Vanditha Rao

Task: Development of a cutting-edge neural network architecture mimicking human auditory systems - Implementation of an Elementary Spiking Neural Network (SNN) and Logic Gates within the Nengo framework. - Innovatively applied Self Organizing Maps algorithm to analyze audio datasets - Collaborated closely with management to define and refine deep learning objectives, ensuring alignment with company goals. - Researched and implemented industry best practices to optimize existing deep learning algorithms.

Task: To explain to the end-users how the Artificial Intelligence products use the data. - Conducted comprehensive research and meticulously organized information to explain to end-users how Artificial Intelligence products leverage data. - Designed a robust protocol facilitating the request and accessibility of automated output from AI-powered products, enhancing transparency and accountability.

Task: Comparison of different Post-hoc Explainable Artificial Intelligence (XAI) methods on skin lesion classifier. - Designed and developed explainability on skin lesion classifier. - Conducted rigorous evaluations of XAI methods and performed empirical studies on classifier decision-making, yielding valuable insights. - Achieved a significant 20% reduction in computational time complexity and a remarkable 49.74% decrease in memory requirements through code optimization.

Task: Image analysis of microscopic fluorescence images of Digital Droplet Polymerase Chain Reaction(ddPCR). - Developed a solution called Intensity Based Classifier to distinguish between droplets that did not contain target DNA molecules and those with PCR-amplified target DNA molecules. - Executed data visualization technique to map and simplify statistical analysis of Intensity Based Classifier.

Deep Learning Laboratory has four exercises and a project. The exercises focus on Image segmentation and Hyper parameter optimization using TensorFlow. Project: AutoML Tweakathon (On-going): The focus of this project is to design a program capable of providing solutions to large scale supervised learning problems autonomously; where the problems are subject to the drifting concepts, getting away from the simpler i.i.d. cases. The goal is to achieve the highest test performance on a private test set

Task: Object Detection in Trolley Problem image to evaluate moral judgments made by the robot "Immanuel". - Developed and optimized an efficient object detection algorithm utilizing OpenCV-Python in Trolley Problem scenarios. - Successfully identified 80% of objects within Trolley Problem images.

Task: Quality analysis and validation of a clinical trial application for Novo Nordisk A/S pharmaceutical company. - Assumed independent project leadership and actively participated in client-design sessions to ascertain project specifications. - Collaborated with clients and business analysts through analysis reports and presentations. - Created and executed test cases and logged defects encountered during testing. - Performed regression testing to validate and ensure good quality standards of the software

I worked on a project entitled "Field Emission Based Pressure Sensor". My role in the project was designer. Along with other teammates, I designed a device which senses pressure in terms of current. During this short span I gained fairly good knowledge on Computer Simulation technology (CST) Particle Studio software which is used for designing and analyzing 3D components and also, fabrication and testing of MEMS pressure sensor in which Carbon Nanotubes were used as the sensing element.

Master Thesis: Comparison of different Explainable AI (XAI) methods on skin lesion classifier. Specialization: Deep Learning, Machine Learning, Reinforcement Learning Skills: Reinforcement Learning · Statistics · Pattern Recognition · Computer Vision · Machine Learning · Deep Learning · Artificial Intelligence (AI)

Grade: CGPA- 8.69 Apart from curriculum, I have enthusiastically attended three days faculty development workshop on Analog System Design using Texas Instruments Analog System Lab Kit (ASLK v 2010) organized in association with Cranes Software International Ltd and Texas Instruments India University program. I have also participated in Texas Instruments India Innovation Challenge Design 2012-2013. We proposed a project and got shortlisted for participation in Phase 1 of the contest.