• Academic focus on AI/ML with computer science foundations (Python, Java, C, data structures, algorithms, systems).
• System-building mindset with emphasis on turning concepts into working prototypes and tools.
• Interest in human psychology to understand how it applies to AI behavior, UX decisions, and decision systems.

Programming

Python (Applied, Project-Focused).

• Using Python for AI systems, automation, and backend logic
• Actively developing production-oriented projects (SentIQ)

Java (Object Oriented Programming).

• Strong foundation in object-oriented programming.
• Experience through academic coursework and structured problem-solving

AI / ML

• Completed multiple AI/ML courses on IBM SkillsBuild.
• Completed AI/ML internships at IBM SkillsBuild through Edunet Foundation, and Vault of Codes.
• Supervised & unsupervised learning concepts
• Model evaluation basics (bias, variance, overfitting)
• Prompt engineering and LLM interaction patterns
• API driven AI integration
• Familiarity with libraries like scikit-learn, TensorFlow, PyTorch
• Experimentation, evaluation, and iterative improvement

Web / Systems

• HTML (Applied for structured web interfaces and documentation)
• CSS (Styling and responsive design)

Tools

• Github (Version control and collaboration)
• VS Code (Primary code editor)
• Canva (Graphic design tool)

Reading for understanding decision models and user empathy.

Writing for clarity and structured communication.

Information(graphics) design for clean interfaces.

Strategic thinking for planning and search.