You will get a Python serverless API on AWS Lambda with CI/CD pipeline
Top Rated
Project details
A Python serverless backend on AWS Lambda, built the way production systems
actually run, not the way tutorials demonstrate them. Each function is
independently deployable. Business logic is shared via internal packages.
Environments are separated. Nothing breaks when one Lambda is updated.
Most serverless developers build a function or two. This service delivers an
architecture: API Gateway routing, SQS async processing, Secrets Manager for
credentials, IAM roles scoped by least privilege, and GitHub Actions CI/CD
that deploys only the functions that changed. That is how you avoid a
10-minute rebuild every time one endpoint is modified.
The Advanced tier mirrors a real production setup with 20 or more Lambda
functions, shared libraries distributed through AWS CodeArtifact, and
differential deployment across four environments.
Who this is for: teams going serverless to eliminate DevOps overhead, startups
scaling beyond a single server, and engineering leads who want independently
deployable functions without the architecture becoming a liability.
Source code delivered. AWS account access required from you. Architecture
documentation included at every tier.
actually run, not the way tutorials demonstrate them. Each function is
independently deployable. Business logic is shared via internal packages.
Environments are separated. Nothing breaks when one Lambda is updated.
Most serverless developers build a function or two. This service delivers an
architecture: API Gateway routing, SQS async processing, Secrets Manager for
credentials, IAM roles scoped by least privilege, and GitHub Actions CI/CD
that deploys only the functions that changed. That is how you avoid a
10-minute rebuild every time one endpoint is modified.
The Advanced tier mirrors a real production setup with 20 or more Lambda
functions, shared libraries distributed through AWS CodeArtifact, and
differential deployment across four environments.
Who this is for: teams going serverless to eliminate DevOps overhead, startups
scaling beyond a single server, and engineering leads who want independently
deployable functions without the architecture becoming a liability.
Source code delivered. AWS account access required from you. Architecture
documentation included at every tier.
Programming Languages
PythonCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$499
|
Standard
$999
|
Advanced
$1,999
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Real-time
(+ 4 Days)
+$300
LangChain AI agent
(+ 5 Days)
+$400Frequently asked questions
4 reviews
(4)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
ES
Erika Tatiana S.
Sep 25, 2025
Python Developer Needed – Dependency-Based Task Scheduler + Calendar Logic
Great work! Highly recommend!
RT
Rickie T.
May 10, 2025
Python, Airtable backend developer (entry level)
IG
Inkitt G.
Apr 11, 2025
Experienced Data Scraper for Instagram Follower Analysis
AW
Avery Donald W.
Sep 8, 2024
Python Developer for Scripts
About Umer
Python AI Developer | FastAPI | React | SaaS MVP | LLM Integration
100%
Job Success
Islamabad, Pakistan - 11:42 am local time
production SaaS platforms, AI-powered systems, and complete MVP
builds across healthcare, legal, retail, e-commerce, and
construction tech. I work across FastAPI, React, TypeScript,
Supabase, PostgreSQL, Stripe, OpenAI, LangChain, and AWS. I own
the full product from database schema to deployed frontend.
If you are building something that needs AI built in from day one,
not bolted on later, that is what I do. I have shipped RAG pipelines
with hybrid vector and keyword retrieval, multi-LLM orchestration
layers abstracting 7 providers behind a single interface, LangChain
agents with custom tool chains, and GPT-powered automation engines
that replace entire human workflows. The AI is not a feature. It
is the architecture.
Here is what I have built as sole architect and developer.
An AI scheduling SaaS currently live with paying customers. FastAPI
backend on Supabase with full Stripe billing, React frontend with
interactive Gantt visualization, and an Azure OpenAI pipeline that
converts raw project scope documents into fully dependency-mapped
schedules. What used to take a planning team 2 to 3 weeks happens
in minutes. Multi-tenant RBAC, JWKS JWT auth, deployed on Render.
An enterprise eDiscovery platform that is SOC 2 certified and runs
across AWS, Azure, and GCP. FastAPI, PostgreSQL, Redis, Celery,
Apache Solr, and Qdrant with hybrid RAG retrieval. Seven LLM
providers unified behind one interface. Fifty domain modules. This
is the type of system law firms pay $500K per year to access from
commercial vendors. I built it from scratch.
A full hospital operations SaaS for pediatric clinics. FastAPI,
PostgreSQL, Redis, React TypeScript. The encounter engine creates
7 entity types inside a single ACID transaction. Invoice sequencing
uses pessimistic row locking so numbers are always sequential under
concurrent billing load. Five role tiers across 60 protected routes.
A workflow that used to take 15 minutes at the front desk now takes
under 30 seconds.
A fully serverless retail collaboration platform on AWS. Twenty plus
Lambda functions with 3 shared internal Python packages distributed
via CodeArtifact. A LangChain AI agent with 6 integrated tools
embedded inside a real-time chat interface. Notification fan-out
across 6 channels from a single pipeline. Differential CI/CD across
4 environments so only the functions that changed get redeployed.
An AI sales automation engine that replaced a 2 person SDR team.
The system pulls real Gmail conversation history, injects it into
GPT prompts, generates context-aware follow-up emails, and threads
them back into the original conversation via RFC822 headers. Reply
detection resets the sequence automatically. Over 1000 Pipedrive
deals processed every minute during business hours with no human in
the loop.
A full-stack e-commerce operations platform that collapsed 6
separate tools into one system and cut daily operational overhead
from 3 hours to 30 minutes. Multi-source order ingestion, automated
SMS lifecycle, dual Kanban CRM with cross-entity SQL deduplication
running every 5 minutes, one-click USPS batch processing.
For clients I build full-stack SaaS MVPs with FastAPI or Node
backend, React or Next.js frontend, Supabase or PostgreSQL, Stripe
billing, and CI/CD deployment. Complete products with no handoffs.
I build AI and LLM integrations that go beyond calling an API. RAG
pipelines, LangChain agents with custom tools, OpenAI and Azure
OpenAI, vector search with Qdrant or FAISS, document processing
pipelines, GPT-powered workflows that eliminate manual processes.
I build Python backends with multi-tenant RBAC, Celery task queues,
Redis, WebSocket delivery, SAML SSO, and JWT auth. Production
concerns are the default, not an upgrade.
I also have genuine domain experience in healthcare software,
construction and project management tooling, legal tech, and
e-commerce operations. These are not projects I read about. They
are systems I designed and shipped.
Every system I deliver has proper auth, error handling, structured
logging, and a working deployment pipeline. I do not build
prototypes. I build things that run in production without anyone
watching them.
Available for full-stack development, AI integration work, SaaS MVP
builds, and long-term product engineering engagements.
Steps for completing your project
After purchasing the project, send requirements so Umer can start the project.
Delivery time starts when Umer receives requirements from you.
Umer works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture call
You share your use case, expected load, and AWS account access
Build
Lambda functions, API Gateway, IAM, CI/CD pipeline wired up