I am Harshit - a recent graduate with Computer Engineering from Trinity College Dublin. I aspire to be one of an engineer who wants to build systems and solutions that make a huge impact.

Primarily Fullstack Engineering roles. Also open for mobile development

Currently working on Superscaler AI - one platform for a unified access to image and video upscaling models.

I am passionate about Hardware Engineering and specially in the area of More than Moore

MedTech R&D, semiconductor engineering, More than Moore, scientific machine learning, deep learning toolchain for computational modeling, surgical robotics, medical devices, artificial organs, biomedical signal processing, Rust for low-level R&D tooling, embedded systems, hardware engineering, privacy-first tooling, NLP in medical education, technical architecture, knowledge sharing with peers.

Scientific Machine Learning and Deep Learning Toolchain for Computational Modeling

Hi, I am a recent Computer Engineering graduate from Trinity College Dublin. I am passionate about software development, specifically in how it intersects with Cybersecurity and secure coding practices. Away from the screen, I’m a huge sports fan. I represented Trinity College Dublin in Badminton and also enjoy playing Cricket and Table Tennis. I’m a naturally adaptable person who can quickly integrate into new teams and environments. I stay highly motivated by keeping a balance: staying deeply focused on my goals while maintaining a relaxed and positive mindset. I am always looking forward to work with new people in new environments to grow as an individual and to expand my knowledge further by talking to people with diverse skillset.

My desire is to connect with people who have a interest in cybersecurity and secure coding practices. I am always looking to expand my knowledge in AI and it is always great to connect with people that help me in doing that.

From working with as simple as designing a search engine to going on to work on something on a larger scale with machine learning, I have explored numerous areas. My greatest achievement is my conference research paper that was published which highlighted the basic navigation problem of google maps/apple maps to find the optimised path. I also worked on a project that combined differential privacy and machine learning to test the new avenues in medical health infrastructure.