Sparsh Karna - AI Developer | Machine Learning Engineer

About Me

Sparsh Karna - Data Science Intern and AI Developer

I'm Sparsh Karna - a passionate data science intern and AI enthusiast who thrives on transforming complex problems into elegant solutions. Currently pursuing my journey in computer science, I specialize in machine learning, data analysis, and software development.

My work spans everything from AI pipelines to data deep dives, always pursuing innovative solutions that bridge theoretical AI with practical applications. I'm experienced in Python, JavaScript, machine learning frameworks like TensorFlow and PyTorch, and web development with React.

Technical Skills

Programming Languages: Python, JavaScript, R, SQL, Java
Data Science & ML: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Web Development: React, Node.js, HTML/CSS, Tailwind CSS, REST APIs
Data Tools: Jupyter, Git, Docker, AWS, Tableau

Goals & Aspirations

Pursue advanced research in artificial intelligence and machine learning
Develop innovative solutions that bridge theoretical AI and practical applications
Contribute to open-source projects that democratize access to AI tools
Build scalable systems for large-scale data processing and analysis
Explore AI ethics and human-computer interaction

My Work

Explore my portfolio of AI projects, machine learning implementations, and software development work. I focus on creating innovative solutions in data science, artificial intelligence, and web development.

Featured projects include AnalyzeX (ML-powered research analysis), LegalLookup (AI legal chatbot), and advanced data visualization tools. View my complete portfolio →

Blog - Compile-Time Thoughts

Writings on engineering patterns, design principles, AI research, and whatever's been stuck in my brain lately. Covering topics from abstractions in software systems to the philosophy of artificial intelligence.

When Systems Learn to Think: On the Threshold Between Models and Minds

Explores the transition from narrow AI to agentic behavior, asking what it really means for a system to "understand" - and whether that's a useful question at all. Read more →

Contact

Let's connect and discuss opportunities in data science, AI development, or collaborative projects. I'm always interested in innovative challenges and learning opportunities. Get in touch →