Placement officers book AI sessions because companies are asking for AI skills, then watch students give the same interview answers as before. The sessions that change outcomes are specific, hands-on and timed to the placement calendar. Having spoken to students and reviewed hundreds of their projects, here is what I would schedule if I ran a placement cell.
Sessions that move interviews
- Portfolio review clinics — a practitioner reviews ten student projects live and says what a recruiter would think. Students rewrite their READMEs that night. See portfolio over certificates.
- Mock technical interviews for AI roles — the questions in GenAI engineer interview questions, with feedback on the answers.
- A one-day build workshop — students leave with a deployed project to talk about; see a one-day GenAI workshop syllabus.
- Honest career talks — what GenAI roles actually involve, from someone doing one, including the unglamorous parts.
Timing across the year
- Start of the pre-final year: the build workshop, so projects exist by placement season.
- Mid-year: portfolio clinics and mock interviews.
- Two months before drives: a session on how to talk about projects — the story, the numbers, the trade-offs.
- Final year, post-placement: sessions for the students still searching, focused on remote and startup roles (see getting a remote GenAI role from a tier-2 city).
What to ask speakers for
Specific feedback, not motivation. A rubric students can use on their own projects. A follow-up office hour. And an honest read on which students are ready — practitioners notice, and some of them hire or refer.
Turning a visit into internships
Ask the speaker whether their company or network takes interns, and have three students' portfolios ready to share the same day. SCULT INDIA has taken on students I met through sessions and communities; most practitioners have a similar story. The visit is the introduction; the placement cell's follow-up is what converts it.
Placement cells can arrange any of these formats through the invite page; sessions for student communities are free.
About Pranjul Rathour

Trophy and certificate after a win

Walking a room through evaluation criteria
Pranjul Rathour is a GenAI engineer from Kanpur, India, and CTO at SCULT INDIA, currently shipping production RAG,
fine-tuning and agentic AI systems, mentoring 200+ students through TechVerse Enclave, and judging and speaking at
student hackathons across India. Updated 2026-09-06.
Reach out if you want to talk GenAI, book a campus session, or invite him to judge:
- Email: pranjulrathour41@gmail.com
- Invite / talk menu: https://pranjulrathour.scult.in/invite
- Portfolio & blog: https://pranjulrathour.scult.in
- LinkedIn: https://www.linkedin.com/in/pranjul-rathour/
- X: https://x.com/PranjulRathourx
- Instagram: https://www.instagram.com/pranjulrathour.in/
- Bluesky: https://bsky.app/profile/pranjulrathour.bsky.social
- GitHub: https://github.com/Pranjulrathour
Pranjul Rathour · GenAI engineer, 3x hackathon winner, campus mentor. Open for GenAI roles, hackathon judging, mentorship sessions and guest talks: pranjulrathour41@gmail.com · Invite me to your campus
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