You will get I will build a FastAPI backend with PostgreSQL and Docker


Project details
I build production-ready REST APIs using FastAPI, PostgreSQL, and Docker — clean architecture, auto-generated documentation, and code you can actually maintain.
I have built multiple real backend systems including a multi-agent automation platform (Jarvis) and a voice AI call center backend (NeuroCall) using the same stack. You get working code, not tutorials copy-pasted together.
What makes this different: I scope honestly before starting. If your requirements need more than the package covers, I will tell you upfront before touching your money. No surprises mid-project.
I have built multiple real backend systems including a multi-agent automation platform (Jarvis) and a voice AI call center backend (NeuroCall) using the same stack. You get working code, not tutorials copy-pasted together.
What makes this different: I scope honestly before starting. If your requirements need more than the package covers, I will tell you upfront before touching your money. No surprises mid-project.
Programming Languages
JavaScript, PythonCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
About Atharva
AI/ML Developer | FastAPI Python LLM Integration Multi-Agent Systems
Pune, India - 5:42 am local time
My recent work includes:
- NeuroCall: A fully offline voice AI call center platform using speech recognition, RoBERTa for intent classification, and FastAPI microservices — zero per-call cost architecture
- Chanakya: An algorithmic trading system using XGBoost, LSTM, and FinBERT for NSE/Forex signal generation with a validated 57–60% win rate
- Jarvis: A multi-agent job search automation system with FastAPI backend, React frontend, PostgreSQL, and Docker — integrating email lookup APIs and Gmail automation
I work with: Python, FastAPI, PostgreSQL, Docker, React, LangChain, Hugging Face, XGBoost, PyTorch, REST APIs
What you can expect from me: clean code, clear communication, delivery on time, and honest scoping upfront. If something is outside my expertise, I will tell you before I take your money.
Open to: AI/ML development, FastAPI backend, LLM integration, multi-agent automation, full-stack projects.
Steps for completing your project
After purchasing the project, send requirements so Atharva can start the project.
Delivery time starts when Atharva receives requirements from you.
Atharva works on your project following the steps below.
Revisions may occur after the delivery date.
1
Receive and review your requirements, confirm scope and ask clarifying questions
2
Design database schema and API endpoint structure, share plan for your approval