About Me
AI & Full Stack Developer
Dynamic and results-driven AI and Machine Learning professional with expertise in full-stack development. Passionate about creating innovative solutions using cutting-edge technologies.
Professional Summary
Dynamic and results-driven AI and Machine Learning professional with a strong foundation in software development and data analysis. Completed the IBM Full Stack Software Development Course and the IBM AI Engineering Certification, enhancing my ability to develop robust applications and implement AI solutions. Proficient in leveraging machine learning techniques to solve complex problems and drive innovation. Seeking to contribute my expertise in a challenging AI Associate Engineer role.
Education
IBM Full Stack Software Development
- Mastered front-end and back-end technologies including HTML, CSS, JavaScript, Node.js, and Express.js.
- Developed full-stack applications with a focus on user experience and responsive design.
Bachelor of Science
Virtual University | 2020 - 2024
- Relevant Coursework: Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Natural Language Processing
Technical Skills
- Programming Languages: Python, JavaScript, Bash
- Machine Learning Libraries: Scikit-learn, TensorFlow, Keras, PyTorch
- Web Development: HTML, CSS, JavaScript, Node.js, Express.js, MongoDB,Next.js,Django
- Data Analysis Tools: Pandas, NumPy, Matplotlib, Seaborn
- Natural Language Processing: NLTK, SpaCy
- Cloud Services: Microsoft Azure AI
- Statistical Analysis: Descriptive Statistics, Probability, Exploratory Data Analysis
- Soft Skills: Teamwork, Communication, Problem-solving, Adaptability
Architecture Expertise
Monolithic Architecture
- Developed end-to-end Django applications with integrated components
- Implemented secure authentication and authorization systems
- Optimized database performance and query efficiency
- Technologies: Django, PostgreSQL, Redis
N-Tier Architecture
- Designed scalable multi-layer applications
- Implemented separation of concerns (Presentation, Business, Data)
- Built robust API layers for service communication
- Technologies: Next.js, Express.js, MongoDB
Microservices Architecture
- Developed containerized microservices using Docker
- Implemented service discovery and API gateway patterns
- Managed inter-service communication with message queues
- Technologies: Docker, Kubernetes, RabbitMQ
Multi-tenant Architecture
- Implemented database-per-tenant and shared database approaches
- Developed tenant isolation and resource management
- Created scalable tenant provisioning systems
- Technologies: Azure, AWS, Django-tenant
AI Pipeline Architecture
- Designed end-to-end ML pipelines for data processing and model deployment
- Implemented automated model training and evaluation workflows
- Developed real-time inference systems with scalable APIs
- Technologies: TensorFlow, MLflow, Azure ML
JAMstack Architecture
- Built high-performance static websites with dynamic functionality
- Implemented serverless functions and headless CMS integration
- Developed CI/CD pipelines for automated deployments
- Technologies: Next.js, Vercel, Netlify, Strapi
Project Experience
Natural Language Processing Model
- Developed a text processing model using TensorFlow for NLP tasks, including text normalization and entity recognition.
- Achieved [insert accuracy percentage] in model performance through rigorous testing and validation.
Machine Learning Predictive Analysis
- Designed a predictive model using regression techniques to analyze trends in data, achieving an accuracy of [insert accuracy percentage].
- Utilized Scikit-learn for model training and evaluation.
Full-Stack Web Application Development
- Created a full-stack application using Node.js and Express.js for the backend and React for the frontend.
- Implemented user authentication and data storage with MongoDB, ensuring a seamless user experience.
Image Classification with CNNs
- Built a Convolutional Neural Network for image classification tasks, achieving [insert accuracy percentage] on the CIFAR-10 dataset.
- Employed data augmentation techniques to enhance model performance.
Certifications
- Microsoft Azure AI Associate Certification
- IBM Full Stack Software Development Certification
- IBM AI Engineering Certification