I’m a Backend & AI Developer passionate about building scalable backend systems and intelligent, AI-powered applications.

My primary focus is Python, Django, Django REST Framework, LLM applications, RAG, AI-driven systems, API development, and backend architecture.

I enjoy transforming complex requirements into reliable, scalable, maintainable, and production-ready software solutions.

• 💻 Backend & AI Developer at Betopia Group
• 🎓 B.Sc. in Computer Science & Engineering — BUBT
• 🐍 Strong experience with Python & Django
• 🔌 Building scalable REST APIs & backend systems
• 🤖 Working with LLMs, RAG & AI-powered applications
• 🧠 Experience with AI memory, recommendation & decision systems
• ⚡ Building real-time features with WebSockets & Django Channels
• 🗄️ Working with relational databases, caching & background processing
• 🐳 Familiar with containerization and production-oriented deployment
• 🚀 Passionate about combining Backend Engineering + Applied AI

Python • Django • Django REST Framework • REST APIs • JWT • Authentication & Authorization • RBAC

LLM Applications • RAG • Prompt Engineering • AI Agents • AI Chatbots • Embeddings • Semantic Search • Vector Search • AI Recommendations • AI Decision Systems • Memory Architecture

PostgreSQL • MySQL • Redis • pgvector • Database Design • Query Optimization • Vector Databases

Celery • Redis • Django Channels • WebSockets • Background Tasks • Real-Time Communication

Docker • Nginx • Gunicorn • Git • GitHub • API Deployment • Environment Configuration

Postman • VS Code • API Testing • Debugging • Git Workflow • Code Review

Working across backend engineering and AI-powered application development, combining Django-based backend systems with modern LLM and RAG architectures.

• Developing scalable APIs using Django & Django REST Framework
• Designing authentication, authorization and role-based access systems
• Building AI-powered features and conversational systems
• Integrating LLMs into backend workflows
• Implementing RAG-based knowledge and recommendation systems
• Designing persistent and session-based AI memory
• Building deterministic backend decision logic around AI-generated signals
• Working with PostgreSQL, Redis & Celery
• Developing real-time communication using Django Channels & WebSockets
• Integrating third-party APIs and external services
• Debugging, optimizing and improving backend architecture

An intelligent conversational system designed around:

Onboarding → Cold Start → Conversation → Diagnosis → Prescription

• LLM-based conversational signal detection
• Persistent user memory
• Rolling structured conversation summaries
• Confidence-based diagnosis
• Deterministic decision engine
• RAG-based recommendations
• Django REST API integration
• PostgreSQL-backed architecture

Core Architecture:

LLM → Signal Detection → Memory → Decision Engine → RAG → Recommendation

An AI-powered document processing and validation platform.

• LLM-powered content generation
• JSON schema generation
• Content template generation
• Base content generation
• Schema/content synchronization
• AI review workflow
• RAG-based knowledge processing
• AST parsing
• Embeddings & vector search
• pgvector integration

A conversational AI assistant designed to understand musculoskeletal concerns and provide relevant exercise recommendations.

• Natural-language understanding
• Body-part detection
• AI-powered exercise recommendations
• Structured exercise dataset
• Exercise metadata & instructions
• GIF-based exercise demonstrations
• Django REST API integration

AI Flow:

User Message → Body-Part Detection → Exercise Matching → Recommendation → GIF

A Django REST-based educational platform supporting students, teachers and academic organizations.

• AI-based weak-topic detection
• Student performance analytics
• Quiz & practice systems
• AI-generated questions
• Cohort & batch management
• Role-based access control
• Teacher & student dashboards
• Exam management
• Subscription management

I believe great software is built by combining strong engineering fundamentals with intelligent technology.

My approach focuses on:

Clean Architecture
       ↓
Scalable Backend
       ↓
Reliable APIs
       ↓
Structured Data
       ↓
AI / LLM Integration
       ↓
RAG & Intelligent Decision Systems
       ↓
Real-World Impact

For AI applications, I focus on combining:

LLM Intelligence + Structured Data + Deterministic Backend Logic + RAG

to build systems that are not only intelligent, but also reliable and maintainable.

• Advanced Django & DRF Architecture
• System Design & Scalable Backend Engineering
• Advanced LLM Application Development
• Agentic RAG
• AI Memory Architecture
• AI Recommendation Systems
• WebSockets & Real-Time Applications
• Docker & Production Deployment
• Backend Performance Optimization

I’m interested in opportunities involving:

Backend Engineering • Python • Django • AI Engineering • LLM Applications • RAG • AI Agents • Intelligent Backend Systems

I’m especially interested in building products where backend engineering and AI work together to solve real-world problems.

If you'd like to connect, collaborate, or discuss a contract, reach out:

• 🔗 GitHub: https://github.com/sultanakona
• 📧 Email: sultanakona259@gmail.com
• 💼 LinkedIn: https://www.linkedin.com/in/sultana-parvin-kona/
• 🌐 Portfolio: https://sultana-parvin-kona.vercel.app/

I combine smart work, consistency, and a strong desire to create meaningful impact.
Let’s build something valuable together 🚀

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