I'm a proficient Full Stack Developer with a strong backend focus, renowned for solving high-demand user challenges and contributing to projects with over 1 million users. My expertise includes Python, Django, Flask, and web scraping. I've implemented robust server-side solutions using CI/CD pipelines, GitHub Actions, and AWS workflows, ensuring seamless deployments. I've led AI-driven projects generating millions in revenue, utilizing OpenAI and ChatGPT.

𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: 𝐑𝐄𝐒𝐓 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Proficient in writing REST APIs using Django Rest Framework for large-scale applications. 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Skilled in implementing microservices techniques for scalable solutions. 𝐀𝐈 & 𝐋𝐋𝐌 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬: Hands-on experience with OpenAI and ChatGPT model implementations using RAG flow. 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Versatile in working with both relational (MySQL, PostgreSQL) and non-relational (MongoDB, Redis) Vector databases such as Milvus and Qdrant.

𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐈/𝐂𝐃: Complete Server Side deployment knowledge and comprehensive knowledge of GitHub Actions, workflows with AWS, and complete CI/CD implementation.

Python is my primary language for backend development and AI integration. Highly proficient in Django and Flask for building robust APIs and web applications, with experience in AI/ML integration using OpenAI APIs and implementing solid OOP principles.

Experienced with AWS ecosystem including EC2, S3, DynamoDB, DocumentDB and deployment pipelines. Skilled in Linux administration, CI/CD workflows, and maintaining production environments with Nginx, Gunicorn, and Docker for high-availability applications.

Proficient in both SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, DocumentDB), as well as vector databases (Milvus, Qdrant) for AI applications, with experience in designing efficient schemas and optimizing query performance for high-scale applications.

Experience with Kafka for building reliable, scalable event-driven architectures and real-time data pipelines.

• 🔭 I'm currently working on a RAG-based Chatbot Solution using Milvus and Qdrant for industry-specific knowledge retrieval
• 🌱 I'm learning more about Vector Databases and Large Language Model fine-tuning
• 👯 Open for collaboration on AI-powered web applications and high-scale backend systems
• 🔄 Implementing Kafka-based event architectures for distributed systems

• 💼 Full Stack Developer with strong backend focus
• 🏆 Built systems serving over 1 million users
• 🔍 Specialized in Django, Flask, and AI integration
• 🤖 Designed and implemented conversational AI chatbots
• 🚀 Experience with high-performance database solutions including Milvus and Qdrant Vector DBs
• 🐧 Strong Linux administration and server management skills
• 🔄 Implemented CI/CD pipelines for automated testing and deployment
• 💬 Proficient in web scraping using Selenium and BeautifulSoup
• 📫 How to reach me: [email protected]
• 💬 Ask me about Python backends, AI integration, or scaling web applications

• AI Chatbot Platform: Built GPT-based chatbots with Milvus & Qdrant for intelligent vector search
• Event-Driven Architecture: Implemented Kafka-based messaging system for high-throughput applications
• CI/CD Pipeline Automation: Designed GitHub Actions workflows for automated testing and deployment
• Django Admin Enhancements: Optimized data entry & visualization workflows
• React & Django Product: Contributed to a 100k+ user product, ensuring high-performance
• Advanced Web Scraping: Developed robust Selenium-based scraping solutions for data collection at scale