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Blog
3 min read
Starting as a working student at Sereact, Kanishk fascinated the team with his passion for maths. He decided to stay, write his master's thesis and become a full-time team member. Read more about his motivation and his secret to unwind in this interview.
I develop self-supervised deep-learning models that don't require hand-engineered labels. This approach involves creating explainable math for optimization, which requires intensive thinking and brainstorming. It's rewarding to see the models develop new mathematical models and simplify existing ones during their optimization process.
I recently submitted a paper to a very well-known scientific conference. My paper introduces a groundbreaking method for training deep-learning models that achieve exceptional generalization of object representations in images. This novel method reduces computation resources significantly more than the originally proposed framework, showcasing its outstanding efficiency. This achievement is a significant highlight in my career.
Not anyone in particular. I would rather discuss with the professors who taught me theoretical math foundations for intelligent systems and learn how to think math better.
I paint with a Renaissance theme, which usually keeps me occupied as there are many fine details to cover. Furthermore, I like to barbecue and play football.
I don’t need any as they come up with additional responsibilities (Quoting Uncle Ben from Spiderman)
Seeing my models and algorithms come to life in the real world through robotics is motivating. Having a background in robotics engineering, I enjoy the challenge of applying AI with robotics to solve practical tasks. These interdisciplinary challenges motivate me to learn outside work hours and stay updated with the latest methods. This continuous learning and application process has greatly contributed to my professional development.
The beer crate and the bottle of Aperol in the fridge (it is summer).
One Sunday, tired after playing football, I craved a bottle of chilled water from the fridge. However, my laziness prompted me to consider engineering robots equipped with AI that could assist me. Recently, I have been enthusiastic about applying large language models like PickGPT, which possess visual scene understanding integrated with robotics to tackle various tasks. This excitement has fueled my desire to delve deeper into this area, with the ultimate goal of developing Artificial General Intelligence (AGI) and creating a robot capable of fetching me a drink from the fridge.