Harsha Samavedam
Austin
Overview
2
2
years of professional experience
Work History
Machine Learning Intern
United States Navy
06.2024 - 08.2024
- Wrote a Support Vector Machine regression model to track the degradation of microelectronics due to radiation
ML for Water Contamination Detection
Independent Research
02.2023 - 04.2024
- Wrote a Random Forest model to detect water contaminants using networked electrochemical impedance spectroscopy.
Lead Researcher
Aspiring Scholars Research Directed Program (ASDRP)
06.2022 - 03.2024
- Applied ensemble models and reinforcement learning techniques to biological data
Education
Bachelor of Science - Computer Science
University of Texas
Austin05.2028
Skills
- Java
- Python
- MATLAB
- LabVIEW
- Unix Shell Script
- SQL
- Pandas
- NumPy
- Jax
- TensorFlow
- PyTorch
- SciPy
- Scikit
- PyMOL
- OpenCV
Affiliations
- Longhorn Racing Solar - Tracksim member
Awards and Certifications
- Gold medalist of the USA Computing Olympiad
- Amazon AWS AIF-C01 Certified AI Practitioner
Publications
- A. Samavedam, H. Samavedam, J. Wang, Multi-Type Water Contaminant Identification Using Electrochemical Impedance Spectroscopy and Machine Learning at a Network Edge, Proc. IEEE Globecom Conf., 2023
- H. Samavedam, S. Bhatnagar, A. Agarwal, S. Prajapati, N. Sankar, N. Mathews, R. Tuscano, S. Deb, G. Paul, R. Downing, E. Njoo, Using a Novel Iterative Parametrization Method and Machine Learning model to Classify DNA Binding Enzymes Through the Structure of the DNA Strand, Proc. Southern California Conf. Undergraduate Res. (SCCUR), 2023
- S. Bhatnagar, H. Samavedam, S. Prajapati, K. Aggarwal, A. Aggrawal, S. Birmiwal, T. Malpeddi, R. Downing, E. Njoo, Determining Trends in Key Pharmacokinetic Properties of FDA-Approved Therapeutic Drugs, Proc. Southern California Conf. Undergraduate Res. (SCCUR), 2023
- T. Malpeddi, E. Juang, R. Tuscano, K. Venkatesan, A. Bhardwaj, H. Samavedam, C. Lam, R. Downing, E. Njoo, A Comparative Analysis of Recent Progress in Blind Docking Softwares for Protein-Ligand Interactions, Proc. Southern California Conf. Undergraduate Res. (SCCUR), 2023
- H. Samavedam, S. Bhatnagar, A. Agarwal, S. Prajapati, N. Sankar, R. Downing, E. Njoo, Using a Novel Iterative Parametrization Method and Machine Learning model to Classify DNA Binding Enzymes Through the Structure of the DNA Strand, Southern California Conf. Undergraduate Res. (SCCUR), 2022
Patents
- Networked IOT-based Water Contamination Detection Sensors using Electrochemical Impedance Spectroscopy and Machine Learning, U.S. Provisional Pat. Ser. No. 63/695,838, 09/17/24, patent pending
- A Sensor to Detect Contaminants in Water in the Presence of Other Minerals, U.S. Provisional Pat. Ser. No. 63/695,843, 09/17/24, patent pending
- A Method to Auto-Calibrate an Electrochemical Impedance Sensor for Water Contamination Detection, U.S. Provisional Pat. Ser. No. 63/695,845, 09/17/24, patent pending
Timeline
Machine Learning Intern
United States Navy
06.2024 - 08.2024
ML for Water Contamination Detection
Independent Research
02.2023 - 04.2024
Lead Researcher
Aspiring Scholars Research Directed Program (ASDRP)
06.2022 - 03.2024
Bachelor of Science - Computer Science
University of Texas
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