It’s a Tuesday afternoon in the squad workroom. Three weeks before his first placement interview, Navaneeth’s mentor has posted in the squad channel: “mock round tomorrow morning. Walk me through your last build. Not slides. The actual code.”
The mock isn’t optional. It isn’t a favour. It’s the round that decides whether Navaneeth finds out what he doesn’t know before the company does.
He’d come to Kalvium two years earlier, walked into the first Monday of Year 1, looked at the schedule, and thought it would break him. By Tuesday of that first week, he’d revised the opinion: the hours were hard, but he wasn’t bored. By Year 2, he was building full-stack projects that ran on real servers. By the time he got the shortlist email from Yellow.ai, he had two years of real decisions behind him, not academic exercises. Code that ran. Code that broke. Code he’d fixed at 11 PM and explained to a mentor the next morning.
Here’s what the preparation for that interview actually looked like, and what companies like Yellow.ai are evaluating when they invite a Kalvium student in.
The mock round and what it’s really testing
Squad mock sessions don’t follow a fixed question list.
A mentor, or sometimes a peer from a different squad, plays the interviewer. The brief is deliberately loose: walk me through what you built, then I’ll ask you things. No predefined question set. No gentle warm-up. The student has to know their own codebase well enough to walk a stranger through every architectural decision in it, including the decisions that didn’t survive the first attempt. The mentor looks specifically for the gap between what the student says they built and what the code actually shows. That gap is exactly what a company’s technical round will find, if it’s there.
Behind the mock rounds is a daily structure that’s been running since Semester 1. DOJO: coding practice built into the programme by design, not by suggestion. Six belt levels per language (Java, C++, JavaScript, Python), each tested with timed problem sets under real pressure, no hints, logged every step. By the time a student reaches their first placement cycle, they’ve spent hundreds of hours thinking about code under constraints. Data structures and algorithms aren’t the thing they’re cramming the week before an interview. They’re the thing they’ve been doing every morning.
What DOJO builds, more than any single skill, is the habit of thinking clearly about a problem before writing the first line of code. That habit is visible in interviews in ways that are hard to fake at short notice.
The Year-2 loop that changes the room
Most engineering programmes keep real software projects for Year 3 or Year 4.
Kalvium begins work-integrated projects in Semester 3, which is the first semester of Year 2. The timing matters for placement conversations in one specific way. A student who’s been writing production-adjacent code for two years arrives at a placement interview with a different kind of answer to “what have you built?” Not a project assembled in four weeks before campus placements opened. A body of work that includes full-stack applications, database designs, API integrations, deployed services, and, for students on the AI and Future Technologies (AIFT) track, working LLM integrations and agent implementations. The answers are specific because the work was specific.
Yagna Kusumanchi is in Year 4, interning as a Software Development Engineer at Morgan Stanley. He taught himself Python at 14 and wrote a book a state university later adopted as a reference text. He still chose a structured engineering programme because he recognised the gap between writing about code and shipping code that runs in production. What he brought to the Morgan Stanley interview wasn’t the book. It was two years of engineering decisions he’d made inside a real programme, reviewed by engineers who knew what they were looking for. The feedback loops built his ability to explain his own reasoning clearly, without a script.
The Year-2 loop isn’t accelerated because Kalvium students are exceptional. It’s designed that way for the whole cohort. Work-integrated projects run from Semester 3. By Year 3 and Year 4, students are on internship tracks with external partner companies, contributing to open-source codebases, or building AI-native products as part of the curriculum itself. What ends up in their portfolio isn’t a last-minute addition before placements. It’s two or three years of actual work.
What companies are actually evaluating
The Kalvium Career Advisory Board has 24 tech leaders.
The group includes Nithin Kamath (CEO, Zerodha), Rahul Chari (CTO, PhonePe), Kunal Shah (Founder, CRED), Ankit Bhati (Co-Founder, OLA), Sarv Saravanan (VP, Microsoft), and Abilash Nair (APAC Recruiting Leader, Google). Their thinking runs through the programme structure, the DOJO problem sets, and the project briefs that define what students build across the four years.
Sarv Saravanan, the Microsoft VP on the board, has specifically highlighted Kalvium for focusing on development style and environment rather than just programming languages. Companies don’t hire for Python syntax knowledge in isolation. They hire for the engineer who knows how to work inside a real codebase, under constraints, with other people, on a deadline. Those aren’t things you learn in a week of interview prep.
Aswath Premaradj, founder of Zentience, described the experience of selecting from a Kalvium cohort this way: the students’ full-stack engineering skills were strong enough that choosing among them was genuinely hard. He could only take four.
Amar Prabhu, CTO at Rupeek, described it in similar terms: students he’d worked with brought technical knowledge and hands-on experience together, and showed the ability to navigate challenges with confidence and adaptability. None of those descriptions are about algorithm memorisation scores. All of them are about the quality of thinking that builds up over two or three years of doing actual engineering work.
The companies that recruited from Batch 2026 include Morgan Stanley, PhonePe, Thoughtworks, Lowe’s, Yellow.ai, Tata 1mg, Maersk, Medable, Rupeek, Clari, Raksul, and 7-Eleven, among more than 40 recruiters. The sector spread covers AI, SaaS, FinTech, HealthTech, and beyond. 28% of placed students took international roles.
When the invitation arrives
Not every student’s first placement cycle goes the way they expect.
Nahda’s didn’t. Five companies said no in her first cycle, including one she’d specifically prepared for, learning a new language and building small things in it before the shortlist came out. The shortlist went to one student in her class. She wasn’t that student. The preparation didn’t prevent the rejections. What it changed was how she responded to them.
Navaneeth’s cycle ended differently: a placement at Yellow.ai. By the time he walked into the actual interview, he had the codebase, the DOJO hours, and two years of mentors finding gaps in his reasoning before any company did. What he also had was an honest read on what he knew well and what he didn’t know yet. That self-assessment, built across hundreds of feedback sessions, made the interview a conversation rather than a test he was hoping to survive.
The same qualities Kalvium selects for on the way in are the ones companies hire for on the way out. The admission process involves a Psychometric Assessment, the Kalvium National Entrance Test, and an In-Person Interview held after the KNET result. The KNET tests learnability, problem-solving, and communication: not a fixed syllabus, not rote recall, the same faculties a good placement interview is measuring four years later. The loop is intentional.
What we learned watching the first cohort through placements
As of March 2026, 82.40% of Batch 2026 was placed, with the batch still months from graduation. The median package was ₹16.5 LPA across domestic and international roles. The range was ₹15 LPA to ₹36 LPA.
Three things stood out watching that cohort go through placement cycles.
- Students who had shipped real things in Year 2 talked about their work differently in interviews. Not better rehearsed. More specific. They could name the decision, the trade-off, and the result, because they’d lived it.
- The hardest parts of the interviews weren’t the algorithm problems. They were the system-design conversations that depended on having thought about design from the inside of a real project. Students who’d done that thinking handled those conversations. Students who hadn’t couldn’t prepare for them in a few weeks.
- The placement cycle isn’t the end of the preparation. It’s the first time the preparation is tested by someone outside the programme. The mentors, the mocks, the DOJO sessions, the project reviews: they remain in the picture long after the first role. The interview is one external test in a four-year build.
For the full picture of what the Kalvium programme looks like, the complete guide for families has everything a student or parent needs before deciding.