You will get AI agent / automation built in 7 days
Project details
Most "AI automations" are demos that break the first week. I build the kind that survive real use.
Tell me one painful, repetitive task - lead handling, data entry, support replies, report generation, CRM updates and I'll build an AI-powered flow that does it. Connected to your real tools (Slack, Sheets, your CRM, your APIs), tested on real data and handed over clean.
I'm a senior Python engineer, not a prompt hobbyist - 9+ years shipping production systems, now focused on AI agents with LangGraph, n8n, and MCP. $90K+ earned on Upwork, 5.0 rating.
Each package includes a scoping call, the build, tool connections, a test run on your data and a short handover so your team can run it.
Tell me one painful, repetitive task - lead handling, data entry, support replies, report generation, CRM updates and I'll build an AI-powered flow that does it. Connected to your real tools (Slack, Sheets, your CRM, your APIs), tested on real data and handed over clean.
I'm a senior Python engineer, not a prompt hobbyist - 9+ years shipping production systems, now focused on AI agents with LangGraph, n8n, and MCP. $90K+ earned on Upwork, 5.0 rating.
Each package includes a scoping call, the build, tool connections, a test run on your data and a short handover so your team can run it.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$350
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
About Akash
AI Agent Developer | LangGraph, MCP, n8n, FastAPI | 9+ Yrs Python
Ahmedabad, India - 8:37 am local time
Most "AI developers" here are juniors stitching prompts together. I'm a senior engineer who shipped enterprise systems for 9 years before AI was even a category - now I bring that same discipline to agents, RAG pipelines and AI backends. If it goes to production, it's built to stay there.
🔹 AI Agents & Agentic Workflows
- Multi-step autonomous agents with LangGraph, LangChain, and Claude
- n8n automation flows with AI decision layers (CRM, Slack, Sheets, custom APIs)
- MCP (Model Context Protocol) server development for tool-using agents
- Multi-agent systems with shared memory and context
🔹 RAG & LLM Integration
- Retrieval-Augmented Generation pipelines with Pinecone, Weaviate, ChromaDB
- OpenAI, Anthropic Claude, Gemini, and open-source models
- Vector embeddings, semantic search, hybrid retrieval
- Prompt engineering and structured JSON output for reliable agents
🔹 Backend Engineering (Python + Java)
- FastAPI, Django, Django REST, Flask — clean async APIs
- PostgreSQL, MySQL, MongoDB with idempotency, encryption, and audit trails
- Webhook receivers, payment gateways, third-party integrations
- Java/Spring for enterprise-grade systems
🔹 AI-Assisted Development (Vibe Coding, Done Right)
- Daily user of Cursor, Claude Code, and GitHub Copilot to ship 2–3x faster
- I treat AI as a power tool - clean architecture, tests, and security still apply
- Ideal for founders who want MVP speed without tech debt
🔹 Cloud & DevOps
AWS (EC2, S3, SQS, SNS, Bedrock), Azure, Docker, Kubernetes, CI/CD, Sentry, NewRelic
Recent work:
✔ AICoach — AI coaching platform on FastAPI + OpenAI + Anthropic + Pinecone
✔ ML defect detection for semiconductor manufacturing (Django + ReactJS + AWS)
✔ HR recruitment automation with bots and ML (Flask + AWS ML)
✔ Astrology insights platform with NASA API integration
✔ Enterprise SIEM platform with PCI-DSS & HIPAA compliance
Why clients work with me:
✔ 9+ years of real engineering - code that survives production traffic
✔ Full ownership from architecture to deployment
✔ Clear daily/weekly communication - no silent freelancers here
✔ Comfortable with both short focused sprints (1–2 weeks) and long-term builds (3–6 months)
If you're building an AI-powered product, automating a real business workflow or need a senior backend engineer who can also own the AI layer -let's talk.
Send me a message with what you're working on. I usually reply within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Akash can start the project.
Delivery time starts when Akash receives requirements from you.
Akash works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & confirm
Quick call or message thread to lock the exact task, the tools involved and what a successful result looks like. No work starts until we both agree on scope.
Build the automation
I build the AI agent or workflow in clean, production-ready code and connect it to your real tools - structured to stay reliable, not a fragile demo.