Don’t settle for “toy” projects. Join the HighScores.ai core team for 8 weeks to build, deploy, and scale production features using the industry’s most advanced AI tech stack.
PROGRAM DIRECTOR
Message from the Founder
“This isn’t a coding camp. It’s a technical fellowship where high-achieving students work on the same architectural bottlenecks I solve every day at HighScores.ai. My goal is to help you build a portfolio that admissions officers at Stanford and MIT can’t ignore.”
Founder of HighScores.ai | CS Educator | AP Computer Science Specialist
Select a core track. Each project represents a high-stakes engineering bottleneck at HighScores.ai.
OPTIMIZATION
DATA SCIENCE
Static study plans are dead. You will engineer a Constraint-Satisfaction Engine that takes student diagnostic data and outputs an 8-week optimized learning trajectory based on the student’s “Point-per-Hour” return.
# Optimization Logic Mockup
plan = calculate_path(score_gap, hours_available, unit_weights)
optimized_schedule = priority_queue.fit(plan)LIBRARY
STRUCTURE
SYNTHESIS
GENERATIVE AI
LATEX SUPPORT
Scale our question bank by 10x. You will build a Prompt-Chaining Pipeline that “clones” existing math problems, changing the narrative context and variables while ensuring the pedagogical difficulty remains identical.
“John has 5 apples and buys 3 more…”
“The rocket burns 5L of fuel and adds 3L…”
NLP
COGNITIVE AI
Why did the student miss the question? You will build a Diagnostic Classifier that analyzes “distractors” (wrong answers) to identify the mental misconception (e.g., calculation error vs. conceptual misunderstanding).
Wrong
“Calculation Error”
