About Me

Hello! 🔗

The following is a short introduction that’s meant to give a general info about me to the people that stumble on this site.

I’m a 23 year old Deep Learning Engineer working in Medical AI. I live in Kerala, India and recently graduated with a bachelor’s in Computer Science from Amrita University, Amritapuri.

I read a lot of books, blogs, papers and am always looking for new things to learn — check out my Bookshelf to see what I’ve been reading lately. I also play table tennis, swim, blog, kayak, and occasionally watch movies — I really like Wes Anderson films. Baking is my current obsession. Apart from English, I know Malayalam and Hindi. Talk to me about Deep Learning, tech, philosophy, movies, books, chess, dogs, or anything you find interesting. I’m always up for a good conversation.

During my undergraduate studies, I worked on many interesting research and open-source projects in AI, including contributing to DeepChem as part of Google Summer of Code 2024. I was also an active member and mentor of the student-run FOSS club, amFOSS, where I stayed back after classes to work on my projects, participate in hackathons and organise events. Being a part of this club helped me get exposed to the tech world and allowed me to meet and interact with a lot of amazing people.

If you are interested in the work I do, check out my GitHub profile https://github.com/gauthamk02 or my CV. You can reach out to me at gauthamkrishnanpriya@gmail.com. Also follow me on Twitter @gaushn_ to read my random thoughts and rants.

My Works 🔗

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Working on multiple Medical AI projects, primarily centered on real-time analysis of ultrasound imaging. My work spans research, infrastructure and engineering — building architectures for endoscopic ultrasound video analysis, developing real-time inference systems with sub-100ms latency, engineering scalable data pipelines for growing clinical data, and maintaining cloud data collection infrastructure. Beyond the technical work, I mentor junior team members in getting started with Medical AI, conducting literature reviews and working with large codebases.

DeepChem is a Python library for machine learning and deep learning on molecular and quantum datasets. I contributed to the library as part of GSoC 2024 for the project Torch Compile and Pytorch 2.0. You can checkout the Project Report for the technical details of the project. I have also made significant contributions to the library in the past including porting Progressive Multitask Model from Tensorflow to PyTorch, fixing bugs etc.

Worked on the ai-economist project under Tech4Good Lab that uses multi-agent reinforcement learning for modelling apprenticeship learning. The project constructs different scenarios of apprenticeship, mentoring, government policies and simulate them using RL to find and interpret the results.

Researched different methods of Sample Size Determination to predict the sample size required to train a Machine Learning model to achieve a certain accuracy and explored various algorithms and evaluated their effectiveness in different scenarios. As part of the research I also explored McNemar’s and other statistical tests for determining the better-performing model.
Report

Timeline 🔗

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2025 🔗

• ➔ Graduated from Amrita University

  Graduated from Amrita University with a bachelor's degree in Computer Science.

• ➔ Joined TeXNano as a Research Engineer

  Joined as full-time Research Engineer. Worked on multiple Medical AI projects.

2024 🔗

• ➔ Joined TeXNano as a Research Intern

  Working on building AI-assisted tools for the Endoscopic Ultrasound(EUS) procedure.

• ➔ Got Selected for Google Summer of Code with DeepChem

  Integrated torch.compile into the library over the summer as part of the program.

• ➔ Attended GitHub Field Day - Hyderabad

  A one day conference bringing together technical student community leaders

• ➔ Gave a talk on the Transformer Architecture

  Presented a talk on the working of LLMs and the Transformer architecture in FOSS United Kochi Meetup.

2023 🔗

• ➔ Research Team Member at Tech4Good Lab, UCSC

  Worked on the ai-economist project under Tech4Good Lab.

• ➔ Started contributing to DeepChem

  Ported DeepChem's Progressive Multitask Model from Tensorflow to PyTorch.

• ➔ Won Hackverse 4.0

  First prize winners of the hackathon, Hackverse 4.0, organised by NITK Surathkal and Devfolio.

• ➔ Joined EUS-ML project

  First major project undertaking.

2022 🔗

• ➔ ACM Internship

  Completed a 2-month internship with and wrote a report on Sample Size Determination.

• ➔ First Hackathon

  Participated in my first offline hackathon.

2021 🔗

• ➔ Joined amFOSS

  amFOSS is one of India's Leading Student-run FOSS clubs.

• ➔ Joined Amrita Vishwa Vidyapeetham

  Started my undergrad in Computer Science with specialization in AI.