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Work Experience
Work Experience
Machine Learning Engineer, HyperVerge
Machine Learning Engineer, HyperVerge
Sept 2022 – Feb 2023
Researched and implemented advanced techniques for photo forgery detection in KYC Identification
Enhanced the verification pipeline by pioneering a model capable of identifying both physical and digital photo forgeries
Reduced false acceptance rate from 2.2% to 1.8% and false rejection rate from 0.7% to 0.3%, resulting in an approximate $10,000 increase in revenue across Asian clients
Internships
Internships
Deep Learning Intern, TIBIL Solutions
Deep Learning Intern, TIBIL Solutions
Mar 2020 – Jun 2020
Worked on long-term wind power forecasting using an ARIMA-ANN hybrid model
Machine Learning Intern, Arocom IT
Machine Learning Intern, Arocom IT
May 2021 - July 2021
Developed End‐to‐End Machine learning models, including steps like Data cleaning, Visualization, Machine learning Models, and Hyperparameter tuning. Finally, the models were deployed using Flask.
Research Interests
Research Interests
Computer Vision, Artificial Intelligence for Healthcare, Time Series Analysis, Few-Shot Learning, Zero-Shot Learning, Continual Learning
Publications
Publications
Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning
Detection of Myocardial Infarction From 12-Lead ECG Trace Images Using Eigendomain Deep Representation Learning
Sathvik Bhaskarpandit, Anurag Gade, Shaswati Dash, Dinesh Kumar Dash, Rajesh Kumar Tripathy, Ram Bilas Pachori
IEEE Transactions on Instrumentation and Measurement
How Much Data is Enough? Benchmarking Transfer Learning for Few Shot ECG Image Classification
How Much Data is Enough? Benchmarking Transfer Learning for Few Shot ECG Image Classification
Sathvik Bhaskarpandit
Scarce Data in Artificial Intelligence for Healthcare Workshop, IJCAI 2022
Past Research Projects
Past Research Projects
Patient Monitoring Outcomes in the Emergency Department
Patient Monitoring Outcomes in the Emergency Department
Sept 2022 – Feb 2023
Undergraduate thesis, advised by Dr. Pranav Rajpurkar, Harvard Medical School
Continual Learning for Point Processes using Neural Hawkes’ Model
Continual Learning for Point Processes using Neural Hawkes’ Model
Apr 2021 – Jan 2022
with Prof. Srijith P.K, Indian Institute of Technology Hyderabad
Lifelong Learning for Natural Language Tasks
Lifelong Learning for Natural Language Tasks
Sep 2021 – Dec 2021
Image Clustering with Autoencoders
Image Clustering with Autoencoders
Jan 2020 – Apr 2020
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