Skills

Programming Languages

Core Languages: Python, C, C++, Java, JavaScript (ES6+), TypeScript, SQL, HTML5, CSS3

AI & Machine Learning

Deep Learning Frameworks: TensorFlow, PyTorch, Keras
Machine Learning: Scikit-learn, Explainable AI (SHAP, LIME), Fairness in ML, Bias mitigation techniques
Neural Networks: Convolutional Neural Networks (CNN), Transfer Learning, Recurrent Neural Networks (RNN), Gated Recurrent Units (GRU)
Tools: Jupyter Notebook for data analysis and experimentation

Cloud & DevOps

AWS Certifications:

• AWS Certified Machine Learning Engineer - Associate - View Credential (Issued Feb 2025, Expires Feb 2028)
• AWS Certified AI Practitioner - View Credential (Issued Jan 2025, Expires Feb 2028)

Technologies: Docker, Git, Vercel, Kubernetes, Azure

Web Technologies & Frameworks

Frontend: React.js, Next.js, Responsive Design
Backend: Node.js, Express.js, Flask
REST API - Design and implementation
Authentication: OAuth, JWT

Databases

NoSQL: MongoDB, Firebase (Firestore, Realtime DB, Cloud Storage), DynamoDB
SQL: MySQL
Cloud Storage: Amazon S3

Architecture & Software Engineering

Architecture Patterns: MVC, Microservices, Serverless
Design: OOP, Database Design, System Design
Methodologies: Agile
Concepts: Graph Signal Processing, Time-Series Analysis, Signal Processing