Akshat Kalra
San Francisco,CA
Overview
3
3
years of professional experience
Work History
Data Engineer
UCSF Epilepsy Center
07.2024 - Current
- Implemented the development of seizure offset detection algorithms to scale the seizure durations inventory across past intracranial EEG recordings, consolidating up to a database of 300+ seizure clips across 80 patients.
- Built the computational infrastructure over Natus electrophysiological data acquisition software to enable neuro-intervention research for stimulation mapping studies done over UCSF's EMU patients.
Machine Learning Intern (Part Time)
Attune Neurosciences
01.2024 - 06.2024
- Built a 3D volumetric UNet model to label human skull from anatomical MRI images while using the reference of CT images thereby improving the segmentation accuracy of skull geometry for better understanding attenuating factors of transcranial ultrasonic waves.
- Analyzed the therapeutic effects of Low Intensity focused ultrasound stimulation using connectivity level changes in the default mode network observed in the fMRI scans.
Research Assistant (Part Time)
Brain and Memory Care Lab
12.2022 - 06.2024
- Engineered a Closed loop Neuromodulation system between EEG and PhotoBioModulation as an autonomous therapeutic mechanism for people suffering with neurological disorders via fine-tuning the stimulation parameters like frequency, intensity and duration using neuroimaging metrics like interhemispheric connectivity and alpha entrainment.
- Computed the neural correlates like Frontal Alpha Asymmetry, Peak Alpha Frequency in Mu Desynchronization to compare along smoothness metrics during a Virtual therapy to investigate the efficacy of reducing chronic pain.
Machine Learning Intern
Primum Health
06.2023 - 09.2023
- Built a recommender system augmented by cancer oriented ontologies to filter out the most relevant oncology experts based upon a clinical query requested by a local medical professional. Thus eliminating unnecessary manual time taken in searching for the right oncologist to get their perspectives about significant time-sensitive clinical complications.
- Expanded the knowledge base of the recommender system to boost the relevancy scores by extracting publications and clinical trials of associated oncologists from PubMed, while filtering internal queries through a De-Identification model built using Adamw optimizer to redact any personal information involved in the conversations.
Software Developer (Part Time)
Frugal Innovation Hub
04.2023 - 06.2023
- Implemented autoscaling on AWS to optimize the allocation of instances for projects using Sagemaker, Lightsail, EC2 instances.
- Supervised the cloud storage and GPU processing for over 10 undergraduate senior design CS projects.
Education
Master of Science - Computer Science
Santa Clara University
Santa Clara, California06-2024
Bachelor of Science - Computer Science
University of Delhi
New Delhi, India07-2021
Skills
- Python
- EEG Analysis
- C
- fMRI analysis
- ETL development
- SQL
- Matlab
- Linux
- Pytorch
- Tensorflow
- JIRA
- Snowflake
Timeline
Data Engineer
UCSF Epilepsy Center
07.2024 - Current
Machine Learning Intern (Part Time)
Attune Neurosciences
01.2024 - 06.2024
Machine Learning Intern
Primum Health
06.2023 - 09.2023
Software Developer (Part Time)
Frugal Innovation Hub
04.2023 - 06.2023
Research Assistant (Part Time)
Brain and Memory Care Lab
12.2022 - 06.2024
Master of Science - Computer Science
Santa Clara University
Bachelor of Science - Computer Science
University of Delhi
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