Interested in projects that are at the intersection of Data & Machine Learning.

I am a Computer Science Masters graduate with a comprehensive skill set acquired during my 2+ years as a Software Engineer at Hewlett Packard Enterprise.

I am currently working as a Machine Learning Engineer at Rothamsted Research , working with the Knet Miner team to enhance the use of AI and Machine Learning in the bioinformatics space.

My professional journey has equipped me with valuable skills in automating infrastructure, utilizing RESTful APIs, and deploying in a CI/CD environment. Additionally, my academic pursuits have focused on applying Machine Learning algorithms to Vision and NLP datasets. My Master's Thesis on training Score-based generative models with Non-Gaussian noise can be found on Indigo-UIC. The research was also selected for poster presentation at the MMLS 2023 conference. You can find the pre-print version of this paper on arxiv .

I possess proficiency in Python, AWS, GCP, Kafka, Spark, Ansible, bash scripting, and working with SQL databases. My diverse experiences have honed my abilities in backend development, covering areas such as automating infrastructure, database management, designing data pipelines, and creating data models.

You can find my soccer analytics articles on my blog. My weekly data driven pieces on Tottenham Hotspur Women can also be found on the Spurs Women Blog.

If you want to know more about me or my work, please don't hesitate in reaching out!

Resume Google Scholar Football blog


Get In Touch

If you want to know more about me or my work, please don't hesitate in reaching out.