Kamal Reddy · Electronics & Communication Engineering · Bengaluru
Interfaces matter. But the work I find most interesting is underneath them: how a system reasons, what evidence it trusts, how it handles uncertainty, and whether the product remains useful when the demo ends.
I study ECE at BMS Institute of Technology & Management and build across AI systems, decision tools, local-first software, civic tech, and experimental interfaces.
input noisy problem
process understand → model → prototype → test
output something clear enough to use
bias useful > flashy, explainable > magical, shipped > hypothetical
CareerCase — an explainable career exploration system for India. Its recommendation engine uses a versioned, deterministic 11-component matching model, while AI is reserved for assisted exploration and explanation rather than silently deciding the score.
open live product ↗ · inspect the system ↗
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Career decisions that show their work.
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A calmer relationship with your computer.
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Verification without leaving the page.
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From heat maps to decisions.
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A second brain that can stay on your machine.
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Engineering in service of atmosphere.
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12 builds, experiments & prototypes →
SIGNAL |
SYSTEM |
STORY |
|---|---|---|
| What is actually happening beneath the noise? | How do the pieces interact, fail, recover and scale? | Can a human understand why this matters? |
| ECE · data · sensing · evidence | AI · architecture · product logic | interfaces · cinema · communication |
That overlap is the thread through most of what I build.
What I care about more than the stack
- making AI behavior inspectable instead of mystical
- keeping product logic separate from generative output when it should be
- designing demos that survive contact with real users
- local-first and privacy-conscious architecture where it makes sense
- interfaces with a point of view, not generic dashboard chrome
I also work on curation at TEDxBMSITM, serve with the Rotaract Club of BMS Yelahanka, and spend an unreasonable amount of time thinking about cinema, product decisions, and why some ideas feel inevitable only after somebody ships them.
find the signal · understand the system · tell the story