I am currently an ML Engineer at AstraZeneca.

I hold a B.Tech degree in Computer Science from VIT University, My research interests primarily lie in the intersection of Applied ML Research, Trustworthy AI and Generative Modelling. My work focusses on building Intelligent systems for Life-science and Medical Industry, by using emerging technologies such as using custom Neural Network Architectures and Applied Mathematics.

I have worked with Dr. Venkata Phanikrishna B in modelling 1D EEG Signals and sucessfully completed a funded project in VIT from GloballyGI on Calorie Prediction using images.

Contact email id: sujaykumar dot reddym at gmail dot com

Work Experience

• Graph ML Intern
  AstraZeneca (R&D IT), February 2024 - Present
  

  Deep Synergy Prediction (DSP) introduces a novel approach for the Drug-Drug Interaction Task, leveraging a multi-head GIN-GAT network known as Multi-Deep DDS. Benchmarked on ULTRA3G, it assesses performance metrics such as MRR (Mean Reciprocal Rank) and Hits@10.

• Research Intern
  National Institute of Technology, Calicut, May 2023 - July 2023
  

  Under the PM Gati-Shakti Scheme at NIT Calicut, Pragati, addressed the problem of forecasting electricity demand in the Delhi region. Employed ML algorithms, processed reports from various ministries into datasets, and utilized time series forecasting, feature extraction, and models like Ridge and Lasso Regression.