Turn beginners into
industry-ready engineers.
1-on-1 mentorship in Full-Stack & GenAI, taught by a working AI/ML Engineer. Real projects, production code, weekly mock interviews — not another recorded course.
Apply for a mentored seat
I mentor a small number of people at a time, personally. Applying puts you in the queue — referring friends moves you up it.
Why it's worth skipping ahead
Every seat is 1-on-1 mentorship from someone actually working as an AI/ML Engineer — not a TA, not a recorded video. That doesn't scale, which is exactly why getting in early matters.
Refer 2 friends who apply through your link and skip to the front of the queue — plus an instant syllabus PDF and a free 15-min priority call, no waiting.
You're applicant in line. Share your link below — every friend who applies through it moves you up the queue.
Built for people who need a job, not a certificate
Students choose this over recorded courses for the accountability, the flexible hours around college or work, and outcomes tied to actual hiring.
Career-focused 1:1
- Interview prep matched to current hiring bar
- Resume & LinkedIn rewritten for recruiters
- Referrals when your portfolio is ready
Flexible timing async-friendly
- Evening & weekend sessions
- Built around college or your day job
- Direct WhatsApp access for quick unblocks
Placement-ready outcome
- Portfolio projects recruiters actually ask about
- Weekly mocks with a scored feedback rubric
- A capstone demo ready by the end
The 24-week roadmap
16 weeks of core engineering, 8 weeks of specialization. Every week ships something real — no week ends without a working commit.
What you'll have shipped
GitHub repos, live demos, and case-study write-ups — the three things that move you past the first resume screen.
Next.js e-commerce store
Full-stack shop with sandbox payments, product catalog, cart, orders, and an admin dashboard.
AI doc Q&A (RAG)
Upload PDFs, chunk and embed them, then retrieve grounded, cited answers with an eval dashboard.
URL shortener + analytics
Rate-limited API with Redis caching, click analytics, and QR generation.
DevOps pipeline
Dockerized microservice deployed through GitHub Actions to AWS.
The placement pipeline
How you actually get hired, one stage at a time.
Milestones
Finish core weeks, ship one capstone, clear 60/150 DSA problems, resume v2 done.
Mock interviews
Weekly DSA, project, and HR mocks. Score 7/10+ to unlock referrals.
Referrals & drives
Targeted referrals when you're ready, plus a curated off-campus drive list.
Apply & track
Ten applications a week with an ATS-ready resume, outcomes tracked together.
No one can promise a job — this pipeline maximizes your odds if you consistently hit the milestones. Strong performers get referral opportunities shared directly.
Before you apply
Is this beginner-friendly?
Yes. We start from fundamentals and accelerate into projects fast. Prior basics help but aren't required.
What do I need to get started?
A laptop with 8GB+ RAM, stable internet, VS Code, and a GitHub account.
Do I get recordings of live sessions?
Yes — every live session is recorded, plus you get notes and assignments to work through async.
How do referrals actually work?
Once you hit milestone scores across projects and mocks, relevant referrals and drive links get shared directly with you.
Is there a certificate?
Yes, on completing the program and presenting your capstone demo.
Ready to start shipping?
Join the waitlist, or message directly on WhatsApp — either way you'll hear back fast.