Quality Engineer Control

Aditi Aravind .

********.*****@*****.*** • +91-908******* • Chennai, India

LinkedIn: www.linkedin.com/in/aditiaravind • GitHub: https://github.com/aditiaravind RESEARCH EXPERIENCE

Smirnakis Lab, Brigham & Women’s Hospital, Harvard Medical School 06/2023 – 02/2024

- Developed algorithms to ascertain connectivity of neurons in the visual cortex of autism mouse models from two-photon calcium imaging data and achieved a remarkable 99% reduction in execution time.

- Applied network theory to discover statistically significant differences in autistic visual perception, providing valuable insights for potential therapeutic interventions.

Neuro-behavioural Dynamics Lab, ETH Zurich 09/2022 – 04/2023

- Implemented a novel encoding model analysing neuronal signals to decipher the relationship between mice hippocampal activity, behavioural features, and probability of reward in an associative conditioning task paradigm.

- Publication: Do orexin/hypocretin neurons track sensory, cognitive, or motor information? (awaiting submission CommsBio) Decision Neuroscience Lab, ETH Zurich 11/2021 – 02/2022

- Discerned optimal location within 2mm for deep brain stimulation implants from thalamic micro-electrode recordings to improve surgical precision and minimize necessity of costly post-operative imaging procedures. Yuan Ze University, Taiwan 01/2021 – 06/2021

- Evaluated the state of consciousness of anesthetized patients using an explainable AI model with a mean squared error (MSE) less than 0.01, contributing to the delivery of the precise amount of anesthetic required for optimal patient care. WORK EXPERIENCE

Innovasphere Infotech, Chennai 04/2024 – Present

Product Associate – Innovation

- Leveraged large language models (LLMs) to efficiently query databases and automatically generate insightful analytics and reports for an ERP solution in the education sector, enhancing data-driven decision-making. Upwork, remote

Freelance Machine Learning Engineer 01/2021 – 03/2021

- Designed machine learning pipelines combining various feature extraction, elimination and classification methods to predict emotions using EEG data, calculating accuracy and F1 scores on multiple divisions (e.g., male vs. female) to find optimal patterns. SeeHow Pvt Ltd, Bangalore 05/2019 – 06/2019

Signal Processing Intern

- Prototyped a preliminary algorithm for real-time processing of multiple sensors’ data in the Smart Cricket Bat during different moments of the bat swing and obtained relevant statistics to enhance a players’ performance. Ashva Wearable Technologies, Vellore 10/2018 – 04/2019 Biomedical Research and Analysis Intern

- Conducted biomedical research on an intelligent knee-orthotic device, leveraging embedded sensor data to suggest exercises for increased mobility.

EDUCATION

ETH (Swiss Federal Institute of Technology), Zurich, Switzerland 09/2021 – 03/2024 MSc. Biomedical Engineering (CGPA : 5.19/6)

- Relevant Coursework: Neural Systems, Introduction to Neuroinformatics, Advanced Signal Analysis and Modelling, Deep Learning in Artificial and Biological Neuronal Networks, Translational Neuromodelling, Human Computer Interaction. Vellore Institute of Technology, Vellore, India 07/2017 – 06/2021 BTech. Biomedical Engineering (CGPA : 9.42/10)

- Secured Merit Scholarship for ranking 1st in all 4 years

- Relevant Coursework: Microcontrollers, Control Systems, Digital & Bio-signal Processing, Physiological System Modelling, Image Processing, Machine Learning, Neural Networks, Data Visualization, Artificial Intelligence. PERSONAL PROJECTS

Medical Image Segmentation from medical imaging 04/2022 – 06/2022

- Segmented abdominal organs from CT and MRI scans using an ensemble of Image Processing algorithms and Convolutional Neural Networks (U-Nets).

Motor Imagery Analysis for Brain Computer Interfaces 04/2020 – 07/2020

- Predicted motor movements like wrist and finger actions from decomposed EEG signals using a Residual Network yielding a test accuracy of 92.5% and 95.6% on the two sets of data. TECHNICAL SKILLS

- Programming Languages and Software: Python, MATLAB, Java, R, LabVIEW, SQL,Suite2p, ImageJ, DeepLabCut, Git.

- Areas of Interest and Specialities: Digital Signal & Image Processing, Machine Learning & AI, Healthcare Analytics, Neuroscience, Clinical Research, R&D, Regulatory and Compliance.

- Certifications: Animal Handling Certification (Institute of Laboratory Animal Sciences, UZH, 10/2021), Neural Networks and Deep Learning (Coursera, 11/2020), Hands-on Training in Biomedical Applications (Harvey Biomedical, 06/2018).

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