AI Engineer
Evan A. Khanna
I’m a solution-oriented tech enthusiast and Honors student at James Madison University, majoring in Computer Science. With 2+ years of hands-on experience in coding, entrepreneurship, and competitions, I’m passionate about building digital experiences that are both creative and impactful.
I’m the founder of Dareshift, a tool that streamlines everything related to taking and managing your medications. Through Dareshift, I aim to take the hard work to manage, order, and take many medicines, provide educational content on tips I use to manage my own medications, and create original content through our company blog.
Outside of tech, I enjoy Taekwondo, creative writing, and spending time with family. I’m always open to collaboration, networking with other founders, and connecting with VCs, mentors, and student leaders—especially fellow Dukes.
My Experience
Applied Computer Science in Practice
Across academic work, student leadership, and independent technical projects, I focus on turning computer science concepts into real, usable systems. Whether meeting with university leadership to represent student needs, building experimental AI applications, or optimizing web experiences, I’ve learned to combine technical problem-solving with clear communication and practical impact.
These experiences have strengthened my ability to take ideas from early concepts to working prototypes, collaborate with others, and continuously iterate based on feedback.
I’m especially interested in applying AI and software engineering to build tools that are both technically sound and genuinely useful to the people who use them.
James Madison University College of Integrated Sciences and Engineering (CISE)
Academic Senator
Work with the Dean of CISE to represent student perspectives while drafting and voting on legislation as part of Student Government.
Present
Dareshift LLC
Founder and CEO
Build and grow a medication management platform through app development and SEO, reaching 2,000+ monthly visitors and 100+ Instagram followers.
Present
The Johns Hopkins University Applied Physics Laboratory (APL)
ASPIRE Intern
Developed and presented a fully playable space game simulating projectile physics, while contributing to workshops on AI, games, and public speaking.
2024
National Technical Honor Society (NTHS)
Founder and President
Grew NTHS to 40+ members through outreach and supported workforce development by helping students gain volunteer experience.
2023-2025
Titan School Store
Website Manager
Oversaw and pioneered the school store website to optimize user experience and conversions, and presented goals and achievements at quarterly board meetings.
2024-2025
AI Engineer, Founder, Product-First Builder. What should we build next?
my Skills
I build practical AI-driven products from the ground up, combining machine learning, software engineering, and product thinking to turn ideas into real, usable tools.
- AI & machine learning
- software & product development
- small business management
AI & machine learning
- OpenAI API
- Prompt Engineering
- Hugging Face
- LangChain
- Retrieval-Augmented Generation (RAG)
Software & product development
- Application Programming Interfaces (APIs)
- Git & GitHub
- Python & Java Programming
- WordPress & Divi Themes
- Software Architecture
Entrepreneurship
- Product Strategy
- Product Validation
- User Acquisition
- Growth & Search Engine Optimization (SEO)
- Analytics & Metrics
Awards & Education
BUILD.org
BUILDFest DMV 2nd Place
Pitched Dareshift LLC in a 5-minute pitch to 4 business executives from Fortune 500 companies and an audience
2025
BUILD.org
BUILD Hackathon winner
Created an AI therapy chatbot in addition to leading a team to create other marketing material, all within 30 minutes
2025
James Madison University (JMU)
Bachelor of Science
Computer Science major, Honors Interdisciplinary Studies minor, Logic and Reasoning minor
2025 – 2029
2025
Yoda’s Wise Whispers
A generative AI chatbot built with AWS PartyRock that responds in the iconic voice and style of Master Yoda from Star Wars. This project explores prompt engineering and persona-driven responses in GenAI, demonstrating how large language models can be fine-tuned through strategic prompting to produce creative, character-specific outputs.




