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Aditya DhananiAD
Open to opportunities

Aditya Dhanani

@adityadhanani

Founder and full‑stack developer building scalable consumer apps.

United States
Message

What I'm looking for

I am looking for roles where I can own end‑to‑end product development, drive user growth, and build scalable systems with a collaborative, data-driven team.

I am a founder and full‑stack software developer with hands‑on experience building and scaling consumer and internal tools using Swift, React Native, TypeScript, Python, and Rust. I launched two viral mobile apps that reached 9,500+ downloads and generated $45K+ in annual recurring revenue while maintaining strong user retention through continuous UX optimization.

I design and own full product lifecycles — from product design and backend architecture to deployment and growth. I have built high‑performance systems: REST APIs and vector search powering platforms for thousands of students, analytics pipelines processing 10K+ transactions, and performant Rust CLIs published on crates.io with hundreds of daily users.

I enjoy solving product problems with data and engineering rigor, shipping production systems that improve performance and reduce manual work. I seek opportunities where I can lead end‑to‑end development, drive measurable product growth, and mentor cross‑functional teams.

Experience

Work history, roles, and key accomplishments

KM

Lead Fullstack Developer

Kenny’s Meals

Jul 2025 - Sep 2025 (2 months)

Developed an interactive analytics dashboard and optimized Node.js and SQL pipelines to process 10K+ transactions, improving data refresh speeds by 40% and automating reporting via Square API to cut manual analysis time by 80%.

Education

Degrees, certifications, and relevant coursework

Rutgers University-New Brunswick logoRB

Rutgers University-New Brunswick

Bachelor of Science, Computer Science

Grade: 3.6/4.0

Activities and societies: Relevant coursework: Data Structures and Algorithms, Linear Algebra, Discrete Mathematics; Dean's List

Pursuing a Bachelor of Science in Computer Science with coursework in Data Structures and Algorithms, Linear Algebra, and Discrete Mathematics; 3.6/4.0 GPA and Dean's List recognition.

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