your-project.com
01 · Live project
A working product with its own link
✓Shipped
✓Clickable
✓Built by you
High school · AdmissionsUniversity · Careers
Design, build, and ship a real, working AI project one-on-one with an expert mentor — a résumé line that's true, and an interview story that's actually yours.
1:1 practicing-engineer mentorShipped in 2 months — guaranteedScoped to your target role
AmazonDatabricksUS$300K+ offersTop-25 SWE-bench agentUS$5M AI data startup
The numbers don't lie
The AI advantage is already priced in.
None of these are our claims. This is published labor-market data on what AI skills are already worth — and every interviewer you'll ever meet is reading this market.
0%
higher wages for workers with AI skills, a premium that nearly doubled in a single year.
PwC AI Jobs Barometer · 2025
0.0×
faster growth in jobs demanding AI skills than in all other jobs.
PwC AI Jobs Barometer
0M
new jobs the AI economy is expected to create worldwide by 2030.
WEF Future of Jobs, 2025
Sources: PwC AI Jobs Barometer 2025 · Microsoft & LinkedIn Work Trend Index 2024 · WEF Future of Jobs 2025
Success stories
From top-university students to an NVIDIA engineer — all carrying work built at Lantr.
Every student ships a real project with their mentor: some carry it into applications, some into recruiting, and some build their first real engineering experience alongside university.
Successfully hired
NVIDIA
Systems Engineer
“Jason helped me enormously. He went through my code every week, held me to an industry standard, and helped me get the whole pipeline running reliably. A lot of my interview questions turned out to be things we'd already discussed. The project definitely played a part in landing NVIDIA.”
Jared
Financial data for quant backtesting · AI-cleaned & categorized · shipped in 7 weeks
Student project story
Columbia University
“After I got to campus, I joined a real project with Lantr and Predexon. What put me at ease was having clear goals and real output every week — Larry didn't just point directions, he designed, coded, and iterated alongside me. When it shipped, I had work I could show and real experience I could go deep on in interviews.”
Michael
Predexon AI · Web3 content agent · shipped in 8 weeks · LinkedIn & X integration
Successfully admitted
University of Washington
“I'm not a CS student and I was worried I couldn't keep up. David broke the weekly tasks down clearly, I could always ask when I got stuck, and in six weeks the product was live — my parents actually use it now. I genuinely feel like I learned a lot.”
Kaitlin
Autonomous AI fitness coach · analyzes gym videos & set data · shipped in 6 weeks
The team behind them — your mentors run Predexon, a venture-backed US$5M Silicon Valley AI data startup.
UC Berkeley engineering · Top-25 SWE-bench agent
The final handoff
What is actually yours when the project is done?
Not just the memory of a course. The shipped product, demo, case study, and source files are organized and ready to use.
02 · Demo video
Two minutes that make the work easy to understand
03 · Case study
Problem, process, result
04 · Full handoff
Code & project files
Résumé & portfolio
01A shipped project recruiters can inspect
A live link, codebase, and concise case study can go directly into applications and referrals.
Interviews
02A project that survives follow-up questions
The demo makes the product clear; the decisions, tradeoffs, and implementation details are yours to explain.
The next role
03Proof that you can build with AI
You keep both the work and the process needed to take the next product from idea to launch.
Every file stays with the student.
The cadence
An eight-week delivery cadence, run like a real project
Week 1
01
Discovery
A 30-minute call, one-on-one: your direction and target roles.
Week 1
02
Plan
Mentor match; the roadmap goes into the Lantr Portal.
Weeks 2–7
03
Build
Weekly 1:1 sessions; tasks and code live in the Portal.
Weeks 6–8
04
Validation
Real data, real users where possible, tested against reality.
Week 8
05
Handoff
Present to the founding team; the portfolio is yours.
Our platform
The Lantr Portal: a head start on your first real work project
Our own platform runs the project like your first assignment on the job: your mentor acts as your manager — tasks assigned, progress checked, work reviewed — at the cadence of real work.
Explore the Lantr Portal
01
Tasks, progress, and reviews
Your mentor assigns tasks, tracks progress, and reviews every deliverable — the full workflow of a real engineering team.
02
Personalized learning modules
Lessons matched to your project and your starting point, delivered exactly when the build needs them.
03
Developer tools, provided
Every tool and resource the project needs comes set up in the portal — no environment wrangling.
04
Book your mentor in one click
Schedule one-on-one sessions directly inside the portal.
05
A written record of every review
Weekly recaps and review notes accumulate into the story you'll tell in interviews.
Past student projects
A selection of past student builds
Browse by target role — and find your direction.
01Adaptive coachMedicine & Health
target roles: health-tech & bioinformatics
Alumni · Kaitlin → UWAn autonomous AI fitness coach: analyzes gym videos and set, rep, and weight data, then designs and keeps iterating training plans for beginners.
02Document AILaw & Policy
target roles: legal-tech & compliance
A contract-risk review engine: checks real agreements clause by clause against statute and precedent, and generates a red-flag report.
03Data pipelineFinance & Investing
target roles: quant & investment research
Alumni · Jared → NVIDIAA financial data system for quant benchmarking and backtesting: collects market and filings data, with AI-driven cleaning and categorization.
