Objective
Objective
ML Engineer trying to model randomness one day at a time.
ML Engineer trying to model randomness one day at a time.
Aug 2022 – May 2024
Georgia Institute of Technology, Atlanta, USA
Master of Science in Computational Science and Engineering
GPA: 4.0/4.0
Relevant Coursework: Natural Language Processing | Algorithms | Computational Data Analysis | Data Science for Epidemiology | Statistical Modelling and Regression Analysis | Time Series Analysis | Numerical Linear Algebra | Modelling and Simulation
Jul 2017 – Jul 2022
Indian Institute of Technology Madras, Chennai, India
Master of Technology in Data Science and Bachelor of Technology in Chemical Engineering (Honors)
GPA: 9.29/10.0
Relevant Coursework: Pattern Recognition and Machine Learning | Reinforcement Learning | Data Analytics | Mathematical Foundations of Data Science | Deep Learning for Computer Vision | Economic Network Analysis | Data Structures and Algorithms | Database Management Systems | Operating Systems | Discrete Math for Computer Science | Probability and Statistics | Big Data Lab | Parameter and State Estimation | Differential Equations | Numerical Methods | Process Optimization | Data Analytics Lab
Jul 2024 – Present
Apple, California, USA
Machine Learning Engineer
Jun 2023 – Dec 2023
Verition Fund Management, New York, USA
Machine Learning and Data Engineer Intern
Jan 2023 – May 2024
Neural Data Science Lab, Georgia Tech, Atlanta, USA
Graduate Research Assistant
Jan 2023 – May 2023
The Robotic Arm Project, School of Computer Science, Georgia Tech, Atlanta, USA
Part-time Research Assistant
Dec 2021 – Jan 2022
Gyan Data Pvt. Ltd, Chennai, India
Computer Vision Intern
May 2021 – Jul 2021
Fidelity Investments, Bangalore, India
Data Science Intern
May 2020 – Jul 2020
Kellogg School of Management, Northwestern University, Evanston, USA
Data Science Intern
May 2019 – Jul 2019
Detect Technologies, Chennai, India
Computer Vision Intern
Ramnath et al., Systems and methods for automated end-to-end text extraction of electronic documents, U.S. Patent 12217524.
R.Liu, S.Khose, J.Xiao, L.Sathidevi, K.Ramnath, Z.Kira, EL.Dyer, Latentdr: Improving model generalization through sample-aware latent degradation and restoration, IEEE Winter Conference on Applications of Computer Vision (WACV), 2024
Keerthan Ramnath, Shankar Narasimhan, Identification of Errors in Variables Linear State Space Models using Iterative Principal Component Analysis, International Journal of Control, 2022, doi: 10.1080/00207179.2022.2112089.
Vikram Singh, Keerthan Ramnath, Anurag Mittal, High Frequency Refinement for Sharper Video Super-Resolution and Deblurring, Computer Vision and Image Understanding, 2020, doi: 10.1016/j.cviu.2020.103034.
V.Singh, K.Ramnath, S.Arunachalam, A.Mittal, Going Much Wider with Deep Networks for Image Super-Resolution, IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, doi: 10.1109/WACV45572.2020.9093317