30-minute AI career strategy session
One call to find the gap between where you are and the AI role you are aiming at.
Built for engineers targeting AI, ML, GenAI, and MLOps roles. We look at what you have shipped, what your materials actually say about you, and where interviews are likely to break down — then you leave with a plan you can work through, instead of practicing at random.
Your call is with
Vivek Tripathi
Founder
- Session length
- 30 minutes
- Format
- Personalized 1:1 strategy
- Best for
- AI, ML, GenAI, and MLOps roles
Four things a call is good for.
Take one and we go deep, or bring a mix. The session is yours to spend.
Resume & LinkedIn review
A line-by-line read of what a hiring manager sees first. We cut the filler, move the systems you actually built up front, and make the AI work legible to recruiters and engineers alike.
Mock interview practice
Technical, behavioral, or recruiter-style rounds, run properly and scored out loud. You hear where an answer lost the room and how to rebuild it before it costs you a real loop.
System design strategy
RAG pipelines, LLM architecture, LLMOps, and evaluation — walked through the way an interviewer probes them, with the production tradeoffs you are expected to name without being asked.
Career positioning
Breaking into the field, moving up a level, or weighing competing offers. We work out which story to tell, which roles fit the evidence you have, and what to build next.
What we can cover.
One focused call, three overlapping jobs. Most sessions touch all of them because they are the same problem seen from different angles.
- Consultation on where your AI career is actually stuck, not where it feels stuck
- Resume and LinkedIn review against the roles you are applying to this month
- Interview strategy: which rounds to drill, in what order, and what a strong answer sounds like
Who it is built for
Career switchers
Moving into AI from backend, data, QA, or analytics, and unsure which of your existing work counts.
Experienced engineers
Shipping software already, now adding RAG, agents, or LLM infrastructure to your track record.
Senior candidates
Interviewing at a level where architecture judgment, not syntax, decides the outcome.
High-stakes prep
An onsite, a final round, or an offer decision landing in the next couple of weeks.
Built for serious preparation.
This is a working session. Come with the materials and the target role, and expect to be pushed on both.
Honest feedback
If the resume is not working or the design answer would not pass, you hear it in the first ten minutes. Generic encouragement costs you interviews.
Practical positioning
Claims tied to systems you can defend under questioning — no borrowed vocabulary, no inflated scope you would have to walk back.
Clear next steps
You leave with an ordered list: what to fix this week, what to build next, and which rounds to rehearse first.
Book the session.
Booking a call needs a free account, so your session details stay attached to it.
Sign in to book
Booking a call needs an account. It takes a moment, and it is the same free account that saves your lesson progress.
- Your session details and any follow-up notes stay in one place.
- We can pick up where the last call left off instead of starting cold.
- You can leave a review afterwards, which only people who booked can do.
A focused working session, not a generic career chat.
Bring a resume, a LinkedIn profile, a portfolio project, or just the job description you keep coming back to. Anything concrete is enough to work from.
You leave with sharper positioning, better answers to the questions that were costing you rounds, and a plan short enough to actually finish. No slide deck, no recorded lecture — thirty minutes on your specific situation.
AI engineer interview prep
Live rounds, scored honestly, with the rebuild done on the call.
Resume & LinkedIn review
What a hiring manager reads in thirty seconds, fixed in front of you.
RAG, LLMOps & system design
Architecture answers with the tradeoffs stated, not implied.
How the 30 minutes go
1:1 · video- 0–5 minWhere you are and which role you are aiming at
- 5–20 minThe work itself — materials, mock round, or design walkthrough
- 20–30 minThe ordered plan you leave with
Send your materials ahead of the call if you want the review time spent on fixes rather than on reading.
Interview session reviews.
Illustrative examplesThese are written examples of the kind of outcome a session aims for, not client reviews. Real reviews from people who have booked will replace them here as they come in.
RAG portfolio positioning
“I had three half-finished RAG demos and no story tying them together. We kept one, rebuilt the write-up around the retrieval tradeoffs, and it became the thing every interviewer asked about.”
AI Engineer Candidate
From QA to AI reliability
“A decade of flaky-test triage maps cleanly onto eval harnesses and regression suites for LLM features. I stopped apologizing for my background and started leading with it.”
Senior SDET
Production ML interview prep
“The mock interview exposed how vaguely I talked about serving latency. We fixed that in one pass.”
Machine Learning Engineer
GenAI product storytelling
“My demo worked; my pitch didn't. Reframing it around the failure modes we designed for made the same product sound engineered rather than assembled.”
GenAI Product Builder
Platform and architecture clarity
“We sketched the whole pipeline on one page — ingestion, evals, observability — and the gaps I had been vaguely worried about turned into a short, ordered list.”
MLOps Engineer
A focused career roadmap
“I had been practicing whatever showed up in my feed. Thirty minutes gave me an order to work in, and reasons for the order.”
Career Switcher
Stop preparing at random.
Thirty minutes on your resume, your answers, and your architecture story — and an ordered plan for the weeks after.