04Autonomous agentBusiness & Startups
target roles: product & founding teams
An automated lead-generation engine: finds prospects, drafts personalized outreach, and tracks conversion end to end.
05Content engineMarketing & Media
target roles: growth & content
Student case · Michael, ColumbiaA content-marketing agent wired to LinkedIn and X: understands a company's business, then writes and publishes customer-acquisition content on its own.
06Code agentComputer Science & Data
target roles: software engineering & dev tools
An AI code-review agent wired into GitHub: reviews pull requests automatically, flags issues, and suggests fixes.
The team behind the program
Built by people who've lived it.
Lantr was founded by three Berkeley engineers who today run Predexon, a venture-backed startup valued at over US$5M, whose team, together, has already taught and mentored more than 2,000 students. Between them they've excelled in every major school system: the Australian ATAR, Cambridge IGCSE & A-Levels, American AP, and the IB. Their mission: prepare the next generation of ambitious students for a world being rebuilt by AI.
Larry Pang
Co-founder · CS & Mathematics, UC Berkeley
Moved from China to Australia at 13 barely speaking English; graduated dux of Trinity Grammar School, Melbourne with a 99.95 ATAR in VCE, the only student in 2021 with perfect scores in Maths Methods, Specialist Maths, and Physics. His perfect ATAR earned the Chancellor's Scholarship, worth A$10,000 a year at Australian universities. Founded an edtech startup at 16, scaling it to 300 students before Berkeley. Received 5+ offers of US$300K+ from Big Tech and unicorns (Amazon, Databricks, and Applied Intuition among them) and now builds venture-backed Predexon.
Jason Lee
Co-founder · CS & Mathematics, UC Berkeley
Has taught thousands of students, including 200+ through the premier New Zealand tutoring agency he's run since his own high school years at King's College, Auckland, where he completed six and a half Cambridge A-Levels, earning a 99.95 ATAR and the Chancellor's Scholarship, worth A$10,000 a year at Australian universities. Built a top-25 coding agent on SWE-bench, drew multiple Big-Tech offers of his own, and has shipped software at Amazon, startups, and Silicon Valley's top companies. A member of the Forbes Business Council, with editorials published on Forbes.
David Qu
Co-founder · EECS Honors, UC Berkeley
Took the American AP route at Punahou School, Honolulu, then graduated from Berkeley's highly selective EECS Honors program, reserved for the engineering school's top CS talent. Agent-systems researcher since 2023, with multiple Big-Tech offers and industry ML experience at Amazon, startups, and across Silicon Valley. The technical depth behind every student's build.
Dylan Lee
Founding Mentor · CS, Applied Math & Economics, Vanderbilt
A career of shaping high achievers: over ten years of teaching, with more than 1,000 students taught. An IB Top Scholar who earned three degrees at Vanderbilt in Computer Science, Applied Mathematics, and Economics; built software at Goldman Sachs for three years; worked in venture capital at Icehouse Ventures, New Zealand's leading early-stage firm; and co-founded a startup of his own.
0×
Chancellor's Scholarships: Larry and Jason, each on a perfect 99.95 ATAR
0+
students taught and mentored across the team before Lantr
$0M+
Predexon, the venture-backed startup they founded and run today
Millions
of users on AI products they've shipped
The Career-Launch AI Program
No packages. One program, built around you.
Everything — the project, the mentor, the pace, the timeline — is scoped in one free discovery call, then tailored around your target roles.
Always included
- Hand-picked private expert mentor, one-on-one
- Full access to the Lantr Portal — tasks, modules, and booking in one place
- Dedicated personal advisor, end to end
- Weekly written progress recaps
- Full portfolio: live build, demo video, case study
- The 2-month ship guarantee
Tuition is quoted in writing after your call, before any decision — no pressure, no obligation.
The 2-month ship guarantee.
A working AI project and a complete portfolio, shipped within two months, or we keep working one-on-one, at no additional cost, until it ships.
We guarantee the project and portfolio — not admission or hiring outcomes.
— The Lantr founding team · Berkeley, Amazon & Databricks engineers
Questions students ask
Frequently asked questions
No program can guarantee an offer — be wary of any that promises one. What we give you is the evidence recruiters actually respond to: a live project with a clickable link, a build story that survives follow-up questions, and an internship-grade portfolio.
Your project follows an eight-week roadmap from first call to Demo Day; if it isn't live by the end of week eight, we keep working with you one-on-one, free, until it ships. The guarantee covers the project and portfolio — not internship or hiring outcomes.
Often that's an advantage: an AI project built inside your own field stands out more than another course assignment, and it signals exactly the hybrid profile employers are hiring for. The project is scoped around your major and target role — no prior coding required.
Typically one private mentor session plus a few hours of independent build time in the Lantr Portal per week, scheduled around your course load. Exam weeks flex — your advisor plans the cadence into your semester.
Every program is fully customized — the depth of mentorship, project scope, and timeline are set on your discovery call. You'll receive a written recommendation with exact tuition before you make any decision, with no pressure or obligation.
Something else on your mind? Ask us on your discovery call →
The next step.
Book your free call. Two months from now, your résumé looks different.
A relaxed, no-obligation conversation about your target roles and recruiting timeline — every question answered.
Get Started
team@lantr.ai2-min form · 30-min call · no obligation