live as inference runs.
FULL-STACK PRODUCT ENGINEERING
React, Next.js, and TypeScript on the frontend. Python (FastAPI, Django, Flask) and Node.js (Express, NestJS) on the backend. PostgreSQL, Supabase, MongoDB, Redis. Stripe, auth, real-time chat, scheduling, search that stays fast as data grows. I've delivered recruitment platforms, booking systems, CRMs, analytics dashboards, and Shopify stores live in production.
AI VOICE AND MEDIA PIPELINES
Voice-cloning SDK integration, WebRTC and WebSocket streaming for real-time avatar and voice interactions, video rendering APIs. This work is latency-sensitive and breaks in ugly ways at scale, I've shipped it more than once.
CLOUD AND DEVOPS
AWS (Lambda, S3, EC2, EKS, RDS), Railway, Vercel, Docker, Kubernetes, Terraform, GitHub Actions. I build and own the deployment pipeline too, so nobody inherits a project they can't ship.
WHERE I FIT BEST
You have a working product and need someone to own one hard piece of it end to end. You have an AI idea that needs to become a deployed, monitored system, not a demo. You inherited a codebase and need someone who reads it before rewriting it.
HOW I WORK
I scope and estimate before writing code, ask for repo access on day one, and send updates you don't have to chase. I use Claude Code and Cursor daily, not occasionally, and I review every AI-assisted change line by line before it ships. I'll also tell you honestly when an LLM is the wrong tool for the job, because a lot of what arrives briefed as "AI" is solved better and cheaper with plain engineering.
Tell me what you're building and where it's stuck. I'll tell you honestly whether I'm the right person for it.
Steps for completing your project
After purchasing the project, send requirements so Mohsin can start the project.
Delivery time starts when Mohsin receives requirements from you.
Mohsin works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and process mapping
I'll map your current manual process, identify where AI can add the most value, and confirm the automation scope.
Build AI automation logic
I'll build the AI decision logic and automation flow, including how it reads, processes, and routes information across tools.