Naman Siddheshwar

Testing: SAT 1590/1600 (790 Math, 800 English); PSAT 1490/1520 (760 Math, 730 English)

Advanced coursework: AP Physics C (Mechanics & E&M), Chemistry, Calculus BC, Statistics, and Computer Science A (all scores of 5); Stanford Pre-Collegiate Light and Heat; post-AP Multivariable Calculus, Linear Algebra, Differential Equations, Modern Physics, and Biochemistry.

• Founded an AI-powered STEM practice platform that grew from a Science Bowl simulator with text-to-speech, buzzer practice, and analytics into tools used by students, educational nonprofits, and local PTAs.
• Designed a solution-centric automatic question generation pipeline for complex STEM and Olympiad problems; submitted the research paper to WAIE.
• Expanded the platform through Math, For Real by developing Math Forge for targeted practice and learner-performance tracking.

• Developed CLI Composer, an MCP-based agentic pipeline that generates command-line interfaces from YANG models.
• Worked in a shared production codebase with virtual environments, deployment workflows, and production networking software.

• Developing a music recommendation system tailored to elderly listeners and cognitive engagement; exploring music embedding models and music information retrieval for song similarity.
• Building DSP-based benchmarks for recommendation models.
• Developed a real-time sustain-pedal visualizer using microphone audio and spectral features—including harmonic decay, resonance, and spectral flux—to support piano pedagogy.

• Investigated LLM reasoning, designed experiments and an evaluation pipeline, and coauthored a paper submitted to a NeurIPS workshop.

• Developed C++ autonomous routines using PID control, motion profiling, and integrated sensor inputs for precise chassis positioning and game-object manipulation.
• Helped the team qualify for the VEX U.S. Open and reach its division final.

• Developed lunar-dust imaging algorithms and evaluated sensor limitations, signal noise, and data-interpretation challenges.
• Analyzed tradeoffs between system-design parameters and scientific objectives while contributing to mission planning.

• Built an ESP32-controlled robotic piano using solenoids and servos, integrating software, electronics, and mechanics for a robotic-orchestra finale.

• Composed and conducted an original piano quartet performed with the San Jose Youth Symphony Orchestra; earned third place in a statewide music composition competition.
• Released four albums across Apple Music, YouTube, Spotify, and Google Music; perform Carnatic violin at community and senior-care events.