Greetings! I'm Rahees Ahmed, a seasoned Backend Developer and AI Automation Specialist with over a decade of experience in crafting robust, scalable solutions. My expertise lies in developing high-performance backend systems, integrating cutting-edge AI technologies, and optimizing business processes through intelligent automation.
With a strong foundation in computer science and a passion for staying at the forefront of technological advancements, I bring a unique blend of technical proficiency and innovative problem-solving to every project. My work is driven by a commitment to excellence, a love for clean, efficient code, and a deep understanding of how technology can transform businesses.
- Architecting scalable and maintainable backend systems
- Implementing microservices architecture
- Optimizing database performance and query efficiency
- Ensuring robust security measures and data protection
- Developing and deploying advanced machine learning models
- Leveraging state-of-the-art language models (GPT-4, ChatGPT, Claude, Google Gemini) for various NLP tasks
- Natural Language Processing (NLP) for text analysis, generation, and understanding
- Building AI applications with LangChain for enhanced language model capabilities
- Utilizing Google Gemini for multimodal AI tasks, combining text, image, and video processing
- Computer Vision applications for image and video analysis
- Predictive analytics and forecasting systems
- Fine-tuning and deploying large language models for specific domain applications
- Creating intelligent chatbots and virtual assistants using cutting-edge AI technologies
- Implementing multimodal AI solutions that integrate text, vision, and audio capabilities
- Designing and implementing RESTful and GraphQL APIs
- Developing server-side rendered applications with NextJS
- Building scalable and efficient backend services using NestJS
- Comprehensive API testing and documentation with Postman
- Creating lightweight and flexible web applications with Flask
- Third-party API integration and management
- API security, authentication, and rate limiting
- Implementing microservices architecture
- Optimizing API performance and response times
- Developing real-time APIs using WebSockets
- Implementing AI-driven automation solutions
- Developing intelligent chatbots and virtual assistants
- Creating data extraction and analysis pipelines
- Automating repetitive tasks and business processes
- Streamlining workflows with no-code and low-code platforms
- Creating custom integrations between various software systems
- Designing automated testing and deployment pipelines
- Developing custom automation scripts and tools using Python
- Building efficient automation solutions with Node.js
- Orchestrating complex workflows with Apache Airflow
- Automating repetitive tasks and business processes
- Integrating AI and machine learning into automation pipelines
- Creating scalable and maintainable automation frameworks
January 2020 - Present
- Led the development of a cloud-native microservices architecture, improving system scalability by 200%
- Implemented an AI-powered recommendation engine, increasing user engagement by 45%
- Designed and deployed RESTful APIs, facilitating seamless integration with multiple client applications
- Mentored junior developers and conducted code reviews to maintain high code quality standards
June 2016 - December 2019
- Developed and maintained high-traffic backend systems serving over 1 million daily active users
- Optimized database queries and implemented caching strategies, reducing response times by 60%
- Collaborated with cross-functional teams to integrate machine learning models into production environments
🤖 AI-Powered Customer Support Platform
Developed an advanced customer support system leveraging OpenAI's GPT-3.5 for natural language understanding and generation. This solution reduced response times by 80% and increased customer satisfaction scores by 35%.
Key Features:
- Real-time sentiment analysis
- Multilingual support with automatic translation
- Integration with CRM systems for personalized responses
- Escalation protocols for complex queries
Technologies Used: Python, FastAPI, TensorFlow, Docker, AWS Lambda
🌐 Scalable E-commerce Microservices Architecture
Architected and implemented a highly scalable e-commerce platform capable of handling 100,000+ concurrent users with 99.99% uptime. The microservices architecture allowed for independent scaling and deployment of services, significantly improving development efficiency and system reliability.
Key Achievements:
- Reduced infrastructure costs by 40% through efficient resource utilization
- Implemented event-driven architecture for real-time inventory updates
- Designed a comprehensive API gateway for security and rate limiting
Technologies Used: Node.js, Express, MongoDB, Redis, Kubernetes, Istio
📊 Predictive Analytics Platform for Supply Chain Optimization
Created a machine learning-based predictive analytics platform for a global logistics company. The system forecasts demand, optimizes inventory levels, and predicts potential supply chain disruptions.
Impact:
- Improved forecast accuracy by 35%, leading to a 20% reduction in excess inventory
- Reduced stockouts by 50% through proactive supply chain management
- Saved the company an estimated $10 million annually in operational costs
Technologies Used: Python, PyTorch, Apache Spark, Airflow, Google Cloud Platform
I'm passionate about leveraging technology to solve complex business challenges and drive innovation. Whether you're looking to optimize your backend infrastructure, integrate cutting-edge AI solutions, or automate your business processes, I'm here to help turn your vision into reality.
My approach combines technical expertise with a deep understanding of business needs, ensuring that the solutions we develop not only meet technical specifications but also drive tangible business value.
If you're interested in collaboration or have a challenging project in mind, I'd love to hear from you. Let's discuss how we can work together to create something extraordinary.
