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Kevin V

AI/ML Engineer with an MSc in Data Science

Python

pytorch

PyTorch

LLMs

Machine Learning

R

Data Analysis

ionicons-v5_logos

JavaScript

Remote/Hybrid

Hey! I'm Kevin. Currently, I'm automating the boring stuff @ Pretrain. I graduated at the top of my class with an MSc in Data Science and Analytics from Royal Holloway, University of London, with prior experience as a Product Engineer and as a Machine Learning Engineer. I'm skilled at Deep Learning and Visualisation using Python and R as well as MLOps. I have a keen interest in Language Models, Retrieval Augmented Generation, and Autonomous Agents. I work well in interdisciplinary tech teams and follow sustainable programming practices with a focus on system design and how problems are solved. I make it a point to be active in the AI Community, and currently serve as a Community Manager at the London chapter of AICamp, where I help organise events and workshops on AI for hundreds of people every month.

What I've been working on

Lately I've been dabbling in projects such as:

Find more of my work on my GitHub.

My professional history

I'm a certified AWS Solutions Architect Associate and Azure Data Scientist Associate. Find an up-to-date copy of my CV here! I worked for two years as a Product Engineer at Sprinklr , where I worked with a tech stack of React.js, Redux, and GraphQL among others. I also won the award for best performer in my team for two consecutive quarters. That was followed by a masters in Data Science and Analytics, where I took courses on ML, Data Visualisation and EDA, Deep Learning, and online ML, among others. My academic focus was on NLP, which naturally led me to an interest in LLMs and AI as we currently see them. If you want to check out my thesis on Abstractive Summarisation, you can find a copy of it here .

Previously, I've interned as a Machine Learning Engineer at Flagright , a YCombinator-backed FinTech startup that fights Financial Fraud and Money Laundering.

In my free time, I love listening to kpop, looking at cats on the internet, and reading political economy. I also like spending time reading what's up-and-coming in AI on arXiv. I play music and sing as well, and I quiz sometimes. (always up for a pub quiz!)