Secure, scalable APIs and web applications powered by Python — built for startups, enterprises, and AI-driven systems.
🔍 Python at the Core of Modern Backend Development
Python is no longer just for data science — it powers some of the most secure and scalable backend systems in fintech, healthtech, AI platforms, and global SaaS products. At TAS, we bring over a decade of backend engineering experience using Python and its top web frameworks — Django and FastAPI — to build reliable, high-performance server-side architectures that are easy to maintain and evolve.
From secure admin portals and multi-user CMS platforms to blazing-fast APIs that power mobile apps or AI workflows, our Python backends are engineered for both performance and long-term scale. Whether you’re looking to build an internal tool, customer-facing application, or a data-heavy backend system, we help you get there with clean, modular, and well-tested code.
⚙️ Why Django and FastAPI?
Django is a robust full-stack web framework trusted by developers and enterprises for its speed, security, and “batteries-included” philosophy. It’s perfect for projects where rapid development, admin interfaces, and scalability are a must. On the other hand, FastAPI is our go-to framework for building asynchronous, blazing-fast APIs with automatic documentation (OpenAPI/Swagger), perfect for modern microservices and AI-first platforms.
Depending on your product’s goals, we leverage the best of both — Django for structured web apps with ORM and built-in admin tools, and FastAPI for async endpoints that interact with ML models, real-time data, or mobile clients.
🔧 What We Build
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🔐 Authentication & Access Management
JWT, OAuth2, session-based auth, RBAC/ABAC roles, and SSO integrations. 
🔁 RESTful & Async APIs
Scalable API endpoints using Django REST Framework or FastAPI with Pydantic.-
🧠 ML/AI Model Serving
Seamless model integration using TensorFlow, PyTorch, OpenAI APIs, and LangChain. -
📄 Custom Admin Panels
Admin dashboards built on Django admin, React.js, or open-source templates. -
🧪 Testing & CI/CD
Pytest-based test suites, GitHub Actions pipelines, automated deployment. -
📦 Background Jobs & Task Queues
Celery with Redis/RabbitMQ for background tasks, email queues, data processing. -
📊 ORM & Database Abstraction
PostgreSQL, MySQL, SQLite with Django ORM or SQLAlchemy for fast queries. -
📁 Secure File Uploads & Media Handling
AWS S3, Google Cloud, Cloudinary integrations for uploads and CDN delivery.
🏗️ Use Cases We’ve Delivered
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Scalable admin panels and CRMs
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Secure healthcare data management systems
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GPT/LLM-powered backend orchestration
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Voice-to-text transcription and summarization engines
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Resume matching and HR automation APIs
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Blockchain analytics dashboards
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Custom CMS and document workflow automation
🚀 Portfolio Highlights with Python, Django & FastAPI
🩺 Mariana AI – Multilingual Medical Transcription & EHR Automation
We developed the backend system for a multilingual AI-powered platform used by doctors to record and retrieve patient notes via voice. Using FastAPI, we orchestrated audio uploads, language detection, Whisper + GPT-powered transcription, and medical summary generation. The backend included role-based access, audit logs, and secure storage.
📄 Gram Vaani – Voice Analysis System for Rural Call Centers
We built a backend pipeline that receives voice calls from rural users and processes them using speech-to-text, translation, and LLMs. Using Python microservices with FastAPI, the system transcribes local language queries, generates AI-based responses, and converts them back to voice. Django-based admin panel supports monitoring, escalation, and moderation workflows.
🌐 Internal Blockchain Config Dashboard for Mai Labs
Created a Django-based internal tool for Kalp Layer 1 blockchain team to manage token configurations, validator settings, exchange rules, and more. Included login management, user roles, and internal audit trails.
🧠 Built for AI, Automation & Scale
Our Python backends don’t just serve static data — they orchestrate AI workflows, trigger real-time automation, and handle large volumes of user interactions. From integrating OpenAI / LangChain pipelines to generating voice-to-text medical records, we combine backend engineering with smart automation to deliver intelligent platforms that work seamlessly at scale.
✅ Why Choose TAS?
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🔁 End-to-end Python expertise — Django, FastAPI, Celery, Redis, ORM, Docker
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🔐 Secure coding practices aligned with HIPAA, GDPR & OWASP
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⚙️ Integrated CI/CD pipelines, test suites, and multi-stage environments
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🧠 Experience with AI, blockchain, data pipelines, and automation tooling
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🏗️ Clean codebases, versioned APIs, modular architecture, future-ready design
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🤝 In-house frontend, mobile, DevOps, and AI teams for seamless delivery
❓ Python, Django & FastAPI Development – FAQs
Q1. What services do you offer with Python, Django & FastAPI?
We build high-performance backend systems, APIs, and microservices using Python frameworks like Django and FastAPI. Our services include API development, data processing, AI/ML integrations, authentication systems, and scalable enterprise applications.
Q2. Why should I choose TAS for Python backend development?
TAS combines deep Python expertise with 15+ years of engineering experience. We deliver backends that are secure, scalable, and optimized for speed, ensuring your applications perform reliably even under heavy workloads.
Q3. What types of applications can you build with Django & FastAPI?
We develop fintech platforms, healthcare systems, SaaS products, eCommerce solutions, AI-powered apps, and real-time APIs. Django is ideal for feature-rich enterprise apps, while FastAPI is perfect for high-speed, modern APIs.
Q4. How long does it take to build a Python backend solution?
A basic API or backend service can be delivered in 4–6 weeks. More complex enterprise systems or AI-powered platforms may take 3–6 months, depending on integrations and scale.
Q5. What technologies and tools do you use?
Our backend stack includes Python, Django, FastAPI, Flask, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, GraphQL, and cloud services (AWS, GCP, Azure). We also integrate with AI/ML frameworks like TensorFlow and PyTorch when required.
Q6. How do you ensure performance and scalability?
We design with asynchronous processing, caching (Redis, Memcached), load balancing, and cloud-native architectures. This ensures your backend handles millions of requests with low latency and high availability.
Q7. How much does backend development cost?
The cost depends on project complexity, integrations, and scalability needs. A basic API service starts from a few thousand dollars, while enterprise-level backends require higher investment. We provide custom pricing options tailored to your needs.
Q8. Do you provide post-deployment support and maintenance?
Yes. We offer ongoing monitoring, bug fixes, performance optimization, security updates, and feature enhancements to ensure your backend remains robust and future-ready.
💬 Let’s Power Your Platform with Python
Whether you’re building an MVP, revamping an old backend, or integrating AI into your product — TAS brings the full Python ecosystem to your fingertips. We build fast, maintainable, and intelligent backends using Django and FastAPI that are trusted by startups and enterprises alike.
