Feedback from Developers and Teams Who Attended
Below is a selection of feedback from people who've been through Kaevo's programmes. Some reviews are brief, some are detailed — that range reflects how participants experienced the sessions.
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Participant Feedback
I'd been writing ML pipeline code for about a year without really understanding what was happening at the hardware level. The Introductory Workshop filled that gap in a way that actually made sense. The activities helped more than I expected — I left with a clearer mental model of why certain operations are slow.
May 2026 · Introductory WorkshopThe Applied Skills Series was worth the time. Four sessions is the right length — enough to go properly through the material without dragging. The workload reasoning framework from session three is something I've actually used since, when evaluating hardware options at work. The reference handbook is well-organised too.
April 2026 · Applied Skills SeriesSmall group made a real difference. There were maybe eight people in the introductory session and the facilitator was genuinely responsive — not just delivering prepared answers. I had questions about memory bandwidth that were quite specific to what I was working on and got a proper answer.
May 2026 · Introductory WorkshopI've been to training sessions that felt like they were designed to sell you the next course. This wasn't like that. The content was direct and the facilitator wasn't over-enthusiastic about everything — just thorough. I appreciated the honesty when I asked about topics that were out of scope for the session.
March 2026 · Applied Skills SeriesThe reference notes from the Introductory Workshop are still on my desk. They're formatted in a way that's actually readable — not just a dump of information. I've pulled them out a few times when I needed to explain something to a colleague who hadn't been through the session.
April 2026 · Introductory WorkshopI came in with a DevOps background and no real ML hardware experience. The Introductory Workshop was pitched at the right level — I wasn't lost, but I also wasn't sitting through things I already knew. By the end I had a working vocabulary to discuss hardware choices with the ML side of our team. That was exactly what I needed.
May 2026 · Introductory WorkshopTeam Engagements in Detail
Software firm upskilling engineering team on ML infrastructure decisions
Corporate Training Package · Kuala Lumpur · March 2026The engineering team was making hardware procurement decisions for ML workloads without a shared framework for evaluating options. Different team members had different approaches, which made internal discussions difficult and slowed down decisions.
Kaevo delivered three sessions tailored to the team's specific hardware context and procurement workflow. The scoping session identified that the team needed shared vocabulary and a consistent reasoning process, not deep individual expertise. Content was built around that.
The team reported noticeably faster internal alignment on hardware discussions within a month of the programme. The reference handbook was circulated internally and used as a shared reference point for subsequent procurement conversations.
"The scoping session upfront meant the content was actually relevant to our work. We weren't sitting through a generic programme hoping it would apply."
— Engineering LeadDeveloper building foundational knowledge before joining an ML infrastructure team
Introductory Workshop + Applied Skills Series · Cyberjaya · Feb–Apr 2026A software developer had accepted a role on an ML infrastructure team and had a two-month window to build hardware knowledge before starting. Online resources weren't giving her the structured understanding she needed.
She attended the Introductory Workshop in February, then followed up with the Applied Skills Series starting in March. The programmes connect deliberately — the introductory session built vocabulary the series could then assume.
She started her new role with a working understanding of hardware behaviour and the reasoning framework from the Applied Series. Her feedback noted that the reference materials were particularly useful during the first weeks at work, when she needed to cross-check terminology quickly.
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