Kifayath

LinkedIn

Learning and contributing towards training Embodied AI.

Based in Bengaluru, like working close to the action - figuring things out, coordinating people, building systems, and getting things across the finish line.

> gets the job done.
> a wanna-be polymath.

Kifayath

Moved across operations, data annotation, partnerships, events, and market research. Different problems, same general approach: understand what needs to happen, get the right people moving, and take things from 0 > 1 > n.

Currently

Part of the ops team at microagi/shift app, helped in building India operations from the ground up.

Work involved delivering five-digit volumes of egocentric video data captured in controlled environments, working with and unlocking annotation vendors, and running fast-moving annotation operations across QA/QC, segmentation, and labeling.

Some of those have meant 24-hour sprints and thousands of hours of data moving through the pipeline.

Alongside that, exploring an open, crowdsourced marketplace for egocentric video annotation and labelling.

Before / Along the way

Have spent a fair amount of time around communities and events too.

Led Bangalore Community & Events for India Blockchain Week, and previously worked on IBW on-ground in Bengaluru - from VIP Night and registration to volunteer coordination, logistics, and whatever else needed to get done.

Like this kind of work: lots of moving pieces, real people, real constraints, and very little room for "someone else will handle it."

Education

Briefly studied BTech at UVCE before changing direction.

Currently pursuing my bachelors at IIT Madras.

Things I am good at

Operations, market research, partnerships, team leadership, communication, and generally making things happen when the path is not completely obvious.

Particularly interested in Embodied AI, data operations, marketplaces, communities, and building things from zero.

Say hi

The easiest place to find me is on email.

Always happy to talk about interesting problems, ambitious projects, or things that probably should not be possible on the timeline given.