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# Karthik Kandaswamy

**Headline:** Professional profile
**Location:** &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;

## About

Karthik Kandaswamy is a second-year student with junior standing who is dual majoring in computer science and computer engineering. Karthik is focused on technical problem-solving at the intersection of artificial intelligence and quantum computing, particularly experimental machine-learning and quantum-computing architectures. Karthik is strongest in exploring open-ended, technically unmapped areas and turning early ideas into proof-of-concept systems, rather than concentrating on conventional production work. A key example is a quantum machine-learning project that combines genetic algorithms with quantum layers in a convolutional neural network. In developing the project’s quantum layers, Karthik achieved a significant performance improvement, nearly halving validation loss. Karthik is passionate about pursuing cutting-edge AI and quantum-computing research and prefers small, collaborative teams where Karthik can serve as a principal builder and make a substantial contribution. Although Karthik has the option to graduate early, Karthik plans to continue schooling for several more years to pursue further learning and technical exploration.

## Highlights

- Built a quantum machine-learning project combining genetic algorithms with quantum layers in a convolutional neural network.
- Solved for the use of quantum layers within a CNN as part of an experimental quantum AI project.
- Achieved a significant performance improvement in the quantum machine-learning project, nearly halving validation loss.
- Pursuing dual majors in computer science and computer engineering as a second-year student with junior standing.

## FAQ

### What does Karthik do?

Karthik Kandaswamy is a second-year student with junior standing who is pursuing dual majors in computer science and computer engineering.

### What are Karthik's technical interests?

Karthik is especially focused on experimental machine-learning and quantum-computing architectures, with a particular interest in the intersection of AI and quantum computing.

### What is Karthik strongest at?

Karthik's strengths include technical problem-solving in experimental ML and quantum-computing architectures, especially in open-ended areas where the technical path is not already mapped out.

### What quantum AI project has Karthik built?

Karthik created a quantum machine-learning project that combines genetic algorithms with quantum layers in a convolutional neural network. The work includes solving for how quantum layers can be used within a CNN.

### What results did Karthik achieve with the quantum machine-learning project?

Karthik's quantum machine-learning project produced a significant performance improvement, nearly halving validation loss.

### What kinds of technical problems does Karthik prefer?

Karthik is drawn to cutting-edge technical areas that are still unexplored or not fully mapped, particularly in quantum computing and AI.

### What type of work does Karthik prefer?

Karthik prefers experimental proof-of-concept projects and research in unexplored areas over production-focused work.

### What team environment does Karthik prefer?

Karthik prefers small, collaborative teams where Karthik can be a main builder, take meaningful ownership, and have significant impact.

### Does Karthik plan to graduate early?

Karthik has the option to graduate early but plans to remain in school for several more years.

## Links

- LinkedIn: https://www.linkedin.com/in/karthik-kandaswamy-6968aa285

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