I'm a Machine Learning Engineer who's curious about applied deep learning in the fields of health and finance.
Core Skills: ML/Deep learning/ Data Engineering , technical writing, recommendation systems
β’ Machine learning: Supervised Learning, Unsupervised Learning, β’ Deep Learning: Computer vision, Natural Language Processing, Graph Neural Networks, Recommendation Systems, RL β’ Data Engineering: Data Pipelines(ETL/ELT), Change Data Capture, Data cleaning and processing, Explorative Data Analyses, Data visualization, and MLOPs
π©βπ» I'm currently working on working at mySKinci a skincare solution to provide personalized recommendations skincare routines using computer vision, GNN, RL and Generative AI.
π§ I'm curious about recommendation systems for different use cases in my free time I try to read papers and develop recommendation systems.
π€ I'm looking to collaborate on projects in agentic applications, interested in automating proceeses in finance and healthcare data but open-minded.
π€ I enjoy talking to ML/data practitoners on the Data Queries podcast. Check it @Data Queries on Spotify, Apple, and Google Podcast.
π I'm always at a PyData London meetup where I'm a volunteer, and going for tech meetups in any city I live is a monthly duty.
If was to at anypoint to go into research like a Phd program, I'd like to research into Causal AI for image generation in healthcare.
I love watching animes when I want to wind down.
β‘οΈ Fun fact. Delay gravitation was the fun part of debugging, chatGPT/LLMs kind of took the fun out.