You will get A Python Backend for Your App or ML Project | FastAPI, Django & Flask
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Project details
š Python Backends Built for What Comes Next ā Users or ML Models.
Most backend developers stop at CRUD. Users, posts, comments ā done. But when your app needs to serve ML predictions, process data at scale, or handle async workflows, generic backends fall apart.
I build Python backends that do both ā solid REST APIs AND the ML/data-heavy stuff underneath.
What I build:
ā REST APIs with FastAPI, Django & Flask
ā ML model serving with proper batching & caching
ā Auth systems ā JWT, OAuth, API keys, role-based access
ā Database design ā PostgreSQL, MongoDB, Redis
ā Async processing with Celery, Redis Queue, background jobs
ā Third-party integrations ā Stripe, S3, SendGrid, webhooks
Why this backend works when others don't:
ā Framework fit ā FastAPI for speed, Django for full apps, Flask for lightweight
ā Real ML support ā I've served models in production, not localhost demos
ā Async-first ā high concurrency without blocking
ā Swagger/OpenAPI docs so your frontend team integrates fast
ā Deploy-ready ā Docker, CI/CD, env configs handled
I've built backends for SaaS, ML products, data pipelines, and mobile apps.
š© Contact me on Upwork before placing an order.
Most backend developers stop at CRUD. Users, posts, comments ā done. But when your app needs to serve ML predictions, process data at scale, or handle async workflows, generic backends fall apart.
I build Python backends that do both ā solid REST APIs AND the ML/data-heavy stuff underneath.
What I build:
ā REST APIs with FastAPI, Django & Flask
ā ML model serving with proper batching & caching
ā Auth systems ā JWT, OAuth, API keys, role-based access
ā Database design ā PostgreSQL, MongoDB, Redis
ā Async processing with Celery, Redis Queue, background jobs
ā Third-party integrations ā Stripe, S3, SendGrid, webhooks
Why this backend works when others don't:
ā Framework fit ā FastAPI for speed, Django for full apps, Flask for lightweight
ā Real ML support ā I've served models in production, not localhost demos
ā Async-first ā high concurrency without blocking
ā Swagger/OpenAPI docs so your frontend team integrates fast
ā Deploy-ready ā Docker, CI/CD, env configs handled
I've built backends for SaaS, ML products, data pipelines, and mobile apps.
š© Contact me on Upwork before placing an order.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$200
|
Standard
$600
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 22 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 3 | 8 | 15 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
Frequently asked questions
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Stephanie D.
Aug 13, 2025
UX/UI Developer
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Mary-Jane O.
May 2, 2023
Bottled Up
The Alian team created a beautiful website for the B2B local business. We'll continue to work with their team on projects like this.
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Ben H.
Jul 19, 2022
Shopify Developer
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Ahmad Y.
Feb 21, 2022
Web development - WordPress
Very good thank you
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Motti S.
Jun 15, 2021
Patient Communicator website Redesign
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About Rasheshkumar Harsukhbhai
Python & AI/ML Engineer | LLM, RAG, NLP, Deep Learning & Scraping
99%
Job Success
Anand, IndiaĀ - 7:34 am local time
I don't build demos or scripts that break in production. I build AI systems, ML models, and data pipelines that businesses run on every single day ā reliably, at scale, with real business impact.
Startups, agencies, research labs, and enterprise clients hire me to solve one core problem ā how do we turn our data into something intelligent, automated, and profitable?
Answer: Python + AI/ML + real engineering discipline.
Fine-tuned LLMs, RAG chatbots trained on your knowledge base, scrapers pulling millions of pages daily, computer vision in production, multi-agent AI crews ā I've built it, shipped it, and maintained it.
