You will get AI/ML Feature Integration in Python App, Agent, Claude, Chatbot with API
Rising Talent
Project details
I’m Nazar — a Senior Python AI Developer and Data Platform Engineer with 5+ years of production experience in backend development, cloud infrastructure, and large-scale system integration. I build SaaS backend MVP: clean API architecture, reliable PostgreSQL design, secure access patterns, that’s ready for AWS. I did a 200+ pipeline data platform for an S&P 500 enterprise and 50+ migrations from Spark to Snowflake.
🧩 This project is a great fit if you need:
• A production SaaS backend in Python
• PostgreSQL schema design and strong data access patterns
• Core MVP endpoints built in a clean architecture
• Background jobs and integrations
• AWS-ready direction with practical hooks
Every SaaS product has its own workflows, roles, and roadmap, so the backend is adapted to your MVP scope and growth plan — with a focus on maintainable code and clear documentation.
🔧 Before we start, let’s plan together:
• Confirm the right technical stack
• Prioritize features based on business goals
• Estimate scope and timeline
• Plan a realistic budget
• Define a roadmap with milestones and next steps
✅ Contact me before ordering - I’ll create a clear roadmap for your project.
🧩 This project is a great fit if you need:
• A production SaaS backend in Python
• PostgreSQL schema design and strong data access patterns
• Core MVP endpoints built in a clean architecture
• Background jobs and integrations
• AWS-ready direction with practical hooks
Every SaaS product has its own workflows, roles, and roadmap, so the backend is adapted to your MVP scope and growth plan — with a focus on maintainable code and clear documentation.
🔧 Before we start, let’s plan together:
• Confirm the right technical stack
• Prioritize features based on business goals
• Estimate scope and timeline
• Plan a realistic budget
• Define a roadmap with milestones and next steps
✅ Contact me before ordering - I’ll create a clear roadmap for your project.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Apache Spark MLlib, ChatGPT, Cloudera, Databricks MLflow, GitHub Copilot, Google Data Studio, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Scrapy, SQL, TensorFlow, Vertex AI, XGBoostWhat's included $10,000
These options are included with the project scope.
$10,000
- Delivery Time 42 days
- Number of Revisions 2
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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SA
Syed Asif A.
Feb 27, 2019
Social Media Marketing
Nazar is an awesome freelancer with great digital marketing skills, he exceeded our expectations to get the job done. His English is excellent! I would highly recommend hiring Nazar for your projects. I will hire him again in the future. Thanks for your great services!
About Nazar
Senior Python AI Developer | LLM Agent, Data Automation Engineer
Lviv, Ukraine - 4:41 am local time
Here is technical stack I bring to your project:
⚡ AI & LLM Development
- AI agent development with CrewAI — multi-crew orchestration for research, PDF analysis, and scraping in a live production product
- LangChain for RAG pipelines, tool integration, and LLM orchestration connected to real data sources
- Production Artificial Intelligence integrations — agentic workflows, tool use, structured outputs (OpenAI, Anthropic, Gemini)
- Chatbot development and AI bot deployment for customer-facing automation with multi-step reasoning
- Natural language processing pipelines for document classification, entity extraction, and semantic similarity
- Machine learning model integration and deep learning inference layers connected to data pipelines
- Automation of research and analysis workflows using multi-agent AI development systems
🏭 Data Platform & Automation Engineering
- Snowflake (SnowPro Core certified) — advanced data warehouse management, cost optimization (30% Snowflake compute reduction), multi-domain governance
- ETL and ELT pipeline design at scale — 200+ pipelines across a data mesh for an S&P 500 enterprise platform
- CDC (Change Data Capture) pipelines with DLT against S3 snapshots for lightweight, cost-efficient incremental processing
- Large-scale data migration — 50+ pipelines migrated from Apache Spark to Snowflake + dbt with zero business continuity loss
- Data mining and entity resolution — 3-tier staging/validation/gold processing with conflict scoring and ambiguity handling
- Database architecture for analytical workloads: Snowflake, AWS Redshift, PostgreSQL, MongoDB, DynamoDB, AWS OpenSearch
- Real-time streaming pipelines with Apache Kafka and AWS Kinesis Firehose for operational data ingestion
📡 Data Extraction, Scraping & API Integration
- Data and web scraping — multi-source extraction pipelines embedded directly into AI agent crews
- API integration with data vendors, SaaS platforms, and internal microservices — REST, webhooks, and polling adapters
- API development with FastAPI and Flask — async backends exposing data platform outputs and AI agent results
- Data mining from unstructured web content using NLP classification within CrewAI workflows
- Competitor intelligence and market research automation via scraping and API pipelines
- Web application backends with FastAPI — RESTful API design, async processing, and structured data delivery
🌐 Cloud, Infrastructure & Backend Engineering
- Amazon Web Services — S3, Lambda, Kinesis Firehose, SQS, MWAA, Aurora, Redshift, Bedrock, OpenSearch (AWS Data Engineer Associate certified)
- GCP — Cloud Composer, Cloud Functions for orchestration and event-driven pipeline triggers
- Docker, Kubernetes, ArgoCD, and Terraform for production-grade infrastructure as code and GitOps deployments
- CI/CD with GitHub Actions and CircleCI — automated pipeline testing, data contract validation, and deployment workflows
- Monitoring with Datadog, Astronomer, and Atlan — pipeline health, warehouse cost tracking, and data quality alerting
🤝 When you work with me, you get a clear workflow:
- Consultation — we start with a real conversation about your goals, needs, and constraints
- Honest scoping — you get a clear estimate with realistic timelines, based on what you actually needed
- Full transparency — step-by-step roadmap, regular check-ins, and open communication from start
- Clean delivery — proper documentation and handoff, so you fully own everything I build
- Ongoing support — I stay available after delivery and remain involved for as long as you needed
💬 Ready to start? Contact me — I respond fast.
Buzz words: Python Artificial Intelligence Machine Learning JavaScript API API Integration Node.js AI Agent Development React AI Development PostgreSQL Amazon Web Services Web Development Web Application AI App Development Data Scraping Data Science Java Automation Deep Learning AI Model Integration TensorFlow RESTful API Django Natural Language Processing Claude PHP Chatbot Development API Development TypeScript Supabase n8n OpenAI API AI Bot Full-Stack Development C# FastAPI Docker Next.js LLM Prompt Engineering Data Mining Computer Vision SaaS LangChain Software Architecture & Design Data Extraction Database Architecture SQL Lead Generation Vector Database Web Scraping
Steps for completing your project
After purchasing the project, send requirements so Nazar can start the project.
Delivery time starts when Nazar receives requirements from you.
Nazar works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & architecture design
AI feature development & integration