Experience

• Develop, maintain, and optimize AI applications using LLMs and RAG technologies.

• Design and implement user interfaces with Streamlit to provide seamless and intuitive user experiences.

• Build and integrate RESTful APIs for robust and scalable application interactions.

• Experience in using Swagger with RESTful APIs interface.

• Write efficient and maintainable code in Python, JavaScript, and HTML.

• Experience in SQL databases usage and maintenance

• Use Docker to containerize applications for consistency across development, testing, and production environments.

• Collaborate with the software design team to implement and adhere to software design and testing workflows.

• Utilize Git for version control and collaborative development.

• Troubleshoot and resolve technical issues in a timely manner.

I work across frontend, backend, and AI systems to build intelligent, scalable, and cloud-ready solutions.

Key Responsibilities & Contributions:

• Developing and maintaining core features for a cloud accounting system powered by Angular (frontend) and Laravel (backend).

• Building interactive and dynamic UIs with Angular, integrating them with RESTful APIs from the Laravel backend.

• Utilizing Laravel Blade, Artisan, and Testbench for backend development, automation, and modular testing.

• Applying clean architecture principles to ensure scalability, maintainability, and code reusability.

• Managing the GitHub workflow including feature branching, pull requests, and code reviews for efficient CI/CD integration.

• Debugging and optimizing system performance across local, staging, and production environments.

AI & Data Development:

• Designing and integrating AI-powered modules for intelligent automation, decision support, and data-driven insights.

• Developing home-built OCR systems to extract and interpret information from documents, forms, and images.

• Implementing AI reasoning algorithms for contextual understanding, anomaly detection, and rule-based decision-making.

• Leveraging Python for data preprocessing, manipulation, and machine learning model development using Pandas, NumPy, Scikit-learn, PyTorch, and TensorFlow.

• Building end-to-end AI pipelines for computer vision, OCR, NLP, and predictive modeling.

• Deploying containerized AI and web applications on AWS and Microsoft Azure, with Kubernetes orchestration for high availability and scalability.

• Applying MLOps best practices for continuous model training, monitoring, and deployment in production environments.

• Working with both frontend and backend teams to develop and maintain core features for a Laravel-based cloud accounting system.

• Utilizing Laravel Blade, Artisan, and Testbench for full-stack web development.

• Contributing to GitHub production workflow (feature branching, pull requests, code reviews).

• Debugging and resolving feature-level issues across multiple environments (local, staging, production).

• Learning and applying clean architecture principles for scalable application design.

Designed processes for workload and performance improvement, that minimized downtime by 16%. Created and oversaw Remote VM flaws and designs in-home VPN for better performance.