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š§ AI, LLMs, RAG & Agentic Systems :
ā¢ LLM Integration ā OpenAI GPT-4o, Claude, Gemini, LLaMA, Mistral, DeepSeek
ā¢ RAG Pipelines ā ingestion, chunking, reranking, hybrid search, HyDE
ā¢ Agentic AI ā LangChain, LangGraph, CrewAI, OpenAI Agents SDK, MCP
ā¢ Multi-Agent Workflows ā supervisor-worker, crews, human-in-the-loop
ā¢ Fine-Tuning ā LoRA, QLoRA, PEFT, DPO on custom domain data
ā¢ Vector Search ā Pinecone, Weaviate, Chroma, pgvector, FAISS, Qdrant
ā¢ Prompt Engineering, Guardrails, Structured Outputs
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š¤ Machine Learning & Deep Learning :
ā¢ Supervised, Unsupervised & Reinforcement Learning
ā¢ Classification, Regression, Clustering, Anomaly Detection
ā¢ Time-Series Forecasting (Prophet, LSTM, XGBoost)
ā¢ Recommendation Systems & Ranking Models
ā¢ Computer Vision ā YOLO, Detectron2, OCR, Segmentation
ā¢ Deep Learning ā CNNs, LSTMs, Transformers, GANs, Diffusion
ā¢ Transfer Learning, Quantization, Hyperparameter Tuning
Frameworks: TensorFlow, PyTorch, Keras, JAX, Scikit-Learn, XGBoost, LightGBM, Hugging Face
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š Natural Language Processing (NLP) :
ā¢ Text Classification, Sentiment & Emotion Analysis
ā¢ NER, Relation Extraction, Topic Modeling
ā¢ Summarization, Translation, Q&A Systems
ā¢ Document Intelligence ā PDF parsing, table extraction, OCR
ā¢ Speech ā Whisper, ElevenLabs, Deepgram
Libraries: spaCy, NLTK, Hugging Face Transformers, LangChain, LlamaIndex, Haystack
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šøļø Web Scraping & Data Extraction :
ā¢ Enterprise scrapers ā millions of pages, zero downtime
ā¢ Anti-bot bypass ā Cloudflare, DataDome, PerimeterX
ā¢ CAPTCHA solving, fingerprint spoofing, TLS fingerprinting
ā¢ Proxy rotation ā residential, datacenter, mobile IPs
ā¢ JavaScript sites, SPAs, infinite scroll, API reverse engineering
ā¢ Scheduled ETL pipelines with retry logic & monitoring
Tools: Scrapy, Selenium, Playwright, Puppeteer, BeautifulSoup, aiohttp
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āļø Backend & API Development :
ā¢ FastAPI ā high-performance async APIs with auto-docs
ā¢ Django & DRF ā full-featured web applications
ā¢ Flask ā lightweight microservices
ā¢ REST, GraphQL & gRPC APIs
ā¢ WebSockets, async programming, Celery, Redis Queue
ā¢ Auth ā JWT, OAuth 2.0, SSO, API keys
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š Data Engineering & Visualization :
ā¢ Data Cleaning, Feature Engineering, Statistical Testing
ā¢ ETL Pipelines ā Airflow, Prefect, Dagster
ā¢ Big Data ā Pandas, Dask, PySpark, Polars
ā¢ Dashboards ā Streamlit, Dash, Gradio, Plotly
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šļø Databases :
ā¢ SQL ā PostgreSQL, MySQL, ClickHouse, TimescaleDB
ā¢ NoSQL ā MongoDB, Firebase, Redis, DynamoDB
ā¢ Vector DBs ā Pinecone, Weaviate, Chroma, pgvector, Qdrant
ā¢ Warehouses ā BigQuery, Snowflake, Redshift, Databricks
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āļø Cloud, DevOps & MLOps :
ā¢ AWS (SageMaker, Bedrock, Lambda), GCP (Vertex AI), Azure ML
ā¢ Docker, Kubernetes, Terraform, CI/CD
ā¢ MLflow, W&B, DVC, BentoML for model deployment
ā¢ Monitoring ā Prometheus, Grafana, Sentry
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š” Real Problems I Solve :
ā¢ "Build a RAG chatbot trained on our 10,000 internal docs"
ā¢ "Scrape 500K product listings daily without getting blocked"
ā¢ "Fine-tune an LLM on our support tickets for auto-responses"
ā¢ "Predict customer churn 30 days before it happens"
ā¢ "Extract structured data from thousands of PDFs and invoices"
ā¢ "Build a multi-agent AI crew for our research workflow"
ā¢ "Detect defects on our assembly line with computer vision"
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š Industries: Finance, Healthcare, E-commerce, Real Estate, Marketing, Logistics, Legal, EdTech, SaaS, Manufacturing.
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ā Why Clients Trust Me :
ā¢ 8+ years of production Python, ML & AI engineering
ā¢ End-to-end delivery ā data to model to deployment to monitoring
ā¢ Deep expertise across LLMs, RAG, NLP, scraping, DL & MLOps
ā¢ Clean, tested, documented code ā not throwaway scripts
ā¢ Business-first thinking ā right questions before writing code
ā¢ Clear communication, honest timelines, long-term reliability
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š© Send me a message with your project ā let's turn your data into your competitive advantage.
Steps for completing your project
After purchasing the project, send requirements so Rasheshkumar Harsukhbhai can start the project.
Delivery time starts when Rasheshkumar Harsukhbhai receives requirements from you.
Rasheshkumar Harsukhbhai works on your project following the steps below.
Revisions may occur after the delivery date.
API Design & Database Schema
Review your requirements, plan the API endpoints, database schema, auth flow, and ML integration approach. Deliver a technical plan for your approval before coding.
Backend Build & ML Integration
Build APIs with FastAPI/Django/Flask, set up database models, auth, and ML model serving if needed. Connect all third-party services and background workers.